Find Your Dream Data Scientist Job in India

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

We are looking for a Senior AI/Data Scientist with 3-5 years of experience who is passionate about

building AI and machine learning solutions for real-world business problems.

As part of our AI team, you will design, develop and deploy advanced machine learning models,

Generative AI applications and AI-powered decision systems. You will work with structured and

unstructured data, develop predictive models, AI-driven insights and business-aware

Generative AI agents that enhance productivity and decision-making.

Key Responsibilities

• Build Gen AI-enabled solutions using online and offline LLMs, SLMs and TLMs tailored to

domain-specific problems.

• Deploy agentic AI workflows and use cases using frameworks like LangGraph, Crew AI etc.

• Apply NLP, predictive modelling and optimization techniques to develop scalable machine

learning solutions.

• Integrate enterprise knowledge bases using Vector Databases and Retrieval Augmented

Generation (RAG).

• Apply advanced analytics to address complex challenges in Healthcare, BFSI and

Manufacturing domains.

• Deliver embedded analytics within business systems to drive real-time operational insights.

Required Skills & Experience

• 3-5 years of experience in applied Data Science or AI roles.

• Experience working in any one of the following domains: BFSI, Healthcare/Health Sciences,

Manufacturing or Utilities.

• Proficiency in Python, with hands-on experience in libraries such as scikit-learn, TensorFlow

• Practical experience with Gen AI (LLMs, RAG, vector databases), NLP and building scalable

ML solutions.

• Experience with time series forecasting, A/B testing, Bayesian methods and hypothesis

testing.

• Strong skills in working with structured and unstructured data, including advanced feature

engineering.

• Familiarity with analytics maturity models and the development of Analytics Centre of

Excellence (CoE's).

• Exposure to cloud-based ML platforms like Azure ML, AWS SageMaker or Google Vertex AI.

• Data visualization using Matplotlib, Seaborn, Plotly; experience with Power BI is a plus.

What We Look for (Values & Behaviours)

• AI-First Thinking - Passion for leveraging AI to solve business problems.

• Data-Driven Mindset - Ability to extract meaningful insights from complex data.

• Collaboration & Agility - Comfortable working in cross-functional teams with a fast-paced

mindset.

• Problem-Solving - Think beyond the obvious to unlock AI-driven opportunities.

• Business Impact - Focus on measurable outcomes and real-world adoption of AI.

• Continuous Learning - Stay updated with the latest AI trends, research and best practices.

Why Join Us?

• Work on cutting-edge AI & GenAI projects.

• Be part of a high-Caliber AI team solving complex business challenges.

• Exposure to global enterprises and AI-driven decision-making.

• Competitive compensation and fast-track career growth in AI.

• Get mentored by best-in-class AI leaders who will help shape you into a top AI professional

JOB RESPONSIBILITIES:

• Accountable for multiple projects/ongoing work activities (timelines, work plans, deliverables) of moderate complexity within a Work Team
• Accountable for their assigned work supporting the standards/study deliverables and also to assist SDSL's with the team assignments.
• Review/Develop/Validate/Review datasets, TFL as per CDISC aligned Standards or Data Standards for Study/Project/Portfolio. (Portfolio)
• Contributes to upto 80% of their time to programming deliverables assigned within the scope of the function in either SAS, R or Python and 20% to self learning, development and growth.
• Explore the existing code base and execute/perform runs as required, also develop/modify as per the needs and specifications suggested to the standards team as appropriate - (Standards Programming)
• Ensures appropriate documentation and QC across the lifespan of the study for all of their programming deliverables across Standards, Programming and Submissions.
• Understand/Implement standard/study/project/portfolio requirements and specification and work with global stakeholders in ensuring completion of project/study/deliverable goals and milestones
• Knowledgeable in core safety standards as well as TA standards pertinent to their project and lead development of standards necessary for their study
• Exhibits routine and occasionally complex problem solving skills, seeking direction when appropriate.
• Regularly update leads on progress and time estimations to ensure smooth daily operations and accurate planning
• Support in accomplishing department and organization mission by completing assigned tasks
• Acts as mentor to junior team members
• Advances job knowledge to next level by participating/contributing in/to opportunities both globally and locally.

QUALIFICATIONS / SKILLS:

• Bachelor or Master (preferred) Degree in Statistics, Computer Sciences, Engineering, Pharmacy, biological sciences, IT, or related field.
• At least 5 - 6 years relevant experience in a pharmaceutical, biotech, CRO, or Regulatory Agency.
• Understanding of clinical data and drug development process, CDISC standards required
• Statistical Programming and SAS hand-on experience
• Clinical trials expertise with an understanding of data operations required for the reporting of clinical
• Good understanding of ICH and regulatory guidelines
• Working knowledge of clinical data and relevant data standards
• Is able to work with stakeholders across timezones under tight timelines
• Strong written and oral communication skills, and time and project management skills
• Strong competencies and interests for innovation and problem solving
• Proven ability to operate with limited oversight
• Knowledge of at least 1 Therapeutic Area

Responsibilities:

• Overall 4+ years of experience, out of which in 3+ in AI, ML and Gen AI and related technologies
• Proven track record of leading and scaling AI/ML teams and initiatives.
• Strong understanding and hands-on experience in AI, ML, Deep Learning, and Generative AI concepts and applications.
• Expertise in ML frameworks such as PyTorch and/or TensorFlow
• Experience with ONNX runtime, model optimization and hyperparameter tuning.
• Solid Experience of DevOps, SDLC, CI/CD, and MLOps practices - DevOps/MLOps Tech Stack: Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, ELK stack
• Experience in production-level deployment of AI models at enterprise scale.
• Proficiency in data preprocessing, feature engineering, and large-scale data handling.
• Expertise in image and video processing, object detection, image segmentation, and related CV tasks.
• Proficiency in text analysis, sentiment analysis, language modeling, and other NLP applications.
• Experience with speech recognition, audio classification, and general signal processing techniques.
• Experience with RAG, VectorDB, GraphDB and Knowledge Graphs
• Extensive experience with major cloud platforms (AWS, Azure, GCP) for AI/ML deployments. Proficiency in using and integrating cloud-based AI services and tools (e.g., AWS SageMaker, Azure ML, Google Cloud AI).

Required Skills:

• Strong leadership and team management skills.
• Excellent verbal and written communication skills.
• Strategic thinking and problem-solving abilities.
• Adaptability and adapting to the rapidly evolving AI/ML landscape.
• Strong collaboration and interpersonal skills.
• Ability to translate market needs into technological solutions.
• Strong understanding of industry dynamics and ability to translate market needs into technological solutions.
• Demonstrated ability to foster a culture of innovation and creative problem-solving.

About Zupee

We are the biggest online gaming company with largest market share in the Indian gaming sector's largest segment - Casual & Boardgame. We make skill-based games that spark joy in the everyday lives of people by engaging, entertaining, and enabling earning while at play.

In the three plus years of existence, Zupee has been on a mission to improve people's lives by boosting their learning ability, skills, and cognitive aptitude through scientifically designed gaming experiences. Zupee presents a timeout from the stressful environments we live in today and sparks joy in the lives of people through its games.

Zupee invests in people and bets on creating excellent user experiences to drive phenomenal growth. We have been running profitable at EBT level since Q3, 2020 while closing Series B funding at $102 million, at a valuation of $600 million. Zupee is all set to transform from a fast-growing startup to a firm contender for the biggest gaming studio in India.

About The Job

Role: Lead Data Scientist

Reports to: Data Science Manager

Location: Gurgaon

Responsibilities:

- Responsible for designing, developing, testing and deploying ML models that can leverage multiple signal sources, to build a personalized user experience.

- Work closely with the business stakeholders to identify the potential Data science applications.

- Contribute by doing opportunity analysis, building project proposals, designing and implementation of ML projects, in the areas of Ranking, Embeddings, Recommendation engines etc.

- Collaborate with software engineering teams to design experiments, model implementations and new feature creation.

- Clearly communicate technical details, strategies, and outcomes to a business audience.

Requirements:

- 7+ years of hands-on experience in data science using techniques including but not limited to regression, classification, NLP etc.

- Previous experience in model deployment, model monitoring, optimization and model interpretability.

- Expertise with Random forests, Gradient boosting, KNN, Regression and unsupervised learning algorithms

- Experience in using Neural Networks like ANN, RNN, Reinforcement Learning or Deep Learning etc.

- Solid understanding of Python and common machine learning frameworks such as XG Boost, scikit-learn, PyTorch / TensorFlow.

- Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically.

- Technology-driven mindset, up to date with digital and technology literature, trends

- S/he must have knowledge of Experimentation and Basic Statistics

- S/he must have experience in Predictive Analytics.

Lead Data Scientist

Job Description: Lead Data Scientist

Location: Chennai

Type: Full-Time

Reports to: CEO

Company Overview:

Avivo is a cutting-edge technology startup specializing in developing innovative technology products and professional services, with a strong focus on contract intelligence and contract management. Leveraging thepower of Generative AI and Natural Language Processing (NLP), we aim to revolutionize how organizations handle and manage their contracts, making processes more efficient, compliant, and insightful.

Position Overview:

We are seeking a highly skilled and experienced Lead Data Scientist to join our dynamic team. The ideal candidate will possess extensive knowledge in data science, deep learning, and natural language processing (NLP), with a solid educational background in data science, mathematics, and statistics. A strong understanding of generative AI and hands-on experience in leading teams is highly desirable. This role requires proficiency in the end-to-end machine learning lifecycle, including data collection, model training, evaluation, and deployment. Knowledge of cloud platforms such as AWS or Azure, experience with Flask, and strong proficiency in Python are essential. The candidate should have 10+ years of relevant experience.

Key Responsibilities:

• Lead and mentor a team of data scientists and machine learning engineers.
• Design, develop, and implement data science and machine learning solutions to solve complex business problems.
• Utilize deep learning and NLP techniques to extract insights from large datasets.
• Oversee the entire machine learning lifecycle, from data collection and preprocessing to model training, evaluation, and deployment.
• Collaborate with cross-functional teams to integrate machine learning models into production environments.
• Stay up-to-date with the latest advancements in data science, AI, and generative AI technologies.
• Ensure the scalability, reliability, and performance of machine learning models and systems.
• Develop and maintain documentation for data science processes, models, and algorithms.
• Provide technical leadership and guidance in the adoption of best practices for data science and machine learning.

Required Qualifications:

• Master's or PhD in Data Science, Mathematics, Statistics, Computer Science, or a related field.
• 8+ years of experience in data science, with a focus on deep learning and NLP.
• Proven experience in leading and managing data science teams.
• Strong proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, and scikit-learn.
• Hands-on experience with cloud platforms such as AWS or Azure.
• Knowledge of Flask or similar web frameworks.
• Experience with generative AI technologies is a plus.
• Solid understanding of statistical methods and mathematical concepts.
• Strong problem-solving skills and the ability to work in a fast-paced environment.
• Excellent communication and interpersonal skills.

Preferred Qualifications:

• Experience with big data technologies such as Hadoop, Spark, or similar.
• Knowledge of software development practices, version control (Git), and agile methodologies.
• Familiarity with data visualization tools and techniques.

Benefits:

• Competitive salary and performance-based bonuses.
• Flexible work hours and remote work options.
• Professional development opportunities and continuing education support.
• Collaborative and inclusive work environment.

Job Title : Associate Principal - Data Scientist

India Locations: Hyderabad

NP : Immediate to 30 days

• Skills : Python, Model building,
• Mandatory : Minimum 4+ years of experience in the Banking and Financial services industry

Who we are

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.

We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the 'Best' and 'Fastest Growing' analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine

Curious about the role? What your typical day would look like?

Your work is a combination of hands-on contribution to Loreum Ipsum, Loreum Ipsum, etc. More specifically, this will involve:

• Lead and contribute to developing sophisticated machine learning models, predictive analytics, and statistical analyses to solve complex business problems.
• Demonstrate proficiency in programming languages such as Python or R, with the ability to write clean, efficient, and maintainable code. Experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is essential.
• Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets, and derive actionable insights that lead to impactful outcomes.
• Work closely with clients to understand their business objectives, identify opportunities for analytics-driven solutions, and communicate findings clearly and promptly.
• Take ownership of end-to-end model development, from problem definition and data exploration to model training, validation, and deployment.
• Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate analytics solutions into business processes.
• Leverage a profound understanding of mathematical and statistical principles to guide developing and validating advanced data science models.
• Stay abreast of industry trends, emerging technologies, and best practices in data science, bringing innovative ideas to the team and contributing to continuous improvement.

Desired Skills and Experience:

• 10+ years of total DS and model development experience
• Mandatory : Minimum 4+ years of experience in the Banking and Financial services industry
• A passion for writing high-quality code (Python), and the code should be modular, scalable, and end-end project execution while planning an active hands-on role
• Having good problem-solving skills is essential, and it is equally important to have in-depth knowledge to solve complex problems effectively.
• Comprehensive knowledge of the regression and classification concepts and mathematical backend along with SQL
• Encourage collaboration with various stakeholders and take complete ownership of deliverables.
• Adept understanding of various data science approaches, machine learning algorithms, and statistical methods.
• Excellent communication skills with presentability, articulation, storytelling capability, and ability to manage complex client situations
• Effective mentoring of a team with expertise in industry/domain/functional areas

You are important to us, let's stay connected!

Every individual comes with a different set of skills and qualities so even if you don't tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.

Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.

Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities

UniAthena is an ed-tech, offering free-learning upskilling courses and Self-Paced Academic Programs in collaboration with European Universities and Awarding Bodies. Over 2.5 Million learners from across 150 countries are pursuing their upskilling journey on the 100% Online, self-paced and 100% automated learning platform.

Job Requirement :

• 3-5 Years of experience in Data Science
• Strong expertise in statistical modeling, machine learning, deep learning, data warehousing, ETL, and reporting tools.
• Bachelors/Masters in Data Science, Statistics, Computer Science, Business Intelligence,
• Experience with relevant programming languages and tools such as Python, R, SQL, Spark, Tableau, Power BI.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
• Ability to think strategically and translate data insights into actionable business recommendations.
• Excellent problem-solving and analytical skills
• Adability and openesss towards changing environment and nature of work
• This is a startup environment with evolving systems and procedures, the ideal candidate will be comfortable working in a fast-paced, dynamic environment and will have a strong desire to make a significant impact on the business.

Job Roles & Responsibilities:

• Conduct in-depth analysis of large-scale datasets to uncover insights and trends.
• Build and deploy predictive and prescriptive machine learning models for various applications.
• Design and execute A/B tests to evaluate the effectiveness of different strategies.
• Collaborate with product managers, engineers, and other stakeholders to drive data-driven decision-making.
• Stay up-to-date with the latest advancements in data science and machine learning.

The Role:

We are looking for an enthusiastic Staff Data Scientist to join our growing team. The hire will be responsible for working in collaboration with other data scientists and engineers across the organization to develop production-quality models for a variety of problems across Razorpay. Some possible problems include : making recommendations to merchants from Razorpay's suite of products, cost optimization of transactions for merchants, automatic address disambiguation / correction to enable tracking customer purchases using advanced natural language processing techniques.

As part of the DS you'll work with some of the smartest engineers/architects/data scientists in the industry and have the opportunity to solve complex and critical problems for Razorpay.

Responsibilities:

1. Lead the data science team, providing guidance, mentorship, and technical expertise to drive impactful outcomes.
2. Apply advanced data science methodologies, mathematics, and machine learning techniques to solve intricate and strategic business problems.
3. Collaborate closely with cross-functional teams, including engineers, product managers, and business stakeholders, to develop and deploy robust data science solutions.
4. Conduct in-depth analysis of large and complex datasets to extract valuable insights and drive actionable recommendations.
5. Present findings, insights, and strategic recommendations to senior stakeholders in a clear and concise manner.
6. Identify key metrics and develop executive-level dashboards to monitor performance and support data-driven decision-making.
7. Oversee multiple projects concurrently, ensuring high-quality deliverables within defined timelines.
8. Train and mentor junior data scientists, fostering their professional growth and fostering a collaborative and innovative team environment.
9. Continuously improve and optimize data science solutions, evaluating their effectiveness and exploring new methodologies and technologies.
10. Drive the deployment of data-driven solutions into production, ensuring seamless integration and effective communication of results.

Mandatory Qualifications:

1. 8+ years experience in a data science role, with a track record of delivering impactful solutions in a production environment.
2. Advanced degree (Master's or Ph.D.) in a quantitative field, such as Computer Science, Statistics, Mathematics, or related disciplines.
3. Deep knowledge and expertise in advanced machine learning techniques, statistical analysis, and mathematical modeling.
4. Proficiency in programming languages such as Python, R, or Scala, with experience in building scalable and efficient data science workflows.
5. Deep experience with big data processing frameworks (e.g., Hadoop, Spark) and deep learning frameworks (e.g., TensorFlow, PyTorch).
6. Strong leadership skills, with the ability to guide and inspire a team, prioritize tasks, and meet project goals.
7. Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical stakeholders.
8. Proven experience in driving data-driven decision-making processes and influencing strategic initiatives.
9. Deep experience with cloud platforms (e.g., AWS, Azure, GCP) and their data science tools and services.
10. A passion for staying up-to-date with the latest advancements in data science and actively exploring new techniques and technologies.

You will lead the development of predictive machine learning models for Revenue Cycle Management analytics, along the lines of:

1 Payer Propensity Modeling - predicting payer behavior and reimbursement likelihood

2 Claim Denials Prediction - identifying high-risk claims before submission

3 Payment Amount Prediction - forecasting expected reimbursement amounts

4 Cash Flow Forecasting - predicting revenue timing and patterns

5 Patient-Related Models - enhancing patient financial experience and outcomes

6 Claim Processing Time Prediction - optimizing workflow and resource allocation

Additionally, we will work on emerging areas and integration opportunities-for example, denial prediction + appeal success probability or prior authorization prediction + approval likelihood models. You will reimagine how providers, patients, and payors interact within the healthcare ecosystem through intelligent automation and predictive insights, ensuring that providers can focus on delivering the highest quality patient care.

VHT Technical Environment

1 Cloud Platform: AWS (SageMaker, S3, Redshift, EC2)

2 Development Tools: Jupyter Notebooks, Git, Docker

3 Programming: Python, SQL, R (optional)

4 ML/AI Stack: Scikit-learn, TensorFlow/PyTorch, MLflow, Airflow

5 Data Processing: Spark, Pandas, NumPy

6 Visualization: Matplotlib, Seaborn, Plotly, Tableau

Founded in the year 2017, CoffeeBeans specializes in offering high end consulting services in technology, product, and processes. We help our clients attain significant improvement in quality of delivery through impactful product launches, process simplification, and help build competencies that drive business outcomes across industries. The company uses new-age technologies to help its clients build superior products and realize better customer value. We also offer data-driven solutions and AI-based products for businesses operating in a wide range of product categories and service domains.We are seeking a highly skilled Data Scientist with a strong background in building AI-powered products using Large Language Models (LLMs) such as OpenAI's GPT models, Llama, etc. In this role, you will leverage your expertise in deep learning, machine learning, and natural language processing (NLP) to develop and optimize scalable, innovative solutions for complex problems.

Key Responsibilities:

• Analyze and interpret complex data sets using Python and SQL, providing insights that influence business decisions.
• Design, implement, and maintain deep learning pipelines to build and optimize AI-powered products.
• Collaborate with cross-functional teams to define data science needs, establish strategies, and develop scalable solutions using state-of-the-art LLMs.
• Fine-tune and adapt LLMs to solve domain-specific problems, continually improving model performance and accuracy.
• Conduct advanced research, experimentation, and iteration on LLM architectures, performance metrics, and deployment strategies.
• Stay abreast of the latest developments in AI, machine learning, NLP, and LLM research, applying cutting-edge techniques to business challenges.

Required Qualifications:

• Education: Bachelor's degree in Computer Science, Data Science, or a related field from a top-tier institution (e.g., IIT).
• Skills & Tools:
• Strong proficiency in Python and SQL for data analysis, model development, and automation.
• Hands-on experience working with open source LLMs.
• Deep understanding of machine learning principles, natural language processing (NLP), and AI technologies.
• Proven ability to develop, fine-tune, and deploy AI-powered products using LLMs.
• Experience:
• 8-10+ years of experience in data science roles, with a focus on AI, machine learning, and large language models.
• Demonstrated track record of developing and deploying products powered by machine learning and AI.

Preferred Skills:

• Familiarity with cloud-based AI services like AWS SageMaker, Google AI Platform, or Azure Machine Learning.
• Experience with MLOps tools such as MLflow, Kubeflow, or Airflow to streamline and scale machine learning workflows.
• Knowledge of deep learning frameworks like TensorFlow or PyTorch.
• Familiarity with model evaluation metrics and techniques to ensure continuous improvement and performance optimization.

The Mission That Moves Us:

Tensor Planet is on a mission to keep heavy-duty fleets rolling. Our AI-driven platform combines telematics, sensor feeds and repair logs to predict failures before they happen.

Our predictive maintenance product blends cutting-edge AI: time-series models, anomaly detection algorithms, and LLM-powered diagnostic copilots with actionable recommendations.

What You Will Do:

• Shape the data science practice: Lead our ML roadmap and drive outcomes to improve uptime and minimize false positive alerts.
• Engineer robust pipelines: Design ETL pipelines to ingest terabytes of IOT data from diverse vehicle systems. Collaborate with engineering to productionize models.
• Innovate with ML and Generative AI: Build ML algorithms and LLM-based conversational intelligence to power copilots for fleet managers and vehicle technicians.
• Embed domain expertise: Translate vehicle mechanics knowledge into high-value features. Partner with product teams to ground models in real-world behavior.
• Mentor a high-performing team: Grow and coach a data science team. Establish best practices for model monitoring, explainability, and reproducibility.

Challenges You Will Tackle:

• Sensor Fusion Complexity: Integrating high-frequency CAN-bus streams with third-party IoT feeds, historical maintenance logs and real-world context.
• Scale & Latency: Delivering real-time predictions across hundreds of vehicles with minimal false positives.
• Regulatory & Safety Constraints: Ensuring models comply with industry standards and support safety-critical decision-making.

Who You Are:

• Experience: 7+ years in data science with at least 3 years in vehicle telematics, Industrial IoT, or automotive diagnostics.
• Technical Skills: Expert in Python, ML, SQL/NoSQL and data streaming platforms, deployment workflows - containerization, CI/CD, model tracking and observability.
• Vehicle Expertise: Deep familiarity with CAN-bus protocols (J1939, OBD-II), telematics standards, and core vehicle systems like engine, transmission, and exhaust.
• Leadership & Communication: Proven track record mentoring teams, delivering production ML models, and translating technical concepts to non-technical stakeholders.
• Startup DNA: You thrive on ambiguity, unafraid to roll up your sleeves, experiment boldly and celebrate learning from failed runs .

What's In It For You:

• Ownership & Impact: Lead data science teams; your work will directly power multimillion-dollar savings for customers.
• Work at the AI Frontier: Innovate with LLMs and real-time ML pushing the boundaries of what's possible with AI, while making it useful and understandable.
• Compensation & Incentives: Benefit from competitive salaries and ESOPs.

Who We Are:

Tensor Planet is a fast-growing startup backed by a venture accelerator operating in a $20 billion market. We're running live pilots with waste haulers across the US to help slash vehicle breakdowns by 50%, lower repair costs by 30% and extend fleet life by 25%.

What's Our Culture:

We dream big, move with urgency, learn from failures, and thrive on collaboration. We value transparency, curiosity and the right attitude.

Tensor Planet is an equal-opportunity employer building a team as diverse as the fleets we serve.

Come Join Our Team!

If you're passionate about keeping fleets on the road and have fun doing it, join us now. Be a part of our growth story and scale with us. Drop us a note at .

Skills : Forecasting, Predictions and Optimization Strong Python, IDR algorithm, AWS,GCP, Microsoft Azure, Identity Resolution, Base SAS, OpenAI, Google PaLM, and LLaMA

• Work location - Pune
• Mode of Work - 5 Days Work From Office
• Education : B.E/ B.Tech/ MCA/MSC/ Any Technical Degree
• Experience: 13-17 Years

JD :

• Managing and leading across-functional team to Implementan advanced partial deterministic algorithm (IDR) for offline and online identifiers, reducing cloud data processing.
• Churn Analysis
• predictive model
• Customer Data Platform
• Built Marketing Mix Models
• Search Engine Optimization
• Able to understand and interact with Business, Problem solving statements

About the Company:

Brakes India is at the forefront of leveraging AI-driven analytics in manufacturing. We are setting up an Advanced Analytics team to drive data-driven decision-making across the organization.

About the Role:

We are looking for an experienced Senior Data Scientist who will be part of this new Center of Excellence (CoE) and help build a high-performing analytics team. In this role, you will leverage your expertise in data analysis, machine learning, and artificial intelligence to drive insights and develop innovative solutions. You will collaborate with business SMEs and other IT divisions to identify business challenges and implement data-driven strategies that enhance our products and processes, and helps grow our business.

Responsibilities:

• The Senior Data Scientist will
• Collect, clean, and analyze large datasets to extract meaningful insights. Utilize statistical methods to interpret data and identify trends.
• Design, develop, and implement machine learning models and algorithms tailored to specific business needs. Optimize models for performance and accuracy.
• Work closely with stakeholders to define project goals and deliver actionable insights.
• Stay up-to-date with the latest Al/ML trends, tools, and technologies. Experiment with new approaches to enhance our data science capabilities.
• Present findings and recommendations to both technical and non-technical audiences.
• Prepare clear documentation for methodologies and results.
• Develop metrics to assess the effectiveness of models and solutions. Continuously monitor and improve model performance.
• Lead the CoE to meet its stated objectives for formulating policies, standards, ethics, tools, technology stack and procedures around the use of AI and ML in the organization, among others.
• Mentor data scientists and support in organizational skilling in AI.

Qualifications:

Master's or bachelor's degree in computer science, Data Science, Statistics, or a related field.

Required Skills:

• 5-7 years' experience in data science, machine learning, or artificial intelligence, with a strong portfolio of projects.
• Proficiency in programming languages such as Python, R, or Java, SQL
• Experience in ML Platforms like Azure Machine Learning, Databricks, Azure Data Factory and with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Expertise in working with Big Data technologies (eg Hadoop, Spark) & databases like Azure Data Lake, Delta Lake, Snowflake.
• Strong in MLOps & Deployment: Model training, versioning, monitoring, and deployment.
• Strong statistical analysis skills and experience with data visualization tools (e.g., Power BI, Matplotlib, Seaborn).
• Experience with deep learning frameworks and natural language processing (NLP).
• Understanding of business process and ability to translate business needs into technical requirements.
• Experience in AI/ML deployment Manufacturing industry is highly desired.
• Excellent problem-solving and critical-thinking skills.
• Strong communication and interpersonal skills.
• Experience in setting up CoEs or analytics practices is a plus.

Why Join Us?

• Opportunity to be part of an Advanced Analytics CoE setup.
• Work on cutting-edge AI & ML projects in manufacturing.
• Direct impact on business-critical decisions and process optimization.
• Collaborative work culture with a focus on innovation and growth.

About the Company

KPMG in India is a leading professional services firm established in August 1993. The firm offers a wide range of services, including audit, tax, and advisory, to national and international clients across various sectors. KPMG operates from offices in 14 cities, including Mumbai, Bengaluru, Chennai, and Delhi. KPMG India is known for its rapid, performance-based, industry-focused, and technology-enabled services. The firm leverages its global network to provide informed and timely business advice, helping clients mitigate risks and seize opportunities. KPMG India is committed to quality and excellence, fostering a culture of growth, innovation, and collaboration.

About the Role

Data Scientist

Job Location: Bangalore/Gurgaon

Experience: 4-10 years

Responsibilities

• 4+ years of work experience as a Data Scientist
• A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project
• Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala)
• Good hands-on skills in both feature engineering and hyperparameter optimization
• Experience producing high-quality code, tests, documentation
• Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks
• Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and/or deep learning methodologies
• Proficiency in statistical concepts and ML algorithms
• Good knowledge of Agile principles and process
• Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team
• Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results
• Self-motivated and a proactive problem solver who can work independently and in teams

Equal Opportunity Statement

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.

Job Requirements

• Highly focused individual with self-driven attitude
• Problem-solving and logical thinking to automate and improve internal processes
• Using various tools such as SQL and Python for managing the various requirements for different data asset projects
• Ability to diligently involve in activities like Data Cleaning, Retrieval, Manipulation, Analytics, and Reporting
• Using data science and statistical techniques to build machine learning models and deal with textual data
• Keep up-to-date knowledge of the industry and related markets
• Ability to multitask, prioritize, and manage time efficiently
• Understand needs of the hiring organization or client in order to target solutions to their benefit
• Advanced speaking and writing skills for effective communication
• Ability to work in cross-functional teams demonstrating high level of commitment and coordination
• Attention to details and commitment to accuracy for the desired deliverable
• Should demonstrate and develop a sense of ownership toward the assigned task
• Ability to keep sensitive business information confidential
• Contribute, positively and extensively towards building the organizational reputation, brand, and operational excellence

Desired Qualifications for Associate Data Scientist:

• 3-6 years of relevant experience in data science
• Advanced knowledge of statistics and the basics of machine learning
• Experience in dealing with textual data and using natural language processing techniques
• Ability to conduct analysis to extract actionable insights
• Technical skills in Python (Numpy, Pandas, NLTK, transformers, Spacy), SQL, and other programming languages for dealing with large datasets
• Experience in data cleaning, manipulation, feature engineering, and building models
• Experience in the end-to-end development of a data science project
• Strong interpersonal skills and extremely resourceful
• Proven ability to complete assigned tasks according to the outlined scope and timeline
• Good language, communication, and writing skills in English
• Expertise in using tools like MS Office, PowerPoint, Excel, and Word
• Graduate or Post-graduate from a reputed college or university

What impact will you make?

Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential

Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential.

The Team

Deloitte's practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learnin g. Learn more about Analytics and Information Management Prac tice

Position Title: Data Scientist - Fraud & Scams Detection

Role Type: Data Scientist / Model Developer

Division: Division or Business Unit, e.g., Financial Crime Analytics / Technology & Operations

Role Purpose: - The Data Scientist - Fraud & Scams Detection will be responsible for designing, developing, and deploying advanced machine learning models to detect and mitigate fraud in digital and card transactions. This role supports the transition from a third-party solution to an internally developed and managed fraud detection system. The successful candidate will play a key role across the full model lifecycle-from early-stage analysis and feature engineering through to deployment and post-production monitoring working closely within an agile squad environment.

Key Responsibilities

• Design and develop fraud and scams detection models tailored to digital and card transaction data.
• Replace existing third-party fraud detection solutions with internally developed models.
• Define and test different ML approaches suitable for the fraud domain.
• Lead feature engineering, feature selection, and hyperparameter tuning for model optimization.
• Collaborate with business stakeholders, engineers, and squad members from initial discovery to deployment.
• Articulate design choices, modeling approaches, and monitoring strategies clearly and effectively.
• Deploy models into production using modern MLOps practices.
• Maintain model accuracy, relevance, and compliance through ongoing monitoring and evaluation.

Key Performance Indicators (KPIs)

• Successful deployment of fraud detection models with measurable accuracy and performance.
• Reduction in false positives/negatives relative to the third-party benchmark.
• Timely delivery of model milestones aligned to project timelines.
• Evidence of collaboration and active contribution in agile squad setup.
• Quality and robustness of documentation and monitoring processes.

Essential Experience

• Proven experience in developing and deploying fraud detection or risk models in production environments.
• Experience with end-to-end model development, including:
• Algorithm selection
• Feature engineering and selection
• Model training and tuning
• Deployment and post-deployment monitoring
• Strong understanding of fraud patterns and digital transaction behaviors.
• Hands-on experience working within agile teams or squads on data science delivery.

Technical & Functional Competencies

• Required:
• High proficiency in SQL, Python, PySpark
• Strong understanding of version control using Git
• Preferred:
• Experience with Databricks
• Familiarity with MLOps frameworks and production workflows

Soft Skills & Attributes

• Analytical mindset with a strong problem-solving approach.
• Ability to articulate complex data science concepts and decisions to non-technical stakeholders.
• Proactive, self-driven, and accountable for delivering high-quality outcomes.
• Strong communication and collaboration skills.
• Comfortable working in fast-paced, evolving environments.

Qualification Requirements

• Bachelor's or postgraduate degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.

Our purpose Deloitte is led by a purpose: To make an impact that matters.

Every day, Deloitte people are making a real impact in the places they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the

Communities in which we live and work-always striving to be an organization that is held up as a role model of quality, integrity, and positi ve change. Learn more about Deloitte's impact o n the world

Dear Professionals

Hiring for Data Scientist - Gen AI Specialist

Immediate to 20 days joiners only

Experience : 4+ Years

Location : Chennai Bangalore Hyderabad

Shift : 2 PM - 10 PM

What We're Looking For:

2+ years in Gen AI, RAG, LLM

Strong coding skills in Java or Python

Solid hands-on experience with SQL or Oracle

If your interested Keep me posted to or Whatsapp your CV to

All the best for your Job Search

Warm Regards

Raja Rajeswari R

Deputy Manager

At TRKKN, we are driven by the excitement of taking our client's data-driven businesses to new

heights. As the leading European Google partner and reseller of Google Cloud & Google

Marketing Platform, we act as a catalyst for cutting-edge digital marketing solutions. Our team is

diverse, international, inspiring, and operates in a fast-growing digital & technological environment.

This provides the ideal and dynamic work environment for individuals with a hunger for growth,

responsibility, and the desire to shape their future. With Google in close proximity, the learning and

development opportunities at TRKKN are limitless.

With over 25 nationalities, 20+ languages, and 240+ Trakkies on board, we're taking our business

global, and our story doesn't end here!

How you will make an impact:

• As a part of an international team of Data Scientists and Machine Learning experts with diverse backgrounds, you will be responsible for:
• Solving complex business challenges by means of advanced analytics, predictive modeling, machine learning/AI or other statistical modelling
• Developing and deploying minimally viable products
• Consulting clients in the area of data science/ML/AI
• Continuous collaboration with other technical departments such as Cloud Engineers, Solution Architects, etc. to facilitate deployments

The person we're looking for

• Holds a master's degree in mathematics, statistics, physics, data science, computer science or a comparable educational background
• Has professional experience of at least 5 years in analytics, machine learning or AI
• Is proficient in Python and SQL
• Has deep knowledge of statistical techniques and machine learning
• Knows technical and methodological aspects of running ML models in production
• Is customer-oriented and a strong analytical thinker
• Has strong storytelling skills and the ability to effectively communicate technical concepts to non-technical clients and colleagues
• Is fluent in written and spoken English

Nice to have:

• Experience with Google Analytics and Google Cloud Platform
• Worked on Marketing data, MarTech or Adtech platforms or Agencies
• Experience in the areas of marketing analytics, marketing intelligence, business intelligence, digital analytics and/or online marketing

We are looking for a hands-on AI Engineer / Data Scientist with deep expertise in Natural Language Processing (NLP) and Large Language Models (LLMs). The ideal candidate will have experience building custom AI models from the ground up, optimizing for performance, and integrating them into real-world systems and applications.

Key Responsibilities:

• Design, build, and deploy NLP and LLM-based models tailored to domain-specific needs (e.g., chatbots, summarization, classification).
• Fine-tune and adapt foundation models (e.g., GPT, LLaMA, Mistral) for business use cases.
• Build custom pipelines for text processing, entity recognition, language understanding, and speech-to-text integrations.
• Work closely with engineering teams to integrate AI models into production systems (APIs, microservices, and edge deployments).
• Conduct experimentation, model evaluations, and performance tuning for latency, accuracy, and scalability.
• Collaborate cross-functionally with product, infra, and DevOps teams to ensure smooth deployment and monitoring of model

Required Skills & Experience: 3-6 Years of relevant Experience

• Strong experience with Python, PyTorch, or TensorFlow.
• Proven track record in training, fine-tuning, and deploying LLMs or transformer-based models (BERT, GPT, T5, etc.).
• Solid understanding of NLP fundamentals - tokenization, embeddings, attention, text classification, sequence labeling, etc.
• Experience with model deployment tools: FastAPI, Flask, Docker, REST APIs.
• Exposure to data pipelines and MLOps tools (MLflow, Weights & Biases, SageMaker, etc.).
• Knowledge of speech-based interfaces or integration with telephony/speech systems is a strong plus.
• Ability to translate business problems into AI solutions.
• Experience with RAG (Retrieval Augmented Generation) pipelines.
• Familiarity with LangChain, LlamaIndex, or similar agentic/LLM orchestration tools.
• Understanding of model security, prompt injection risks, and observability.

Pls share below details with updated CV to if the JD suits your profile:

EXP

CTC

ECTC

Location

Notice

Regards,

Shruti

• At a Staff level and above, our scientists are expected to come in with deep expertise and experience in Ad Tech, AI/ML, and Data Science, particularly at scale. Familiarity with big data processing and cloud computing will be critical to succeed in this environment.
• In addition to possessing a mathematical aptitude, they need to be competent with data science languages and tools, such as Python or Apache Spark which will enable them to design scalable solutions for our advertising products, implement proof-of-concept, and evaluate them offline and online. They will also need to work with other engineers to take these solutions to live production and drive real business value.
• Most importantly, we look for a passion to investigate and learn about the world from data, to ask interesting and provocative questions, and be driven to put real models into production that drive real business value.
• We are open to diverse academic backgrounds, providing an intent to think and problem-solve like a data scientist. Our team includes engineers, mathematicians, computer scientists, physicists, economists and social scientists - a rock-star data scientist can come from any academic field.

• Master's in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or Economics, Analytics, Data Science. Or Bachelor's with additional experience.
• 10+ years of ad tech related industry experience working in Data Science teams. You would have applied algorithms and techniques such as NLP, Reinforcement Learning, Time Series, etc. from Machine Learning, Deep Learning, and Statistics or other domains in solving real world problems and understand the practical issues of using these algorithms especially on large datasets.
• Comfortable with software programming and statistical platforms such as R, Python etc.
• Comfortable with the big data ecosystem and Apache Spark. Familiarity with Microsoft Azure, AWS, or Google Cloud/Vertex AI will be a bonus.
• Comfortable collaborating with cross-functional teams.
• Familiarity with challenges of the identity-less world, particularly for iOS and Android
• Excellent technical and business communication skills and should know how to present technical ideas in a simple manner to business counterparts.
• Possess a high degree of curiosity and ability to rapidly learn new subjects and

• You will be responsible for leading one or more data science efforts for one of the biggest performance DSPs in the world. This involves project ideation and conceptualization, solution design, measurement and solution iteration, coaching, deployment and post deployment management.
• This will also include designing, development, testing of product experiments. You will need to guide junior members of the team in practical experiments, product design, model development and model evaluation. It is vital to be agile and iterate fast across experiment to deliver go-to-market ready products.
• You are expected to be a hands-on part of the role where you will also actively analyse data, design and develop models, and problem-solve solutions with the rest of the team.
• Additionally, stakeholder management is needed. It will involve being the interface with internal stakeholders such as our Product, Engineering, Data, Infrastructure, and Business teams.
• Our team strives for thought leadership in the sector. We encourage and support all team members to write blogs, commentary and case studies published on the InMobi blog. We also support team members across our MLAI team to speak at industry conferences and represent InMobi's work.
• You will learn how to design and build models for specific business problems. Even before that, you will be responsible for identifying the problem areas where AI can be applied to best business impact. You will learn to start a model design by anchoring in the business context and end user needs. You will learn how to connect model impact with real and measurable business impact.
• You will work in a multi-functional team environment. You will collaborate and benefit from the skills of a diverse group of individuals from teams such as engineering, product, business, campaign management and creative development.
• You will have the opportunity to experiment with multiple algorithms. Enduring learning comes from building, launching and reviewing performance of a particular algorithm; from asking why something worked or why it did not work; from asking how to tailor techniques to fit the problem at hand. We have an environment that makes this possible at speed.
• Importantly, you will learn to become creative in designing models to be successful. Model design is not one-size-fits-all. Our models need to fit our particular problems and be modified to perform. Tougher problems require layers of models, and feedback mechanisms in a dynamic environment such as ours.
• We are a company that innovates and demonstrates our thought leadership to the world, whether in products, research papers or conferences - there are many opportunities for you to shine.

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.

Job Responsibilities:

• Develop and optimize Python-based data science solutions using public datasets.
• Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
• Work closely with researchers and stakeholders to align solutions with company goals.
• Create well-documented Python code using Jupyter notebooks.

Job Requirements:

• Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
• Knowledge of Python programming for data analysis.
• Strong understanding of data science methodologies and analysis techniques.
• Fluent in spoken and written English.
• A minimum 5-hour work overlap with PST/PT is required.
• Strong problem-solving and analytical skills.

Job Benefits:

• Work with global experts in AI and data science.
• This is a contractual remote work opportunity without traditional job constraints.
• Competitive global-standard salary in USD.
• Contribute to cutting-edge projects shaping the future of AI.

Selection Process:

• Shortlisted developers may be asked to complete an assessment.
• If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
• Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.

Vertical : Credit analytics and innovation

Job Purpose

Looking for exceptional Data Scientist with a proven track record of experience in Predictive analytics.

Job Responsibilities(JR) : 6 - 8 Areas

Actionable (4-6)

Scorecard Building and Modelling

Developing analytical models to assess risk profile of a customer / identifying cross-sell opportunities/fraud control for new and existing customers

Responsible for development and deployment of various scorecards / models for the credit risk / Retail asset products of the Bank within the specified timelines. Ensure the deployment also is line with Bank's strategies so as to gain maximum efficiencies.

Estimate probability of default arising out of the scorecards and monitor deviation from expected default rates.

Monitor portfolio and identify pockets of opportunity for business growth and risk alerts to control NPAs. Communicate these alerts to the respective owners and follow-up for closure

Formulating data cuts and strategies to assess credit risk for new and existing customers of the Bank. Give feedback to stakeholders to improve the usage of the models

Develop novel approaches/algorithms in Risk modeling to constantly improve the operational efficacy of current models and its impact to stake holders

To adopt the latest trends wrt fintech companies by applying the best-in-class financial models, risk strategies

To work on various aspects related to automation of scorecards in Analytics domain.

Explore data available within the Banks ecosystem but not used currently to meet the above stated business objectives

Innovation

Thinking, evolving and making significant changes in the processes, techniques, methods so as to save time, energy and money.

Any other assignments depending on the needs of the organization

Educational Qualifications

Key Skills

1. MCA/MTech/MSc Statistics or Economics/BTech/MBA or equivalent in Computer science/Statistics or related areas with strong inclination towards machine learning algorithms is preferred

Excellent problem solving capabilities with strong fundamentals in computer science

Strong technical & analytical skills

Hands-on experience in data wrangling (ETL), feature engineering, building and deploying scalable machine learning algorithms

Strong written and verbal communication skills

Excellent knowledge of current trends in the field of machine learning/analytics field

Experience Required

• Experience of 2+ years in analytics/predictive modeling/machine learning
• Experience of 2+ years in Python/R in building as well as deploying scalable analytics based models
• Exposure to banking preferable

Major Stakeholders (intra team and cross functional stakeholders, who would need to be interacted with for discharging duties)

Credit Policy

Underwriting

Process

Fraud Control

Product

Credit Bureaus

Third Party Analytics Service Providers

IT

Legal

Information Security

Job Title: Data Scientist - Renewable Energy

Location: Gurugram

Experience Required: 1-3 years

Preferred Educational Background: Tier 1 Engineering Colleges

About the Role

We are seeking a passionate and skilled Data Scientist to join our team in driving data-led innovation within the renewable energy sector. The selected candidate will play a pivotal role in developing advanced forecasting models, automating data workflows, building scalable data pipelines, and utilizing Generative AI to enhance decision-making and operational efficiency.

Key Responsibilities

• Develop and deploy machine learning models for power generation forecasting, asset performance prediction, and anomaly detection
• Build and maintain automation scripts for data extraction, transformation, and reporting using Python, Selenium, and web scraping tools
• Design, develop, and integrate REST APIs to enable seamless data flow across internal and external systems
• Deliver end-to-end data science solutions, from requirement gathering and PRD creation to model deployment and performance monitoring
• Leverage Generative AI for report generation, development of chatbot interfaces, and document summarization
• Collaborate with domain experts and stakeholders to identify high-impact use cases and convert them into actionable data science initiatives
• Monitor, evaluate, and fine-tune model performance and maintain technical documentation
• Work with large, complex datasets from SCADA systems, energy meters, weather data sources, and market exchanges

Key Skills Required

• Strong programming skills in Python with hands-on experience using libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch
• Proficiency in Machine Learning and Time-Series Forecasting methods
• Practical experience with web scraping tools like Selenium and BeautifulSoup
• Sound understanding of API development and integration best practices
• Experience in developing and maintaining automated data pipelines; familiarity with Git and basic DevOps tools
• Excellent analytical and problem-solving abilities, with strong communication skills to articulate technical concepts to non-technical audiences

Preferred Qualifications

• B.Tech/B.E. from a recognized Tier 1 engineering institution
• 1-3 years of hands-on experience in data science, machine learning, or analytics roles
• Exposure to or a strong interest in the renewable energy domain-solar, wind, grid operations, or energy trading
• Familiarity with dashboarding tools such as Power BI or Tableau (preferred, not mandatory)

Job Role: Data Scientist

Job Type: Full-Time

Mode of work: Remote

Experience: 6+ Years

Key Responsibilities

• Analyze complex datasets to uncover insights using AI techniques.
• Build and deploy machine learning, deep learning, and NLP models.
• Collaborate with teams to understand client needs and deliver AI-powered solutions.
• Communicate insights clearly to various stakeholders.
• Continuously refine models for performance and accuracy.
• Stay current on AI advancements and apply them in real-world scenarios.
• Contribute to AI tools and infrastructure development.

Qualifications

• Bachelor's/Master's in Statistics, CS, Engineering, or related field.
• 6+ years of experience in IT and 3+ years of hands-on experience in Data Science/AI.
• Strong expertise in Python (Pandas, NumPy, scikit-learn, Streamlit) and SQL.
• Experience with ML/DL frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with Agile methodologies and cloud platforms (AWS, Azure, GCP).
• Solid communication and problem-solving skills.
• Knowledge of RAG implementation and AI agents is a plus.
• Interest or background in Corporate Finance is an added advantage.

About the Role

As a Principal Data Scientist in our AdTech team, you'll drive innovation in our advertising platform using advanced machine learning and statistical methods. You'll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our business's bottom line. This role requires technical excellence and business acumen and you'll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem.

What you will do

Design and develop sophisticated bidding, budget pacing and other algorithms that optimize ad spend or ROI.

Create frameworks and experimental design to measure ad effectiveness and ROI.

Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions.

Communicate long-term roadmap, insights and recommendations to tech and business leadership.

Mentor junior data scientists and provide technical guidance.

Lead research initiatives in machine learning, auction theory and advertising technology.

What you will need

B.Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML research.

Experience in auction theory, predictive modelling, causal inference, and reinforcement learning.

Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies.

History of mentoring junior data scientists, and comfortable in driving multiple problem statements.

Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences.

Preferred Qualifications

M.Tech or Ph.d in Computer Science with a specialization in Machine Learning.

3+ years of experience applying machine learning and statistical modeling in AdTech, or related domains.

Exposure in real-time bidding systems, programmatic advertising, or ad exchanges.

Track record of successful research-to-product transitions.

Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI).

We are looking for a Data Scientist to help us gain useful insight out of raw data.

Data Scientist responsibilities include working with the data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If you're also able to align our data products with our business goals, we'd like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data.

Key Responsibilities

Responsible for overseeing the data scientists team and data specialists

Teach, lead, and counsel colleagues on new techniques or solutions

Collaborate with data and software engineers to enable deployment of sciences and technologies that will scale across the company's ecosystem

Responsible for the conception, planning, and prioritizing of data projects

Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques

Ensure that data projects align with organizational goals

Minimum Qualification

Master's degree in Computer Science, Operations Research, Econometrics, Statistics or related technical field

3+ years of experience solving analytical problems using quantitative approaches

Experience communicating quantitative analysis results

Knowledge with relational databases and SQL

Development experience in any scripting language (PHP, Python, Perl, etc.)

Knowledge of statistics (e.g., hypothesis testing, regressions)

Experience manipulating data sets through statistical software (ex. R, SAS) or other methods

Technical Skills -

Must have -

Programming - Python (Preferred) / R

ML Models - i. Regression - Linear, Logistic, Multinomial, Mixed effect

Classification - Bagging & Boosting (Random Forest), Decision tree, SVM

Clustering - K-Means, hierarchical, DB-Scan

Time series - ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS (VAR), UCM

Neural Networks (Deep learning), Naive Bayes

Excel and SQL

Dimensionality Reduction - PCA, SVD etc.

Optimization Techniques - Linear programming, Gradient Descent, Genetic Algorithm

Cloud - Understanding of Azure / AWS offerings, Setting up ML pipeline of cloud

Good to have -

Visualization - Tableau / Power BI / Looker / QlikView

Data management - HDFS, Spark, Advanced Excel

Agile Tools - Azure DevOps, JIRA

Pyspark

Big Data/Hive Database

IDE: Pycharm