8,342 Senior Data Science Analysts jobs in India

Job Summary:

Client is looking for Data Scientist and this is remote position from India.

Responsibilities:

• Collaborate with cross-functional teams to identify business problems and translate them into actionable data science projects.
• Perform data exploration, cleaning, feature engineering, and model selection for optimal performance, leveraging the capabilities of Azure Databricks for large-scale data processing.
• Support production deployed ML models and AI applications
• Translate natural language queries into SQL statements for data retrieval.
• Extract and categorize entities from text data.
• Continuously monitor, evaluate, and tune model performance, identify areas for improvement, and iterate on models for optimal results.
• Document work effectively, including model development process, technical decisions, and results.
• Strictly adhere to Catalent’s Responsible AI Framework and practices
• Stay up to date on the latest advancements in machine learning, generative AI, and related technologies.

Experience:

Focus: Time series forecasting models and tree-based modeling applied to live data streams.

Requirements:

• Strong Python programming and data engineering skills.
• Comfortable with end-to-end software development, not just analytics.
• Build and support forecasting models that feed C-Suite level decision-making dashboards.
• Should handle scalable data pipelines and model deployment.

About the Role

We are looking for an experienced Data Scientist with expertise in Machine Learning, Generative AI, and Large Language Models (LLMs) to design, build, and deploy AI-driven solutions using the Azure ecosystem .

Responsibilities

• Build end-to-end ML pipelines (data prep, training, validation, deployment).
• Apply LLMs & GenAI for NLP, predictive modeling, and analytics.
• Develop recommendation engines, scoring systems, and predictive models .
• Run A/B tests and apply statistical methods to optimize performance.
• Integrate ML solutions into business systems in collaboration with cross-functional teams.

Skills & Experience

• 5+ years in ML/Data Science with strong Python skills.
• Hands-on with LLMs, GenAI frameworks, and deep learning (PyTorch/TensorFlow) .
• Experience with Azure ML, Cognitive Services, and Databricks .
• Knowledge of MLOps/model management (Azure ML Service / MLflow).
• Strong background in statistical evaluation and large-scale data handling .

Key Responsibilities: - Implement and maintain predictive models like CLTV prediction, propensity modeling, and churn prediction using BigQuery and Snowflake. - Develop customer segmentation models using clustering techniques and behavioral analysis. - Build and maintain survival models to analyze customer lifecycle events. - Work with large-scale datasets using BigQuery and Snowflake. - Develop and validate machine learning models using Python and cloud-based ML platforms (BQ ML, ModelGarden, Amazon Bedrock). - Translate model insights into actionable business recommendations. - Work with analytics and activation teams to implement model outputs. - Present analyses to stakeholders in clear and actionable formats.

Qualifications : - Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related field. - 4-6 years of experience in applied data science, preferably in marketing/retail. Technical Skills: - Proficiency in SQL and data warehouses (BigQuery, Snowflake). - Python for statistical modeling. - Machine learning frameworks (scikit-learn, TensorFlow). - Statistical analysis and hypothesis testing. - Data visualization tools (Matplotlib, Seaborn). - Version control systems (Git). - Understanding of Google Cloud Function and Cloud Run

Preferred Experience: - CLTV modeling. - RFM analysis and customer segmentation. - Survival analysis and hazard modeling. - A/B testing and causal inference. - Feature engineering and selection. - Model validation and monitoring. - Cloud computing platforms (GCP/AWS/Azure).

Soft

Soft Skills : - Analytical & Problem-Solving: Strong analytical and problem-solving abilities. - Communication: Excellent communication and presentation skills. - Collaboration: Ability to work effectively in a team environment. - Organization: Strong organizational skills.

Qualifications: - Education: Bachelors degree in Computer Science, Information Systems, or a related field. - Experience: - 3+ years of experience in data engineering, with a specific focus on Snowflake or other cloud-based data warehousing technologies. - Hands-on experience in building and managing Snowflake data warehouses. - Technical Skills: - Proficiency in Snowflake SQL and Snowflake features (Snowpipe, Data Sharing, etc.). - Strong SQL and experience in designing efficient data models. - Familiarity with ETL/ELT tools such as dbt, Apache Airflow, or Talend. - Working knowledge of Python or other scripting languages for automation. - Experience with cloud platforms like AWS, Azure, or GCP, particularly in data integration with Snowflake. - Knowledge of data governance, security best practices, and compliance requirements. - Preferred Skills: - Snowflake certifications, such as SnowPro Core. - Experience in additional analytics or BI tools like Tableau, Looker, or Power BI. Soft Skills: - Analytical thinker with strong problem-solving skills. - Clear communication and ability to work collaboratively with cross-functional teams. - Detail-oriented and committed to data accuracy and quality.

About the Organization : IndusInd Bank is a universal Bank with a widespread banking footprint with over 2.5 crore customers, over 5,000 distribution points and nearly 2,000 branches across the country. Bank is currently in its fifth planning cycle and is on a mission to attain scale with sustainability at its core and with a specific focus on leapfrogging digital banking capabilities.

Accordingly, the digital team at IndusInd Bank is on a journey to create differentiated transformative customer experience in financial services. The team’s charter to redefine banking experience for clients making is much simpler, intelligent, and personalized. The data science team(digital portfolio, platform growth & engagement) will be part of the digital team at IndusInd Bank and will help uncover insights that help drive the digital strategy and optimize customer experience.

About the role : You would be part of asset analytics and data science team and work on cutting edge problems for the bank. The individual will work closely with the stakeholders across risk, business, partnerships, digital and strategy in creating and refining strategies to augment profitability and growth for the bank. The incumbent will majorly be responsible with coming up data driven and actionable insights and presenting them to relevant stakeholders The candidate will work in close collaboration with digital product, growth, and marketing teams.

Overall, Job Description

• Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
• Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
• Well versed with necessary data reprocessing and feature engineering skills.
• Strong background in Statistical Analysis. Constantly look and research on ML algorithms and data sources for better prediction
• Work and coordinate with multiple stakeholders to identify opportunities for leveraging company data to drive business solutions, implement models and monitor outcomes.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques and develop processes and tools to monitor and analyze model performance and data accuracy.
• Experience in establishing/scaling up data science functions
• Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights
• Leverage analytics to increase customer lifetime value for clients acquired digitally by pitching right product to the right client at the right time
• Help define pricing models for digital value propositions for various segments of users / clients to ensure profitability of the portfolio and to ensure achievement of business outcomes
• Work with product, growth, and marketing teams across product/campaign lifecycle
• Empower product and marketing teams by creating automated dashboards and reports using PowerBI

Skills/Capabilities

• Model development experience in R, Python, SAS
• Strong and in-depth understanding of statistics
• Strong strategic thought leadership and problem-solving skills with ability to tackle unstructured and complex business problems
• Ability to build & use relationships and influence broadly across the organization
• Results driven with strong project management skills, ability to work on multiple priorities
• Handling Big Data, Segmentation, Analytics, Machine Learning, Artificial Intelligence, Statistics and Hypothesis Testing

Job Summary:

We are seeking a highly skilled and motivated Senior Data Scientist with over 5 years of experience in applying advanced Machine Learning (ML), Deep Learning, Natural Language Processing (NLP), and Computer Vision (CV) techniques to real-world problems. The ideal candidate will possess deep technical expertise, business acumen, and the ability to work independently and collaboratively in a fast-paced environment. Prior exposure to Generative AI models (LLMs, VLMs, MLLMs) and Big Data ecosystems is essential.

Key Responsibilities:

• Act as a Data Scientist for data handling, extraction, manipulation;
  creating structured form of data and pulling tangible insights from data
• Uses predictive modelling, statistics, trend analysis and other data analysis techniques to explore data and to answer specific research questions.
• Design, develop, and implement end-to-end data science solutions using structured and unstructured data.
• Take inputs from the Manager/Consultant to develop statistical models (predictive modelling, forecasting etc.) and apply appropriate techniques such as Exploratory Analysis, Regression, and Association etc.
• Develop executive presentation to present the analytical insights derived from the data analysis.
• Flexible to work on any problem statement in the space of AI-ML (NLP, CV & Predictive Analytics & Maintenance etc.)
• Must have a business problem understanding specifically from the domain of Automobile, Manufacturing, E-commerce, Aviation & digital things.
• Ability to deal well with ambiguity and act with autonomy.
• Collaborates with the team in order to improve the effectiveness of computational models through the use of data and feedback from stakeholders.
• Supports development of machine learning models with guidance from more senior co-workers
• Support and mentor junior data science team members, as needed.

Required Skills & Qualifications:

• 5+ years of experience as a Data Scientist or ML Engineer, working on real-world AI/ML projects.
• Strong expertise in Machine Learning, Deep Learning, NLP, and Computer Vision techniques.
• Hands-on experience with Generative AI models (LLMs, VLMs, MLLMs), and an understanding of multi-modal neural networks and Transformer architectures.
• Proficiency in Python, R, and key ML/DL libraries (Scikit-learn, Pandas, TensorFlow, PyTorch, etc.).
• Strong knowledge of SQL-based and NoSQL databases (MySQL, PostgreSQL, Oracle, MongoDB).
• Experience with statistical tools and platforms like WEKA, KNIME, Power BI, etc.
• Working experience with Big Data technologies – HDFS, Spark, Hive, Sqoop, MapReduce.
• Good understanding of cloud platforms (AWS, Azure, or GCP) – any hands-on experience is a plus.
• Excellent analytical, problem-solving, and communication skills.
• Domain experience in Automotive, Manufacturing, E-commerce, Aviation, or Digital Platforms is highly desirable.
• Ability to work both independently and within a team setting with a proactive mindset.

Preferred Qualifications:

• Education: A bachelor's degree in computer science, computer engineering, information technology, or a related field is typically the minimum requirement. Preferred a master's degree in data science, or a related field for advanced roles.
• Experience: Data Scientist requires 5+ years of experience in related fields such as database administration, data engineering, programming and data analytics.

Job Description

For more than 80 years, Kaplan has been a trailblazer in education and professional advancement. We are a global company at the intersection of education and technology, focused on collaboration, innovation, and creativity to deliver a best in class educational experience and make Kaplan a great place to work.

Our offices in India opened in Bengaluru in 2018. Since then, our team has fueled growth and innovation across the organization, impacting students worldwide. We are eager to grow and expand with skilled professionals like you who use their talent to build solutions, enable effective learning, and improve students’ lives.

The future of education is here and we are eager to work alongside those who want to make a positive impact and inspire change in the world around them.

As a Data Scientist at Kaplan, you will play a pivotal role in driving data-informed decisions and developing cutting-edge solutions that enhance our educational products and services. You will leverage your expertise in machine learning, statistical modeling, and data analysis to extract meaningful insights from complex educational datasets. You will collaborate with product managers, engineers, and educators to identify opportunities for innovation and develop data-driven solutions that directly impact student learning and teacher effectiveness.

Key Responsibilities:

• Develop and deploy advanced machine learning models: Design, implement, and evaluate machine learning models for tasks such as personalized learning recommendations, student performance prediction, content optimization, and educational resource analysis.
• Hands on experience in preparation of evaluation datasets and defining evaluation metrics for model training experiments.
• Conduct in-depth data analysis: Explore and analyze large datasets from various sources (e.G., student learning platforms, assessment data, user behavior logs) to identify trends, patterns, and insights that inform product development and educational strategies.
• Design and execute experiments: Develop and implement A/B testing and other experimental designs to evaluate the effectiveness of educational interventions and product features.
• Communicate insights and recommendations: Effectively communicate complex data insights and recommendations to both technical and non-technical audiences through visualizations, presentations, and reports.
• Collaborate with cross-functional teams: Work closely with product managers, engineers, educators, and researchers to define project goals, develop data-driven solutions, and ensure successful implementation.
• Stay up-to-date with the latest advancements: Continuously research and evaluate new machine learning techniques, tools, and best practices relevant to the education technology domain.
• Contribute to the development of data infrastructure: Work with data engineers to ensure data quality, accessibility, and scalability.
• Work on building products and features that use Generative AI
• Hybrid Schedule: 3 days remote / 2 days in office

Minimum Requirements:

• Bachelor’s/Master's in Computer Science, Statistics, Mathematics, or a related field.
• 3+ years of experience as a Data Scientist, with a proven track record of developing and deploying machine learning models in a production environment.
• Strong proficiency in programming languages such as Python (with libraries like scikit-learn, TensorFlow, PyTorch, pandas, NumPy) and LLMs ( ChatGPT, Gemini, Llama, Claude) etc.
• Strong Proficiency in Transformer Architecture, Multimodality, RAG Pipelines and Prompt Engineering.
• Experience with statistical modeling, data mining, and machine learning algorithms.
• Experience in SQL and working with relational databases.
• Experience working with cloud platforms (e.G., AWS, GCP, Azure).
• Excellent communication and presentation skills, with the ability to translate complex technical concepts into clear and concise language.
• Strong problem-solving and analytical skills.
• Experience with MLOps workflow with tools such as Weights and Biases, MLFLow etc
• Experience in integrating model monitoring in production
• Passion for education and a desire to make a positive impact on student learning.
• Experience with educational data and learning analytics is a plus.
• Experience with Natural Language Processing and CNN Models is a plus.

Preferred Qualifications:

• Publications in peer-reviewed journals or conferences related to machine learning or education technology.
• Experience working with large-scale educational datasets.
• Experience with recommender systems.
• Experience with time series analysis.

Dear Candidate,

Greetings from HCL Tech!

We are hiring Data scientist – Machine Learning requirement

Below is the JD for your perusal:

JD:

- Develop and implement AI models capable of accurate predictions.

- Analyze input data to identify key factors influencing rapid movements, utilizing data-driven insights.

- Establish and maintain a continuous learning framework to update models based on planner feedback.

Skills:

- Expert in AI and machine learning model development

- Strong programming knowledge in Python

If interested, kindly revert this mail with the details in the below format along with updated resume

Name

Contact Number

Email ID

Current Location

Preferred Location

Total Experience

Relevant Experience

Current Organisation

Current CTC

Expected CTC

Notice Period

Regards

Durga Karunakaran

HCL Technologies Ltd.

Dear Candidate,

Greetings from HCL Tech!

We are hiring Data scientist – Machine Learning requirement

Below is the JD for your perusal:

JD:

- Develop and implement AI models capable of accurate predictions.

- Analyze input data to identify key factors influencing rapid movements, utilizing data-driven insights.

- Establish and maintain a continuous learning framework to update models based on planner feedback.

Skills:

- Expert in AI and machine learning model development

- Strong programming knowledge in Python

Rate your self on below Skils

AI models

Machine Learning

Python

If interested, kindly revert this mail with the details in the below format along with updated resume

Name

Contact Number

Email ID

Current Location

Preferred Location

Total Experience

Relevant Experience

Current Organisation

Current CTC

Expected CTC

Notice Period

Regards

Durga Karunakaran

HCL Technologies Ltd.

Job Description

Job Role: Data Scientist

Experience: 2-4 Years

Job Location: Jaipur

About the Role

We are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will have strong analytical skills, expertise in data modeling, and the ability to translate complex data into actionable insights that support business decisions.

Key Responsibilities

• Collect, clean, and analyze structured and unstructured data from multiple sources.
• Develop and implement machine learning models, algorithms, and statistical techniques.
• Perform exploratory data analysis (EDA) to identify patterns, trends, and insights.
• Design and optimize predictive and prescriptive models for business use cases.
• Collaborate with cross-functional teams (engineering, product, business) to understand requirements and deliver data-driven solutions.
• Build dashboards, reports, and data visualizations to communicate findings effectively.
• Stay updated with the latest advancements in data science, AI, and machine learning.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• Proven experience (2+ years) as a Data Scientist or in a similar role.
• Strong programming skills in Python/R and proficiency in SQL.
• Experience with machine learning libraries and frameworks (e.G., scikit-learn, TensorFlow, PyTorch).
• Hands-on experience with data visualization tools (e.G., Power BI, Tableau, matplotlib, seaborn).
• Solid understanding of statistical analysis, hypothesis testing, and predictive modeling.
• Familiarity with big data technologies (e.G., Spark, Hadoop) is a plus.
• Excellent problem-solving and communication skills.

Preferred Qualifications

• Experience working with Azure cloud platform.
• Knowledge of deep learning and NLP techniques.
• Exposure to MLOps and deployment of models in production.