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Sr. Data Scientist

Job Description

We are looking for a Senior Data Scientist who is passionate about working in the healthcare AI domain. This role will involve collaborating with cross-functional teams, including senior data scientists, application developers, and radiology experts, to develop and refine AI solutions for medical imaging. You will gain hands-on experience working on advanced projects and research opportunities in Computer Vision and Deep Learning.

Key Responsibilities

Lead the design, development, and optimization of deep learning models for medical image analysis, including tasks like segmentation, classification, object detection.
Provide technical leadership and mentorship to junior data scientists and engineers, fostering best practices in research methodology, coding standards, and documentation.
Perform advanced error analysis, bias assessment, and domain generalization studies to ensure robustness across diverse populations and imaging devices.
Guide data storage, pre processing and annotation strategies, collaborating with clinical experts to ensure data quality and clinical validity.
Collaborate cross-functionally with radiologists, regulatory teams, and product stakeholders to align AI development with clinical requirements and compliance standards.

Experience

3+ years in Data Science/Machine Learning

Required Skills

Strong programming skills in Python and familiarity with data science and image processing libraries (e.g.,NumPy, pandas, scikit-learn, opencv, PIL).
Strong fundamental knowledge of machine learning, computer vision and image processing
Hands-on experience with deep learning frameworks like Keras or PyTorch.
Demonstrated experience with both CNNs and transformer-based architectures (e.g., ViT, Swin) for segmentation, detection, and classification tasks.
Strong background with model evaluation and error analysis.
Ability to bridge data science with engineering tasks, ensuring smooth integration of AI models into production workflows.
Hands-on experience with model optimization techniques (e.g distillation, ONNX conversion) for efficient inference.
Hands-on experience with containerization tools like Docker

Desired Skills

Familiarity with healthcare/radiology datasets, DICOM standards, and PACS integration.
Experience with domain adaptation, and robustness strategies for cross-site/cross-device generalization.
Experience with scalable backend development for AI applications

Qualification

Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field.

Company Location: Baner, Pune

How to Apply: Please send your resumes at

DeepTek

Today

Data Scientist

About the Role:

We are seeking skilled Data Scientists with a strong foundation in Python and SQL to join our growing Data & Analytics team. You will work on end-to-end data-driven solutions - from data cleaning to model deployment - enabling key insights for strategic decisions.

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Data Scientist

About the Role:

Key Responsibilities:

Analyze large, complex datasets to extract meaningful business insights.
Build and deploy machine learning and predictive models.
Work on projects involving risk analytics, fraud detection, and data enrichment.
Use Python and SQL for data processing, analysis, and automation.
Collaborate with cross-functional teams to translate data findings into actionable business strategies.

Skills Required:

Python (Mandatory)
SQL (Mandatory)
Machine Learning (Regression, Classification, XGBoost, etc.)
Data Visualization (Power BI / Tableau)
Predictive Modeling
Statistical Analysis
Data Mining & Feature Engineering
Risk Analytics / Fraud Analytics
Big Data Tools (Hadoop / Hive preferred)

Qualifications:

Graduate / Postgraduate in Computer Science, Statistics, Mathematics, Data Science, or related fields.
2-6+ years of experience in data analytics, machine learning, or business insights.

upGrad Rekrut

Today

Senior Data Scientist

TheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model. NucliOS, MathCo’s proprietary platform with pre-built workflows and reusable plug-and-play modules, enables the vision of connected intelligence at a lower TCO.

For our employees, we foster an open, transparent, and collaborative culture with no barriers, making MathCo a great place to work. We provide exciting growth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to ‘Leave a Mark’.

Job Responsibilities

As Sr Data Scientist, you will be responsible for a wide range of engagements listed below:

• Formulates complex problems into hypotheses and proofs of concept for testing. Socializes this with the rest of the team and guides them to deliver on it.

• Applies business acumen in analyses to extract meaningful and actionable information.

• Communicates complex ideas and insights effectively to stakeholders with various levels of technical experience.

• Leverages various analytical techniques, appropriate to solving the business problem at hand.

• Performs research for solutions and solves problems efficiently to overcome data anal

MathCo

Yesterday

Senior Data Scientist [T500-21184]

About Albertsons Companies Inc.:

As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners across the United States, including Albertsons, Safeway, Vons, Jewel-Osco and others, serve more than 36 million U.S customers each week.

We build and shape technology solutions that solve customers’ problems every day, making things easier for them when they shop with us online or in a store. We have made bold, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.

Our success is built on a one-team approach, driven by the desire to understand and enhance the customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.

About Albertsons Companies India:

At Albertsons Companies India, we're not just pushing the boundaries of technology and retail innovation, we're cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company’s technology journey to support millions of customers’ lives every day.

At the Albertsons Companies India, we are raising the bar

Albertsons Companies India

3 days ago

Senior Data Scientist

About the job

Role : Senior Data Scientist (AI & Data)

Location: Remote (Work from Home)

We’re hiring a Senior Data Scientist to build the next generation of intelligent

decision systems that power pricing, supply optimization, ranking, and personalization

in our global B2B hotel marketplace.

This is a high-impact role at the intersection of machine learning, optimization, and

product engineering, where you’ll leverage deep statistical modeling and modern ML

techniques to make real-time decisions at scale.

You’ll collaborate closely with Product, Engineering, and Data Platform teams to

operationalize data science models that directly improve revenue, conversion, and

marketplace efficiency.

You’ll own the full lifecycle of ML models—from experimentation and training to

deployment, monitoring, and continuous retraining to ensure performance at scale.

Responsibilities

● Design and implement ML models for dynamic pricing, availability prediction,

and real-time hotel demand optimization.

● Develop and maintain data pipelines and feature stores supporting

large-scale model training and inference.

● Leverage Bayesian inference, causal modeling, and reinforcement learning

(bandits / sequential decision systems) to drive adaptive decision platforms.

● Build ranking / recommendation system

Recro

3 days ago

Data Scientist

Who We Are

For 20 years, we have been working with organizations large and small to help solve business challenges through technology. We bring a unique combination of engineering and strategy to Make Data Work for organizations.

Our clients range from the travel and leisure industry to publishing, retail and banking. The common thread between our clients is their commitment to making data work as seen through their investment in those efforts.

In our quest to solve data challenges for our clients, we work with large enterprise, cloud-based and marketing technology suites. We have a deep understanding of these solutions so we can help our clients make the most of their investment in an efficient way to have a data-driven business.

Softcrylic now joins forces with Hexaware to Make Data Work in bigger ways!

Why Work at Softcrylic part of Hexaware ?

Softcrylic provides an engaging, team-focused, and rewarding work environment where people are excited about the work they do and passionate about delivering creative solutions to our clients.

Skills required:

Independent problem solving on small/medium-scale projects
Knowledge of advanced statistical methods and machine learning
Able to work with large datasets in cloud environments
Strong technical communicator who is comfortable troubleshooting very complex data problems

Softcrylic

3 days ago

Senior Data Scientist

Company Overview:

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Job Location: Bangalore

Major Duties & Responsibilities

Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions
Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects
Influence machine learning strategy for Digital programs and projects
Make solution recommendations that appropriately balance speed to market and analytical soundness
Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor
Develop analytical / modelling solutions using a variety of commercial

Fractal

3 days ago

Lead Data Scientist-Gen AI

Job Overview:

Locations- Indore/Pune/Hyderabad/Bangalore

We are looking for a AI/ML Developer to join our team of researchers, data scientists, and developers. You will work on cutting-edge AI solutions across industries such as commerce, agriculture, insurance, financial markets, and procurement. Your role involves developing and optimizing machine learning and generative AI models to solve real-world challenges.

Key Responsibilities:

• Develop and optimize ML, NLP, Deep Learning, and Generative AI models.

• Research and implement state-of-the-art algorithms for supervised and unsupervised learning.

• Work with large-scale datasets in distributed environments.

• Understand business processes to select and apply the best ML approaches.

• Ensure scalability and performance of ML solutions.

• Collaborate with cross-functional teams, including product owners, designers, and developers.

• Solve complex data integration and deployment challenges.

• Communicate results effectively using data visualization.

• Work in global teams across different time zones.

Required Skills & Experience:

• Strong experience in Machine Learning, Deep Learning, NLP, and Generative AI .

• Hands-on expertise in frameworks like TensorFlow, PyTorch, or Hugging Fa

YASH Technologies

4 days ago

Data Scientist (Immediate joiners)

Our client is seeking a highly skilled and experienced Data Scientist with deep expertise in Python programming and SQL to join their advanced analytics team. The ideal candidate will leverage their strong programming skills and statistical knowledge to build, deploy, and maintain robust machine learning models that solve complex business challenges and drive measurable value.

Looking for Immediate joiners

Location - Bangalore, Hyderabad, Gurgaon

Skills Required:

Bachelor's degree in engineering, technology, computer science or related field.
ML Algorithms ,(XG Boost, Random forest)
5+ years of proven data analytics experience in fraud prevention, risk management, or a related field
Familiarity with fraud detection software, risk assessment methodologies, and regulatory compliance.
Strong experience in SQL or Python
Excellent communication and presentation skills with the ability to convey complex information clearly and concisely.
Detail-oriented with a proactive mindset toward problem-solving and risk mitigation.
Ability to work collaboratively in a cross-functional team environment.

a client of NeerInfo Solutions

3 days ago

Senior Data Scientist

Job Overview:

Experience Required: 5+ Years

Location: Indore, Pune, Bangalore, Hyderabad

We are looking for a Sr. Data Scientist to join our team of researchers, data scientists, and developers. You will work on cutting-edge AI solutions across industries such as commerce, agriculture, insurance, financial markets, and procurement. Your role involves developing and optimizing machine learning and generative AI models to solve real-world challenges.

Key Responsibilities:

Develop and optimize and lead ML, NLP, Deep Learning, and Generative AI model/projects.
Research and implement state-of-the-art algorithms for supervised and unsupervised learning.
Work with large-scale datasets in distributed environments.
Understand business processes to select and apply the best ML approaches.
Ensure scalability and performance of ML solutions.
Collaborate with cross-functional teams, including product owners, designers, and developers.
Solve complex data integration and deployment challenges.
Communicate results effectively using data visualization.
Work in global teams across different time zones.

Required Skills & Experience:

Strong experience in Machine Learning, Deep Learning, NLP, and Generative AI.
Hands-on expertise

YASH Technologies

5 days ago

Lead Data Scientist

Key Responsibilities:

Collaborate with cross-functional teams to design, develop, and implement innovative solutions using LLMs, and latest data science technologies.
Understand Business problems and implement machine learning models to solve complex business problems
Assist in the analysis and interpretation of complex datasets to extract valuable insights and drive data-driven decision-making.
Support the development and deployment of machine learning models and algorithms to enhance various aspects of insurance operations.
Contribute to the creation of data pipelines and ETL processes to ensure efficient data collection, processing, and storage.
Participate in the research and evaluation of emerging technologies and tools to continuously improve our solutions and stay ahead of industry trends.
Lead and mentor team members, communicate effectively with stakeholders, and deliver high-quality results on time and within budget

Technical Qualifications:

Total 5+years of experience.
Ph.D. in data Science or Msc (Maths/Statistics) with 3+ year’s experience
Formal training & certification in data science/AI/ML is required
Strong enthusiasm and passion for new technologies, especially Large Language Models (LLMs) and their applications.
Good understanding of data science concepts, including statistical analysis, machine learni

Cogitate

5 days ago

Data Scientist - Pricing Strategy

Job Summary:

The Data Scientist - Pricing Strategy plays a key role in driving pricing innovation through advanced

analytics and statistical modeling. This role blends pricing strategy with data science capabilities to

identify margin improvement opportunities, enhance price optimization, and support pricing

governance. The ideal candidate brings deep analytical skills, hands-on experience with data tools,

and a strong understanding of pricing levers across markets and customer segments.

Essential Functions:

1. Advanced Pricing Analytics & Modeling

- Build and maintain statistical models and machine learning algorithms to optimize pricing and

discount strategies.

- Conduct pricing elasticity studies and scenario analyses using historical data.

2. Market and Customer Segmentation

- Analyze customer, product, and transactional data to develop pricing segmentation models.

- Identify trends and patterns in client willingness to pay (WTP), profitability, and behavior.

3. Tool & Dashboard Development

- Build and automate pricing dashboards in Power BI, Excel, and/or Python.

- Create dynamic, user-friendly reporting tools to support sales, finance, and executive teams.

4. Data Management & Integration

- Work with large datasets from multiple sources (Salesforce, CPQ, ERP, financial systems) and

integrate for pricing analysis.

Talent Corner HR Services Pvt Ltd
2 days ago

Data Scientist 4 - GCP [T500-20227]

About Costco Wholesale

Costco Wholesale is a multi-billion-dollar global retailer with warehouse club operations in eleven countries. They provide a wide selection of quality merchandise, plus the convenience of specialty departments and exclusive member services, all designed to make shopping a pleasurable experience for their members.

About Costco Wholesale India

At Costco Wholesale India, we foster a collaborative space, working to support Costco Wholesale in developing innovative solutions that improve members’ experiences and make employees’ jobs easier. Our employees play a key role in driving and delivering innovation to establish IT as a core competitive advantage for Costco Wholesale.

Position Title: Data Scientist 4

Job Description:

Roles & Responsibilities:

Define the long-term vision and strategy for data science initiatives: Set the direction for the organization’s data science, ML, and AI efforts, including advanced analytics, predictive modeling, and AI-driven automation.
Lead and mentor a team of data scientists: Provide technical guidance, and mentorship for team members.
Identify and explore cutting-edge research areas and technologies: Stay abreast of the latest advancements in ML, AI, and data science, and evaluate their potential for the organization.
Drive innovation and the development of novel

Costco IT

Yesterday

Lead Data Scientist

About us:

Netcore Cloud is a MarTech platform helping businesses design, execute, and optimize campaigns across multiple channels. With a strong focus on leveraging data, machine learning, and AI, we empower our clients to make smarter marketing decisions and deliver exceptional customer experiences. Our team is passionate about innovation and collaboration, and we are looking for a talented Lead Data Scientist to guide and grow our data science team.

Role Summary:

As the Lead/Principal Data Scientist, you will head our existing data science team, driving the development of advanced machine learning models and AI solutions. You will play a pivotal role in shaping our ML/AI strategy, leading projects across NLP, deep learning, predictive analytics, and recommendation systems, while ensuring alignment with business goals. This role combines hands-on technical leadership with strategic decision-making to build impactful solutions for our customers.

Key Responsibilities:

Leadership and Team Management :

Lead and mentor the existing data science engineers, fostering skill development and collaboration.
Provide technical guidance, code reviews, and ensure best practices in model development and deployment.

Model Development and Innovation :

Design and build machine learning models for tasks like NLP, recommendation systems, customer segmentati

Netcore Cloud

4 days ago

Data Scientist

Job Description:

Experience: 7 -11 Years

Notice period: 0 -30 Days

Location: Bangalore, Gurgaon.

You will be responsible for design and engineering aspects of the Machine Learning ecosystem developing life cycle frameworks and delivering state-of-the-art solutions for ML pipelining deployment and integration with the backend product Your role is needed to ensure efficient architecture and low-level design of deep learning-based solutions and high-quality deliverables with focus on innovation scientific research experimentation and optimal design

A successful candidate will have strong analytical skills be passionate towards resolving complex problems building scalable and stable solutions and open for technical challenges The ideal candidate will bring new knowledge and experience to the team.

As a subject matter expert, you will be combining your professional experience and an intrinsic desire for problem solving

Development and implementation of ML models for product brand extraction based on product name description and other attributes
Development and implementation of ML based product matching solutions
Development of text-based product classification tools
Analyze big amount of data from online retailers using statistical techniques to identify patterns
Build ML statistical and analytical models fore

LTIMindtree

3 days ago

Lead Data Scientist

About Position:

As the Lead Data Scientist, you will spearhead our advanced research efforts and drive innovation across generative AI, model fine-tuning, and agentic AI systems.

Role: Lead Data Scientist
Location: Pune
Experience: 10+ Years
Job Type: Full Time Employment

What You'll Do:

Define and execute the organization's AI research roadmap, identifying emerging opportunities in generative AI, large language models, and autonomous systems
Mentor and develop a team of 3–4 data scientists, fostering a culture of innovation, collaboration, and technical excellence
Prioritize research initiatives across generative models, model fine-tuning approaches, and agentic AI architecture
Guide the implementation of novel AI architectures, ensuring robust evaluation frameworks and deployment strategies
Partner with product, engineering, and business units to translate research breakthroughs into valuable applications and features
Establish processes for internal knowledge sharing, publication in top-tier conferences, and patent applications
Represent the organization at industry conferences, academic forums, and strategic partnerships

Expertise You'll Bring

Master’s or BTech in Computer Science, Machine Learning, or relate

Persistent Systems

3 days ago

Data Scientist

Key Responsibilities:

Design and implement end-to-end generative AI solutions including RAG chatbots, LLM-powered BI systems, and coding agents
Develop and deploy AI agents using frameworks like LangGraph and similar orchestration tools
Build robust data processing pipelines using LlamaIndex and related libraries for document ingestion and retrieval
Implement and optimize vector databases for semantic search and retrieval systems
Integrate multiple LLM providers (OpenAI, Gemini, Anthropic) and evaluate model performance
Set up comprehensive observability and monitoring using tools like LangSmith
Collaborate with engineering teams to productionize ML models and AI applications

Required Skills:

Generative AI (Minimum Requirements):

Strong programming skills in Python
Hands-on experience with Temporal, LangGraph or similar AI agent frameworks
Proficiency with LlamaIndex, LangChain, or equivalent data processing libraries
Experience with vector databases (Pinecone, Weaviate, Chroma, etc.)
Working knowledge of multiple LLMs and their APIs (OpenAI GPT, Gemini, Claude)
Experience with LLM observability tools (LangSmith, Weights & Biases, etc.)
Proven track record in building LLM BI solutions (natural language to SQL)
Experience developing RAG (Retrieval-Augmented Generation) chatbots

Grid Dynamics

3 days ago

Lead Data Scientist LLM [T500-20566]

ANSR is hiring for one of its clients.

About 4flow:

Headquartered in Berlin, Germany, 4flow provides consulting, software and services for logistics and supply chain management. More than 1300 team members leverage their supply chain expertise and IT know-how to best serve their customers at 20+ locations around the world.

4flow develops and implements lean, agile and sustainable supply chain strategies that enhance operational efficiency and drive cost savings for businesses worldwide. Their clients span across multiple high-impact industries including vehicle manufacturers and suppliers, consumer goods and retail, industrial machinery manufacturers, medical technology, basic materials, spare parts, renewable energy, high-tech and telecommunications, and logistics service providers (LSP).

As a Senior Data Scientist LLM, you will develop, fine-tune, and deploy large language models (LLMs) tailored to specific business needs. You will collaborate across teams to integrate LLMs into production systems and ensure their performance, reliability, and alignment with business goals.

Tasks:

Fine-tune and optimize LLM and NLP models (e.g., GPT, BERT, T5, LLaMA) for real-world applications
Integrate LLMs into scalable, production-grade systems
Apply prompt engineering techniques to improve model performance and task alignment
Collaborate with ML engineers and

ANSR

4 days ago

Data Scientist

Job title: Data Scientist (Full time)

Report to: Data Science Manager in Pune

Job Responsibilities

Solve Time series 1D (continuous glucose monitoring), RNA sequencing, and Computer vision (mainly medical images) problems
Solve challenging problems using scalable 1D signal processing, machine learning, and deep learning approaches.
In charge of developing state-of-the-art machine learning/deep learning algorithms for medical datasets
Communicate highly technical results and methods concisely and clearly
Collaborate with researchers in Japan to understand requirement as well request data.

Requirement

Master/Ph.D. in relevant field from tier-1 colleges
Major in Computer Science and Engineering or Data Science
CGPA greater than 8.0
1~2 years of professional work experience with programming language/s Python or C++, Pandas
1~2 years of experience of professional working with deep learning framework, i.e. Pytorch or Tensorflow
Well acquainted with classical time series problems-algorithms, NLP, Computer vision etc.
Demonstrated experience with machine learning/deep learning models.
Candidates should be able to read and implement research papers from top conferences.
Develop IP (patents) and publish papers.
Proficiency in Windows, Linux, dockers, PPT, and Git

ARKRAY, Inc.

5 days ago

Data Scientist

Job Description – Data Scientist

We are looking for an experienced Data Scientist to join our team. The candidate must have prior Data Scientist experience (mandatory) with a minimum of 6+ years of overall experience and at least 3+ years in a Data Scientist role. The ideal candidate should have strong expertise in machine learning, deep learning, and data analysis to drive data-driven business solutions.

Key Responsibilities

Collect, clean, and preprocess large datasets for analysis.
Perform Exploratory Data Analysis (EDA) and statistical modeling.
Build and evaluate machine learning models using Scikit-Learn.
Develop and optimize deep learning models with TensorFlow and PyTorch .
Design and fine-tune Generative AI models (LLMs, diffusion models, transformers) for real-world applications.
Create compelling data visualizations using Matplotlib and Seaborn.
Translate business requirements into data-driven insights and strategies.
Monitor and improve model performance in production.
Communicate findings effectively to technical and non-technical audiences.

Required Skills & Experience

6+ years overall experience, with 3+ years in a Data Scientist role (mandatory).
Strong foundation in Mathematics, Statistics, and Probability.
Proficiency in Python and

Summit Consulting Services

2 days ago

Senior Data Scientist

We are looking for a Senior Data Scientist who can translate business problems into scalable analytical models and lead the design of AI-driven solutions. You will work at the intersection of data, domain, and decision-making , collaborating with engineering and strategy teams to operationalize machine learning in real-world contexts. Key Responsibilities

Lead end-to-end data science initiatives — from problem framing and data exploration to model deployment .
Build and optimize predictive, prescriptive, and generative models using modern ML techniques.
Partner with data engineering teams to ensure robust data pipelines and governance for model reliability.
Define and implement model evaluation frameworks — accuracy, drift detection, explainability, and impact metrics.
Mentor junior data scientists and analysts; establish coding and experimentation best practices.
Collaborate with business stakeholders to identify high-value AI use cases and prototype proofs of concept.

Required Skills & Experience
10+ years of total experience, with 5+ years in applied data science or machine learning.
Expertise in Python , SQL , and ML libraries (scikit-learn, XGBoost, PyTorch, TensorFlow).
Strong foundation in statistics, optimization, and data storytelling .

Veraxion

3 days ago

Data Scientist

Tech Stack

Modeling & ML Frameworks:Python, scikit-learn, PyTorch, TensorFlow — spanning classical

ML, deep learning, and transformer-based architectures. Includes modern ensemble methods

(XGBoost, LightGBM) for large-scale structured modeling.

Applied Domains: Ranking, Recommendation, Dynamic Pricing, Forecasting, Supply–Demand

Optimization, Semantic Search, NLP/NLU, Generative Content Systems

Data & Compute: Databricks, PySpark, AWS (S3, Glue, EMR, Athena), ScyllaDB, MongoDB,

Redis

Experimentation & Optimization: MLflow, Airflow, SageMaker, Bayesian Optimization,

Bandit/Sequential Experimentation

LLMs & GenAI: Claude, OpenAI GPT-4, SLMs, LangChain, Cursor IDE, RAG Pipelines,

Embedding Models, Vector Search (FAISS / Pinecone)

Observability: Grafana, Prometheus, Data Quality Monitors, Custom Model Dashboards

We’re in the early stages of building a Data Science & AI team — the learning curve,

innovation velocity, and ownership opportunities are immense. You’ll help define the foundation

for experimentation, production ML pipelines, and GenAI innovation from the ground up.

Role : Senior Data Scientist (AI & Data)

Location: Remote (Work from Home)

We’re hiring a Senior Data Scientist to build the next generation of intelligent

decision systems that power pricing, supply optimization, ranking, and person

Recro

3 days ago

Senior Data Scientist

C5i

C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence. The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases. At the core, C5i’s focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making.

C5i caters to some of the world’s largest enterprises, including many Fortune 500 companies. The company’s clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors. C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms.

Global offices

United States | Canada | United Kingdom | United Arab of Emirates| India

Role Overview

The Data Scientist will work at the intersection of manufacturing operations, data science, and business strategy. The role demands curiosity to explore production data, creativity to design advanced models, and clarity to translate insights into actionable plant-level decisions. You’ll focus on improving yield, quality, throughput, and sustainability using pre

C5i

5 days ago

Senior Data Scientist ( Machine Learning Engineer)

Key Responsibilities

Data Science

Design, develop, and deploy sophisticated machine learning models to solve complex business challenges.
Build and optimize end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment.
Drive Generative AI initiatives, creating innovative products and solutions.
Conduct in-depth analysis of large, complex datasets to generate actionable insights and recommendations.
Work closely with cross-functional stakeholders to understand business requirements and deliver data-driven strategies.

General

Write clean, efficient, and maintainable code in Python and at least one other language (e.g., C# , Go , or equivalent).
Participate in code reviews, ensuring adherence to best practices and coding standards.
Stay abreast of the latest industry trends, tools, and technologies in Data Engineering, Data Science, and Generative AI.
Document processes, models, and workflows to ensure knowledge sharing and reproducibility.

CarTrade.com

3 days ago

Senior Data Scientist

Entity: Technology Job Family Group: IT&S Group Job Description: You will work with Being part of the P&O Digital Delivery data group, you will apply your experience and familiarity with domain data processes to support the P&O organisation across teams such as Wells & Subsurface, Production and bp Solutions. These teams provides daily operational data management, data engineering and analytics support to this organisation across a broad range of disciplines, applications and business requirements. Let me tell you about the role A data scientist applies scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Their key responsibilities include collecting and analyzing large sets of data, using machine learning algorithms, statistical models, and data processing techniques to predict future trends and provide actionable insights. A machine learning engineer designs and develops artificial intelligence (AI) systems that can learn and make decisions autonomously. Their key responsibilities include creating and optimizing machine learning models, developing algorithms that enable machines to perform tasks without explicit programming, and working with large datasets to train these models. They collaborate with data scientists, software engineers, and domain experts to implement machine learning solutions that address specific business needs. Additionally, machine learning engineers are responsible for ensur

BP Energy

Today

Advanced Data Scientist [T500-20971]

About Albertsons Companies Inc.:

About Albertsons Companies India:

At the Albertsons Companies India, we are rai

Albertsons Companies India

Yesterday

Data Scientist

Minimum 5+ years of Experience required

Excellent analytical and problem-solving skills

Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.

Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications

Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks

Should be able to host the models and make them api convertible.

Good communication and presentation skills in order to explain your work to people who don't understand the mechanics behind data analysis.

KEY SKILLS:

Predict future events and automate intelligent decision-making.
Predictions / Data enhancements/ Extra to data.
Building Predictive Models, Creating Algorithms, Developing Recommendation Engines, Customer Segmentation, Generative AI
Python for data science coding (pandas, sk-learn etc) , Machine Learning (build/ train model), Basic and Advanced Statistics (mean, vairance, Standard Deviation), Predictive/ Generative AI hands on, Prompt engineering, LLMs, Fine tuning.

Responsibilities-

Working on Cutting Edge AI s

Infosys Finacle

Yesterday

Data Scientist

Job Description:

Relevant experience of 5 years is Data Scientist
Top three skills including Industry experience in Python Coding, SQL and Data Science & ML experience.
3+ years of relevant experience working in Financial Systems and Financial KPIs
Should have strong experience in Python and Big Query
Exposure to AIML will be an added advantage
Mandatory experience in Regression and Classification is a must and Time series is a plus
Only Engineering background

Immediate to 15 days profiles only.

ACL Digital

3 days ago

Data Scientist- Gen AI and ML

Job Title: Data Scientist – GenAI & Machine Learning

Experience Required: 3+ Years

Location: Nagpur

About the Role:

We are seeking a data scientist with around 3 years of experience in applied machine learning, data analytics, and GenAI solutions. The ideal candidate will have a strong foundation in traditional ML along with hands-on exposure to LLMs (Large Language Models), Retrieval-Augmented Generation (RAG) architectures, and prompt engineering. You’ll work on end-to-end data projects — from data collection and model training to deploying AI-driven applications that enhance decision-making and automation.

Key Responsibilities:

● Analyze large datasets to generate actionable business insights.

● Design, train, and optimize ML and GenAI models for tasks such as text generation, summarization, classification, and recommendation.

● Develop and maintain RAG pipelines, integrating vector databases and retrieval layers to improve model accuracy and contextual awareness.

● Implement and fine-tune LLMs using frameworks like LangChain, LlamaIndex, or Hugging Face Transformers.

● Build data pipelines and automation workflows for scalable model deployment.

● Collaborate with engineering teams to operationalize AI models using cloud services (AWS SageMaker, Azure ML, GCP

Zehn Solutions

3 days ago

Lead Data Scientist

About the Company

We are investing massively in developing next-generation AI tools for multimodal datasets and a wide range of applications. We are building large scale, enterprise grade solutions and serving these innovations to our clients and WPP agency partners.

About the Role

As a Lead Data Scientist, you will play a pivotal role in shaping the technical direction and delivery of our cutting-edge AI solutions. You will work alongside world-class talent, leading key initiatives in an environment that not only fosters innovation but also personal and professional growth.You will be at the forefront of AI, leveraging multimodal datasets to build groundbreaking solutions over a multi-year roadmap, mentoring junior and mid-level data scientists, and driving best practices.Your contributions will directly shape cutting-edge AI products and services that make a tangible impact for FTSE 100 clients.

Responsibilities

Lead the design, development, and deployment of state-of-the-art AI/ML solutions, leveraging advanced algorithms and libraries to solve complex, high impact problems for our clients.
Provide technical leadership and mentorship to a team of data scientists, fostering a culture of continuous learning, innovation, and excellence.
Collaborate strategically with Satalia and WPP Product teams to define, prioritize, and deliver advanced AI features for mark

WPP

3 days ago

Senior Data Scientist LLM [T500-20568]

ANSR is hiring for one of its clients.

About 4flow:

Tasks:

Fine-tune and optimize LLM and NLP models (e.g., GPT, BERT, T5, LLaMA) for real-world applications
Integrate LLMs into scalable, production-grade systems
Apply prompt engineering techniques to improve model performance and task alignment
Collaborate with ML engineers and

ANSR

4 days ago

Senior Data Scientist

Position: Senior Data Scientist

Experience Range: 3 to 5 yrs

Job Location: Bangalore

Work Mode: Hybrid (3 days in the office, 2 days remote)

About Anumana:

Anumana is a new AI-driven health technology company from nference, developing and delivering ECG algorithms enabling early diagnosis and intervention.

Job Summary :

We are seeking a highly skilled and motivated Machine Learning Data Scientist with 3 to 5 years of experience to join our dynamic team. The ideal candidate will have a strong background in training machine learning models using PyTorch and TensorFlow, with a focus on making models production-ready and evaluating them with quality metrics. Expertise in training Transformers and convolution-based large models is essential, and experience in signal processing and image processing will be a significant plus.

Key Responsibilities :

Model Training : Develop and train machine learning models using PyTorch and TensorFlow. Focus on large-scale models, including Transformers and convolution-based architectures.

Model Evaluation : Evaluate models using a range of quality metrics to ensure high performance and reliability.

Production Readiness : Work on making models production-re

Anumana

2 days ago

Senior Data Scientist

Senior Data Scientist

Location: Pune

Job Description:

We are seeking a visionary and execution oriented Senior Manager to lead customer centric projects focused on AI powered and Autonomous Network Solutions, spanning wireless (4G/5G), wireline (fiber, broadband), and Fixed Wireless Access (FWA) domains.
This role connects business strategy, technical innovation, and operational delivery, ensuring customer success through intelligent network transformation.
Key Responsibilities AI and Autonomous Network Solutions Lead e2e engagement for AI enabled, closed loop autonomous network solutions across wireless, wireline, and FWA technologies.
Translate customer requirements into delivery roadmaps featuring AI/ML models, LLM prompting, network self-healing, and predictive analytics.
Oversee deployment of automation use cases like alarm correlation, anomaly detection, traffic prediction, and zero touch optimization.
Sales Enablement and Solution Engineering Partner with sales, product, and pre sales engineering teams to design scalable, AI driven solutions for both wireless (4G/5G NSA/SA) and wireline networks (FTTx, xDSL, GPON, DOCSIS).
Create and present business cases and proof of concepts (PoCs) tailored to hybrid network environments, including FWA deployment strategies. Develop proposals that address customer pain points using AI driven KPI insights, RF/wi

Tata Communications Transformation Services (TCTS)

4 days ago

Data Scientist

Job: Data Scientist

Experience: 2 to 5 Years

Location: Bangalore

Commitment: Full-Time

Team: Risk & Analytics

Job Description:

Data Scientist preferably from financial services, large banks/MNCs.

Strong background in business analysis (consumer/business strategy, financial products, pricing,etc.) with very strong data analysis (Sql, excel, etc,) experience.
Strong understanding of how to structure analysis and to solve real world business problems.
Ability to identify key drivers of business and create KPIs /modeling solutions for the same,
Expertise in end-to-end model development and model lifecycle management (develop,deploy, monitor) is preferred.
Exposure/Experience in developing Machine Learning models using various algorithms (logistic/linear,Random Forest. Xgboost ,etc)
Hands on experience in R or Python is a must
Exposure to unstructured data analytics and big data handling is a plus.
Good business understanding of fintech/personal lending space is preferred.

Responsibilities

You'll work closely with the Product and Risk Team to:

Define, design, and deliver solutions using data science/analytics in fast paced environment.
Evaluate and apply machine learning algorithms to build variety of data science models particularly in credit risk/unsecured l

moneyview

Yesterday

Data Scientist Gen AI Engineer

🚀 Mega Walk-In Drive – Data Science, GenAI (5-12 Years) & MLOps Roles (3–12 Years Experience)

📍 Location: Kolkata

📅 Date: Saturday, 15th November

🕤 Time: 9:30 AM onwards

📧 Contact Person: Purbita Mondal – purbita.mondal@ltilmindtree.com

🔍 We’re Hiring For:

Data Scientists

GenAI Engineers

MLOps Engineers

Data Scientists with Gen AI:

✅ Mandatory Skills

Data Science, GenAI, Python, RAG

Cloud: Azure / AWS / GCP

AI/ML, NLP

🔸 Preferred Skills

LangChain, ChatGPT, Prompt Engineering

Vector Stores, LLaMA, PaLM, BERT, GPT, BLOOM

Deep Learning, OCR, Transformers

Regression, Forecasting, Classification

MLOps, Model Training, Deployment, Inference

CI/CD, Model Monitoring, Hyperparameter Tuning

Tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes

🧠 Ideal Candidate Profile

5–12 years of experience in Data Engineering, Data Science, AI/ML, or MLOps

Strong grasp of ML algorithms: GPTs, CNN, RNN, SVM, etc.

Experience with BI tools (Power BI, Tableau), data frameworks (Hadoop, PySpark)

Familiarity with TensorFlow, PyTorch, Keras, NumPy, Pandas

Experience with cloud-native development and deployment

Hands-on with NoSQL databases (MongoDB, Cassandra, HBase, Vector DBs)

Excellent communication and analytical skills

MLOPS:

LTIMindtree

5 days ago

Data Scientist - Adtech DSP ML-driven Audience Optimization

Data Scientist – Digital Advertising & Marketing Technology

Salary: $65,000 USD

Employment Type: Full-Time

About the Organization

We are a global technology team responsible for building and managing advanced advertising platforms that power large-scale digital marketing ecosystems. Our mission is to deliver data-driven solutions that optimize ad performance, enhance audience targeting, and enable seamless campaign execution across multiple channels. The team operates in a highly collaborative environment with members across several countries, working on cutting-edge technologies for high-traffic, low-latency systems and big data processing.

Role Overview

As a Data Scientist in our advertising technology division, you will design and implement machine learning models and optimization algorithms that drive ad delivery efficiency and maximize campaign outcomes. This role involves end-to-end ownership—from hypothesis formulation and feature engineering to deployment and continuous improvement in production environments.

Key Responsibilities

Define optimization problems for ad delivery and establish KPIs, metrics, and monitoring dashboards.
Perform data preprocessing, feature engineering, and model development for tasks such as price optimization, CTR/CVR prediction, and creative performance analysis.
Conduct offline evaluat

Huxley

5 days ago

Senior Data Scientist

Job Responsibilities

Analyze complex data sets to identify trends, patterns, and insights that can drive business decisions.
Design and develop predictive models, algorithms, machine learning, and artificial intelligence techniques to improve the accuracy and efficiency of analytics solutions
Collaborate with cross-functional teams to ensure the data used is accurate, relevant, and up-to-date for analytics purposes.
Contribute to hands-on development of data & analytics solutions.
Deliver products and solutions in a timely, proactive, and entrepreneurial manner.
Accelerate solution delivery using re-usable frameworks, prototypes and hackathons.
Follow MLOps principles to ensure scalability, repeatability, and automation in the end-to end machine learning lifecycle.
Developing and maintaining detailed technical documentation.
Stay up-to-date on industry trends and new technologies in data science and analytics, and apply this knowledge to improve the firm's analytics capabilities

Education, Technical Skills & Other Critical Requirement

0-5 years of relevant experience in AI/ analytics product & solution delivery
Bachelor’s/Master’s degree in an information technology/computer science/Statistics/ Economics or equivalent fields experience.
Strong understanding of Machine Learning and Deep Learning concepts, with

ValueMomentum

4 days ago

Data scientist

Are you a Data Scientist who thrives on building AI-driven solutions that impact the real world? We’re looking for a highly skilled and motivated professional to join our team and help shape the future of skill assessment, job matching, and intelligent recommendations through cutting-edge machine learning.

What You’ll Do

As a Data Scientist, you’ll wear multiple hats and play a key role in advancing our AI-powered platform:

Predictive Model Developer – Design, develop, and deploy predictive models to power skill assessment and job matching. Continuously evaluate and improve performance using appropriate ML metrics.
Data Modelling Expert – Build and maintain robust data models and schemas for large-scale datasets. Collaborate with data engineers to ensure consistency, scalability, and accessibility.
Embedding Specialist – Develop embeddings for skills, jobs, and user profiles to drive recommendations and similarity analysis. Experiment with models and integrate into search/recommendation pipelines.
Model Trainer – Train, validate, and fine-tune ML models on diverse datasets. Address imbalanced data, mitigate bias, and monitor production performance.
Statistical Analyst – Apply advanced statistical techniques (e.g., K-Means, Cosine Similarity ) for insights, anomaly detection, and product development. Deliver findings via

Entrustech

4 days ago

Senior Data Scientist

Who we are?

Kaleidofin is a fintech focused on the mission to build a digital ecosystem ensuring finance for everyone, everywhere. We provide the ki credit platform, combining credit health assessment (ki score), middleware rails and best-in-class risk management (ki view) to enable the financial ecosystem to serve customers better. Via credit health scores for impactful finance and innovative debt structures to scale, Kaleidofin is driving towards its goal to unlock access to tailored finance for women, agri and nano entrepreneurs – in India, Bangladesh and East Africa and expanding. The platform has unlocked debt capital of cumulatively more than USD 3 billion for more than 5 million customers and small enterprises working in the informal economy.

Over the years, Kaleidofin has raised capital of USD 42 million from marquee investors, including Rabo Partnerships, the Bill & Melinda Gates Foundation, the Michael & Susan Dell Foundation, Oiko Credit, Flourish, Omidyar Network, Blume Ventures, Bharat Fund and IDH Farm fit Fund who share our commitment to financial inclusion and impact.

Kaleidofin has received exceptional international recognition in being featured as one of only six Indian companies on the Forbes 100 To Watch in Asia list and in being selected to present at the United Nations General Assembly Special Task Force.The company won the Amazon AI Conclave award for Fintech, was one of only ten startups chosen

Kaleidofin Private Limited

5 days ago

Senior Data Scientist [T500-21271]

About Albertsons Companies Inc. :

About Albertsons Companies India:

At the Albertsons Companies India, we are raising th

Albertsons Companies India

Yesterday

Senior Manager, Data Scientist and Machine Learning Engineer

POSITION SUMMARY:

We are seeking a highly skilled and motivated individual contributor to join our Data Science and Analytics team as a Senior Manager based in India. This hands-on role requires deep expertise in SAS programming, with a strong focus on statistical modeling to support our mortgage and consumer lending businesses. The ideal candidate will be able to contribute immediately by developing and maintaining complex SAS models and collaborating with cross-functional teams to deliver data-driven insights. In addition to advanced SAS programming skills, the candidate should possess a working knowledge of Python to support broader analytics, process automation, and data engineering initiatives.

JOB FUNCTIONS AND RESPONSIBILITIES

Design, develop, and maintain statistical and machine learning models using advanced SAS programming.
Build and optimize SAS-based reports and data pipelines to support business operations and decision-making.
Streamline and automate existing modeling, reporting, ETL processes to improve efficiency, scalability, and accuracy.
Analyze model performance and identify opportunities for improvement and optimization.
Collaborate with cross-functional teams (Marketing, Sales, Finance) to define analytical requirements and deliver actionable insights.
Support customer segmentation, campaig

Ocwen Financial Solutions Pvt. Ltd. - APAC

3 days ago

Data Scientist

Role Designation: Senior Analyst - Data Science

Job Location: Chennai

Minimum 4+years of Experience required.
Excellent analytical and problem-solving skills .
Experience using statistical computer languages (Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks.
Should be able to host the models and make them API convertible.
Good communication and presentation skills to explain your work to people who don't understand the mechanics behind data analysis.
Working on Cutting Edge AI solutions in partnership with best of business in the industry. Propose innovate solutions and adopt quickly to dynamic learning environment.
Build AI algorithms and design experiments to merge, manage, interrogate, and extract data to supply tailored reports to colleagues, customers, or the wider organization .
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Bring about Explainable and Responsible AI.
Infosys Finacle
4 days ago

Data Scientist

Dear all,

We are looking for highly motivated PhD freshers in Data Science, AI/ML, or related disciplines to join our team as AI/ML Research . This role is designed for individuals with a strong academic foundation and hands-on project experience , eager to apply their knowledge in real-world AI and Large Language Model (LLM) applications .

Key Responsibilities:

Research, design, and implement models in AI/ML/NLP , with a focus on Large Language Models (LLMs) .
Collaborate with cross-functional teams to integrate models into production or research pipelines.
Contribute to codebases and perform experiments using Python and relevant ML libraries.
Develop proof-of-concept (PoC) applications or tools based on self-designed research or side projects.

Required Qualifications:

PhD (completed) in Data Science, Computer Science, Artificial Intelligence, Machine Learning, or related fields.
Strong proficiency in Python and libraries such as NumPy, pandas, scikit-learn, PyTorch, or TensorFlow .
Practical understanding of foundational ML and deep learning techniques (e.g., regression, classification, transformers, etc.).
Experience with LLMs (e.g., GPT, BERT, LLaMA) – either academic research or side projects.
Demonstrated ability to build end-to-end AI/ML/NLP

Maxis AI

3 days ago

Data Scientist

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You.

Job Description

Job Title: Data Scientist

Location: Bengaluru

Reporting to: Senior Manager - Analytics

1. PURPOSE OF ROLE

The Data Scientist will play a key role in designing and delivering data-driven solutions that enable better decision-making across the organization. This role requires strong hands-on coding skills in Python, experience with core data science libraries, and the ability to statistically vali

AB InBev GCC India

4 days ago

Senior Data Scientist & Agentic AI

Experience : 5 years

Notice Period : Immediate joiner

Job Location : Bangalore (Hybrid)

Job Description:

Key Responsibilities

Core Modeling & Algorithmic Work

Develop and optimize models for classification, regression, clustering, forecasting, and recommendation systems .
Use a range of algorithms such as:
Regression Models: Linear, Ridge, Lasso, ElasticNet, Quantile, Poisson, etc.
Classification Models: Logistic Regression, Decision Trees, Random Forests, XGBoost, LightGBM, SVM, Neural Networks, etc.
Unsupervised Learning: K-Means, DBSCAN, Hierarchical clustering, PCA, t-SNE, Autoencoders.
Time Series & Forecasting: ARIMA, SARIMA, Prophet, LSTM, and hybrid models.
Recommendation Systems: Collaborative filtering, Matrix factorization, Content-based and hybrid approaches.

Evaluation Metrics & Model Assessment

Select appropriate evaluation metrics based on business goals and problem types:
Classification: Accuracy, Precision, Recall, F1-score, ROC-AUC, PR-AUC, Log Loss, Cohen's Kappa, Matthews Correlation Coefficient.
Regression: RMSE, MAE, R2, Adjusted R2, MAPE, SMAPE.
Ranking/Recommenders: NDCG, MAP@K, Recall@K, Hit Rate.
Clustering: Silhoue

CirrusLabs

3 days ago

Data Scientist

Company Description

RSA America LLC is a leading provider of cutting-edge retail technology tailored for independent grocers. Founded in 2014, the company helps grocers compete with larger chains by delivering innovative solutions that foster digital customer interactions and enhance retailer engagement. RSA’s unified platform leverages AI to provide actionable insights, enabling grocers to analyze, target, and engage customers effectively. By offering personalized, customer-centric experiences, RSA empowers retailers to drive shopper engagement, adapt to market trends, and boost profits while addressing the unique needs of stores of all sizes.

Role Description

This is a full-time, on-site role based in Hyderabad for a Data Scientist. The Data Scientist will analyze complex datasets, develop predictive and descriptive models, and contribute to data-driven decision-making. Tasks include statistical analysis, data visualization, building machine learning models, and deriving insights to enhance customer engagement and optimize retail solutions. This role also involves close collaboration with cross-functional teams to address business challenges using advanced analytics.

Qualifications

Proficiency in Data Science, Data Analysis, and Statistics
Strong data warehousing skills
Experience with Data Analytics and Data Visualization tools
Strong problem-solving and criti

RSA America LLC

3 days ago

Lead Data Scientist

About the Company : We are a forward-thinking organization dedicated to leveraging cutting-edge technology to drive innovation and efficiency in our industry.

About the Role : We are seeking an enthusiastic AI/ML Engineer to join our team, focusing on developing intelligent systems that utilize both traditional machine learning and advanced Generative AI. The position requires practical experience with image classification models and strong skills in exploratory data analysis (EDA) to support model development and evaluation.

Responsibilities :

ML Model Development
Design and optimize models for image classification, anomaly detection, and predictive analytics.
Utilize transfer learning and fine-tuning techniques with architectures like CNNs, ResNet, or EfficientNet.
Assess model performance using metrics such as precision, recall, F1-score, ROC-AUC, and confusion matrices.
Generative AI Applications
Develop and implement GenAI features using LLMs (e.g., GPT, Claude, Mistral) for enterprise solutions.
Apply prompt engineering, RAG pipelines, and embedding-based search systems.
Collaborate on agentic workflows and multi-modal GenAI projects.
Exploratory Data Analysis (EDA)
Conduct thorough EDA to identify patterns, outliers, and feature re

ValueLabs

3 days ago

Senior Data Scientist - NLP

We’re Hiring: Senior Data Scientist – NLP

Company: NUVO AI (Meril Group)

Location: Vapi, Gujarat

Mode: On-Site

Experience: 5+ Years in Data Science/ML Engineering ( Minimum 3 years tenure in most recent organization in a relevant data science/ML role)

Senior-level data scientist role focused on building and deploying production NLP systems on bare metal infrastructure. This position requires a research-oriented mindset with the ability to build first-in-class products by translating cutting-edge research into innovative production solutions.

If you enjoy solving deep technical problems and pushing innovation—this role is for you.

What You’ll Work On

Build and deploy production-grade NLP systems using transformer models
Implement RAG pipelines , embeddings, semantic search
Manage and optimize bare-metal GPU servers , CUDA, and multi-GPU setups
Design and optimize large-scale SQL pipelines
Deploy and scale models via TorchServe/FastAPI/BentoML
Drive MLOps : MLflow, W&B, monitoring, automated retraining
Lead ML architecture, research-to-production pipelines, and cross-functional collaboration

Required Skills

Meril

2 days ago

Senior Data Scientist [T500-21030]

About Albertsons Companies Inc.:

About Albertsons Companies India:

At the Albertsons Companies India, we are rai

Albertsons Companies India

4 days ago

Senior Data Scientist

Job Summary:

As a part of the data science team of C5i, we are looking for an experienced and strategic Senior Data Scientist to join our high-impact analytics team in the. This position will require you to work on the development of Resource Allocation Model that directly influences how we allocate marketing & media budgets, drive consumer demand, and enhance company’s performance.

This is a hands-on technical role requiring deep expertise in data science, machine learning, and business acumen to solve complex problems in a fast-paced, consumer-centric environment.

Job Responsibilities:

Develop, validate, and scale Resource Allocation Model to quantify the impact of Sales & Marketing packages on sales and brand performance.
Implement optimization algorithms to inform budget allocation and maximize marketing ROI across geographies and product portfolios.
Lead the development of predictive and prescriptive models to support commercial, trade, and brand teams.
Leverage PySpark to manage and transform large-scale retail, media, and consumer datasets.
Build and deploy ML models using Python and TensorFlow , ensuring robust model performance and business relevance.
Collaborate with marketing, category, and commercial stakeholders to embed insights into strategic decisions.
Use GitHub Actions

C5i

5 days ago

Data Scientist

Bangalore

Data Scientist

Microsoft Azure;

PySpark;

Python;

TensorFlow; YOLO

artificial intelligence;

cloud computing;

cloud providers; computer science;

data analysis; data management;

data processing;

data science;

deep learning;

deep learning tools;

exploratory data analysis;

information technology;

machine learning;

mathematics;

public cloud;

python data science;

science & research; statistical analysis;

statistics; technology| Data Scientist

Ubique Systems

4 days ago

Data Scientist

Job Title: Senior Data Scientist (Remote – India) – Predictive Modeling & Machine Learning

Location: Remote (India)

Job Type: Full-time

Experience: 5+ Years

Job Summary:

We are looking for a highly skilled Senior Data Scientist to join our India-based team in a remote capacity. This role focuses on building and deploying advanced predictive models to influence key business decisions. The ideal candidate should have strong experience in machine learning, data engineering, and working in cloud environments, particularly with AWS.

You'll be collaborating closely with cross-functional teams to design, develop, and deploy cutting-edge ML models using tools like SageMaker, Bedrock, PyTorch, TensorFlow, Jupyter Notebooks, and AWS Glue. This is a fantastic opportunity to work on impactful AI/ML solutions within a dynamic and innovative team.

Key Responsibilities:

Predictive Modeling & Machine Learning

• Develop and deploy machine learning models for forecasting, optimization, and predictive analytics.

• Use tools such as AWS SageMaker, Bedrock, LLMs, TensorFlow, and PyTorch for model training and deployment.

• Perform model validation, tuning, and performance monitoring.

• Deliver actionable insights from complex datasets to support strategic decision-making.

Data Engineering & Cloud Computing

Qubryx

Yesterday

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