6,186 Data Science Analyst jobs in India

We are working with a number of UK and US based clients and one of our UK based client got requirements in Data science, predictive analytics, metrics generation from a number of cloud end points and the data is more of networking related device logs.

Experience level - 3 to 7 Years

Please attach your resume along with your application.

Job Types: Full-time, Permanent

Pay: ₹8, ₹58,257.51 per month

Benefits:

• Health insurance
• Provident Fund

Work Location: In person

JD - Sr.
Data Scientist Media Analytics.

Experience : 7-8 years.

Location : Bangalore (Onsite).

Candidates who can join within 15 days may only apply.

Job Summary
We are looking for a Senior Data Scientist to Support Media Use Cases with strong expertise in Media Analytics and a proven track record in driving marketing measurement and optimization. The role will be responsible for delivering actionable insights, evaluating marketing effectiveness, and driving data-backed recommendations to optimize media Skills & Experience :

• 7-8 years of experience in Data Science/Analytics with a strong focus on media measurement, marketing effectiveness, and performance optimization.
• A minimum of a bachelors degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Economics, or other related fields with emphasis on quantitative methods and solutions. An advanced degree in a similar field is preferred.
• Experience in developing and implementing advanced analytics models, such as Customer Lifetime Value, NLP, Look-Alike models, and Anomaly Detection.
• Familiarity with large language models (LLMs) and generative AI is highly desirable.
• Ability to write (and refactor) robust code in Python, Spark, SQL, employing best practice coding standards and documentation.
• Proven experience with Databricks platform, Snowflake, and Azure cloud services.
• Experience in MLOps techniques, including CI/CD pipelines, automated testing, and model monitoring.
• Experience with BI tools such as Power BI, DOMO, and Tableau.
• Strong understanding of machine learning algorithms, data structures, and software design principles.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Strong communication and interpersonal skills with the ability to collaborate and partner across diverse global multi-functional Qualifications :
• Experience with classification models, time series forecasting, customer lifetime value models, large language models (LLMs), and generative AI.
• Preferably from the Retail, eCommerce, or CPG Responsibilities :
• Develop and implement advanced analytics models for customer lifetime value, anomaly detection, and media mix modeling.
• Solve complex media optimization problems and conduct A/B testing to evaluate proposed solutions.
• Partner with domain leads and business stakeholders to clearly understand business requirements; design and develop analytical and AI solutions to drive recommendations that are clearly linked to the organization's strategy and OKRs, and drive performance improvement.
• Support the domain leads and business teams to solve complex analytical challenges.
• Work closely with cross-functional teams of business partners, data scientists, data engineers, solutions, and data architects to quickly deliver scalable Artificial Intelligence (AI) solutions including DL, ML, NLP, optimization, etc.
• Development, deployment, and maintenance of scalable AI solutions, including the optimization of data queries, code refactoring, shared library usage, and documentation of process and solution artifacts.
• Research and promote the latest technologies, design patterns, and best practice delivery models that drive optimal business value and ensure continuous improvement of the team, processes, and platforms.
• Drive recommendations that are clearly linked to the organization's strategy and OKRs and drive performance improvement.
• Employ innovative thinking and always seek the best ways of working for our teams and business partners.

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JD – Data Science Analyst - Media Analytics

Experience: 7–8 years

Location: Bangalore (Onsite)

Notice Period: Candidates who can join within 30 days may only apply

Job Summary

We are looking for a Senior Data Science Analyst with strong expertise in Media Analytics and a proven track record in driving marketing measurement and optimization. The role will be responsible for delivering actionable insights, evaluating marketing effectiveness, and driving data-backed recommendations to optimize media investments.

Required Skills & Experience

• 7–8 years of experience in Data Science/Analytics with a strong focus on media measurement, marketing effectiveness, and performance optimization.
• Hands-on expertise in advanced statistical modeling, attribution, and experimental design.
• Proficiency in tools such as Python, R, SQL, and visualisation platforms (Tableau/Power BI).
• Experience in Media Mix Modeling (MMM) is a plus.

Key Responsibilities

• Lead the design, development, and implementation of media analytics solutions to evaluate channel and campaign effectiveness.
• Analyze large-scale marketing, consumer, and business performance datasets to generate actionable insights.
• Partner with business, marketing, and analytics teams to define measurement frameworks and KPIs.
• Translate advanced statistical analyses into clear, business-focused insights and recommendations.
• Stay updated with the latest trends in media analytics, measurement methodologies, and tools.
• Mentor and guide junior analysts in media analytics and advanced measurement techniques.

Exp: 3 to 8 years

Job Location: Noida ( 5 days WFO)

Notice : Immediate to 30 days

Role & responsibilities

• Data collection, profiling, EDA & data preparation
• AI Model development, experimentation, tuning & validation
• Present findings to business users & project management teams
• Propose ML based solution approaches & estimates for new use cases
• Contribute to AI based modules in Infosys solutions development
• Explore new advances in AI continuously and execute PoCs

• Mentoring Guide junior team members & evangelize AI in organization

• Technical skills

• Programming : Python, R, SQL
• ML algorithms
• Statistical ML algorithms
• Deep Neural Network architectures
• Model ensembling
• Generative AI models
• ML for Responsible AI
• AI domains - NLP, speech, computer vision, structured data
• Learning patterns supervised, unsupervised, reinforcement learning
• Tools for data analysis, auto ML, model deployment & scaling, model fine tuning
• Knowledge of different Model fine tuning approaches for Large models
• Knowledge of datasets, pre-built models available in open community and 3rd party providers
• Knowledge of software development & architectures
• Knowledge of hyperscalers & their AI capabilities Azure, AWS, GCP
• Knowledge of Model Quantization and Pruning

Preferred candidate profile

Interested candidates , kindly share updated resume with details

Roles & Responsibilities
Core Skills

• Bachelor's degree in computer science or a related field OR master's degree in statistics, economics, business economics, econometrics, or operations research.
• 5-10 years of experience in the Analytics/Data Science domain.
• Experience with Generative AI techniques and tools.
• Familiarity with ETL methods, data imputation, data cleaning, and outlier handling.
• Familiarity with AWS cloud platform and AI/ML services.
• Knowledge of databases and associated tools such as SQL.

Technical Skills – Desirable

• Expertise in Deep learning, Segmentation, Classification and Ensemble techniques
• Multi-agent frameworks, and Evaluation frameworks.
• Proficiency in programming languages such as Python.

Technical Skills – Good To Have

• Agentic AI
• API development
• Deployment of Data science and GenAI applications
• Exposure to Big Data technologies like Spark.

Specific Responsibilities

• Requirement Gathering:
• Translate business requirements into actionable analytical plans.
• Ensure alignment with the customer's strategic objectives.
• Data Handling:
• Identify appropriate data sources to address business problems.
• Resolve data discrepancies, including ETL tasks, missing values, and outliers.
• Development and Execution:
• Deliver projects and POC initiatives from inception to completion.
• Develop and refine technical and analytics architecture.
• Implement scalable analytical frameworks and data pipelines.
• Coordinate with cross-functional teams.
• Deliver production-ready models and solutions.
• Monitor success metrics and ensure high-quality output.

Experience

• 6-8 Years

Skills

• Primary Skill: Data Science
• Sub Skill(s): Data Science
• Additional Skill(s): Python, Data Modeling, Big Data, ETL, AI/ML Development, Data Science, SQL, Deep Learning

About The Company
Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).

Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.

Who You'll Work With
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.

When you join us, you will have:

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

Your Impact
As a Data Science Analyst you will work with the Insights & Analytics group and consulting teams at McKinsey, helping solve analytically complex client problems in the marketing domain, applying and administrating analytical/modeling tools and techniques and drawing insights through statistical techniques and predictive modeling.

The primary role of the Analyst will be client service with additional responsibilities in knowledge development.

Your key activities as a Data Science Analyst will include
: performing general statistical analysis and modeling in client engagements for marketing efforts; developing statistical models to measure and optimize pricing and promotions; providing guidance to teams on analytics projects related to technique/modeling related issues; supporting development and maintenance of proprietary McKinsey marketing techniques and other knowledge development projects; coaching and mentoring new hires by sharing business, functional and technical expertise; and delivering high quality end products on time, performing quality checks wherever required.

You'll work with Growth, Marketing & Sales team in Gurgaon/Bengaluru primarily supporting the Insights & Analytics (IA) group of GM&S.

Growth, Marketing & Sales team leverages decades of McKinsey's marketing and sales experience helping leading companies improve pricing, promotion, assortments, and performance management. The combination of software, tailored services, and expertise provides our clients with a granular view of their commercial and financial performance by gathering and integrating their landscape of data and information into a central data warehouse. Clients can use our intuitive interface to make decisions based on advanced analytics and can embed new pricing, commercial, and performance management capabilities throughout their organization.

GM&S Solutions fosters innovation driven by analytics, design thinking, mobile and social by developing new products/services and integrating them into our client work. It is helping to shift our model toward asset-based consulting and is a foundation for – and expands our investment in – our entrepreneurial culture. Through innovative software as a service solution, strategic acquisitions, and a vibrant ecosystem of alliances, we are redefining what it means to work with McKinsey.

As one of the fastest-growing parts of our firm, McKinsey Solutions has more than 1,000 dedicated professionals (including more than 800 analysts and data scientists) and we're hiring more mathematicians, data scientists, designers, software engineers, product managers, client development managers and general managers.

Your Qualifications and Skills

• Bachelor's or master's degree in disciplines such as computer science, applied statistics, mathematics, engineering, or related fields
• 2+ years of deep technical experience in advanced analytics, statistics, and machine learning
• Hands-on experience in building, training, and optimizing predictive models, with the ability to interpret and evaluate results
• Knowledge of hypothesis testing and experimental designs (e.g., A/B testing) is preferred, as these are often used for investigations and recommendations
• Advanced expertise in Python, with strong command over key libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn; familiarity with Kedro is a plus
• Proven ability to work efficiently with large datasets, including tasks such as data cleaning, transformation (feature engineering), and analysis, while ensuring data quality and integrity
• Proficiency in SQL, with the ability to write intermediate-level queries for data extraction and transformation
• Strong understanding of cloud platforms, particularly AWS and/or Azure Databricks
• Familiarity with data visualization tools such as Tableau or Power BI, as well as version control systems like Git, is highly desirable
• Intermediate expertise in Excel, not only for presenting outputs but also for building basic models to support scenario analysis and decision-making
• Excellent presentation and communication abilities, with the capacity to explain complex analytical concepts and insights to both technical and non-technical audiences

Core Skills

•  Bachelor's degree in computer science or a related field OR master's degree in statistics, economics, business economics, econometrics, or operations research.

•  5-10 years of experience in the Analytics/Data Science domain.

•  Experience with Generative AI techniques and tools.

•  Familiarity with ETL methods, data imputation, data cleaning, and outlier handling.

•  Familiarity with AWS cloud platform and AI/ML services.

•  Knowledge of databases and associated tools such as SQL.

Technical Skills – Desirable:

•  Expertise in Deep learning, Segmentation, Classification and Ensemble techniques

•  Multi-agent frameworks, and Evaluation frameworks.

•  Proficiency in programming languages such as Python.

Key Responsibilities

Analysis & Research

 Conduct ad hoc exploratory data analysis to identify fraud patterns and trends, with focus

on new account fraud and account takeovers

Integrate and evaluate third-party data sources to test and enhance the efficacy of existing fraud detection solutions

erform retrospective analyses and back-testing to demonstrate solution value to

prospective clients

xecute statistical studies to support product development and optimization decisions

Model Support & Validation

ollaborate with senior data scientists to support predictive model development and

implementation

onduct quality assurance testing of machine learning algorithms and key data attributes

alidate model performance and stability across different data scenarios

tay current on emerging data science techniques, particularly in AI/ML for fraud

detectionCommunication & Reporting

efine and deliver analytical reports that translate complex findings into actionable

business insights

resent results to both technical and non-technical stakeholders

upport client demonstrations and proof-of-concept initiatives

ocument analytical methodologies and findings

Required Qualifications Education

achelor's or advanced degree in Statistics, Mathematics, Computer Science, Data

Science, or a related quantitative field

Experience

– 5 years in data science, analytics, or a related analytical role.

 ediate joining preferred (within 2 weeks)

ust hold a valid passport

alid B1 visa is an added advantage

Technical Skills

roficiency in Python

xperience with Jupyter Notebook and statistical analysis

trong SQL skills for data extraction and manipulation

roficiency in Microsoft Excel and PowerPoint

Analytical Skills

olid understanding of statistical modeling and machine learning concepts

xperience with data exploration and pattern recognition

trong problem-solving and critical thinking abilities

Communication

bility to explain complex analytical concepts to non-technical audiences Personal Attributes

elf-directed with strong project management skills

ollaborative team player with eagerness to learn

etail-oriented with commitment to data quality and accuracy

Job Type: Full-time

Pay: ₹1,200, ₹1,500,000.00 per year

Experience:

• Python: 3 years (Required)
• Jupyter Notebook: 3 years (Required)
• Statistical analysis: 3 years (Required)
• SQL: 3 years (Required)
• data extraction : 3 years (Required)

Work Location: In person

Job Description: Data Science Analyst

Key responsibilities

• Deliver quality analytics, from data preparation, data analysis, data exploration, data quality assessment, data manipulation, method selection, design & application, insights generation and visualisation
• Develop and implement basic machine learning models and algorithms under the guidance of senior data scientists to extract insights and solve business problems
• Proactive learning and acquisition of key analytical, technical and commercial skills and business knowledge to become a proficient Analyst working under the supervision of the senior/lead data science analysts.
• KPIs: Timeliness, accuracy, manager and client feedback (Internal and external as required)
• Collaborate with internal stakeholders and demonstrate the ability to transform client questions and problems into analytical solutions
• Active team member in providing the required support to help business understand and optimise use of analytical products and / or solutions
• Build industry knowledge on the advancements in the field of analytics, data science and GenAI
• Comply with the IM Cigna and CHSI Policies, procedures and processes, and continuously demonstrate Cigna Data and Analytics culture.

Key activities

• Working in a team to support end-to-end analytical projects
• Liaising with stakeholders to determine objectives / scope of upcoming projects
• Data exploration, cleansing and manipulation
• Determining appropriate type of analysis and undertaking analysis/modelling
• Extracting insights
• Clear presentation of insights via spreadsheets, PowerPoint presentations, self-service analytical visualisation tools
• Participate in client meetings
• Ongoing stakeholder interaction (internal and external as required) on project progress
• Contribute to the Feedback process (between stakeholders and the team) to ensure continuous improvement with team
• Participate and contribute in learning forums such as Analytics Community and sharing knowledge with wider team

Experience and education required

• 2-4+ years' experience in a technical analytics environment, carrying out data analytics and data science/AI projects and initiatives
• Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline
• Knowledge of technical analytics discipline, including data preparation and foundational analytics concepts
• Experience with successfully managing both internal and external stakeholders, delivering against projects, tasks and activities in a dynamic deadline driven environment
• Commercial acumen to understand business needs and be able to suggest the commercial impacts of different analytics solutions or approaches
• Coding and modelling experience in SQL / R / Python and / or Cloud data platforms e.g. AWS
• Experience in visualization and data management tools is an added advantage
• Experience in GenAI/ LLMs is an added advantage
• Experience working with complex datasets
• Attention to detail and self driven continuous learning
• Participation in external data hackathons and competitions will be an added advantage

About The Cigna Group

Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.