189 Statistical Modeling jobs in India

Data Scientist experience (8 to 10 years)

• 5 years of relevant work experience as a data scientist
• Experience designing and building statistical forecasting models.
• Experience in Python, PySpark, Azure Machine Learning, OpenAI and SQL
• Minimum 2 years of experience in Azure Cloud using Natural Language API, MLflow
• Hands-on experience with LLMs and GenAI frameworks
• Experience designing and building machine learning models.
• Experience designing and building optimization models., including expertise with statistical data analysis
• Lead the end-to-end development of AI/ML solutions, from problem definition to production deployment.
• Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, Scikit-learn.
• Effective written and verbal communication skills

Mandatory: Skillset: Python, PySpark, Azure Machine Learning, OpenAI

Good to have : Azure Databricks

About Danone Group:

Mission: ‘Bringing Health through Food to as Many people as Possible’

Danone is a global leader in food and beverages, focusing on Essential Dairy and Plant-based products, Waters, and Specialized Nutrition. Our mission is to bring health through food to as many people as possible by creating nutritious products, promoting healthy eating habits, and operating sustainably.

With nearly 90,000 employees and products available in over 120 markets, Danone generated €27.6 billion in sales in 2023. Our Renew Danone strategy aims to foster long-term value through innovation and community support.

Danone is committed to making a positive impact economically, socially, and environmentally. In 2020, we became the first listed company to adopt the ‘Société à Mission’ status, reflecting our vision for a sustainable future.

More information can be found at .

About Danone India:

Danone operates in India as Nutricia International Pvt. Ltd, focusing on nutrition with a range of products catering to infants, toddlers, pregnant mothers, as well as adults. The company features well-known brands such as Aptamil, Dexolac, and Protinex. Danone employs over 1,000 individuals across India and generates a turnover exceeding €150 million. The company's head office is located in Mumbai, with a manufacturing facility situated in Lalru, Punjab.

Danone India is a Great Place To Work® certified organization, which reflects our commitment to creating a workplace where people are empowered to contribute meaningfully, grow professionally, and feel a true sense of belonging.

More information can be found at

Job Summary:

Work on the project of transformation of Demand Planning at global level in the roadmap of the digitalization for the Supply Chain. Creating and developing the ML models for all Danone categories

Roles & Responsibilities:

• Be part of the design and development of the ML core models and the analytics behind them
• Understand and capture cross country needs
• Be able to build the common approach of ML scalable models for the demand planning teams of different countries
• Support with all the analytics needs for the adoption of the ML models
• Build outstanding best in class ML models for Demand Planning that are able to cope with more complex and less steady environments
• Set up KPI's to track ML and Statistical models performance
• Select and understand the best approach of automatization for the overall Demand process driven by Statistical and Machine Learning capabilities
• Ensures collaboration of all teams in order to guarantee scalability of the models
• Keeps a close control of the ML developments to ensure cost compliance
• Responsible of the Continuous Improvement of the ML models and create the strategy of ML vs Statistical approach
• Responsible for the region's continuous improvement of ML and Statistical models in order to improve business performance
• Create standard ways of measure and manage strategies to find and fix root causes in forecast bias/accuracy
• Develop capabilities and skills on Machine Learning understanding across the regions
• Build, maintain, fine tune and audit Statistical & ML models to guarantee adaptability to new business context providing service for all regions
• Assist regions in processes and tools to embrace Statistical and ML technology
• Shield key processes and know-how on Statistical and ML
• Ensures standardization between different countries
• Guarantee highest ML utilization

Job Specifications:

• Education: Mathematics/Physics/Engineering with a master’s in business/data analytics or proven track record on Data Science
• Proven track record of minimum 5 years as a data scientist
• Great analytical skills
• Coding capabilities in R and/or Phyton
• Relationship/ Network builder
• Change management
• Project management
• Experience with Continuous Improvement

Main Interfaces

• Cross country demand planning teams
• IS/IT project managers and developers
• Supply chain cross functions

Freelance Opportunity: Statistician – Demographic & Synthetic Population Modeling (Remote | ₹50,000/month)

Duration: 2-Month Contract (Renewable)

Compensation: ₹0,000/month (net, based on deliverables)

We are seeking a highly qualified freelance statistician to explore and analyze publicly available demographic datasets—including respondent-level microdata where available—and translate them into actionable statistical insights. The ultimate goal is to develop frameworks and schemas for generating synthetic populations of various Indian states.

This project is ideal for a candidate passionate about data exploration, sampling theory, and synthetic data generation for policy, market, or simulation purposes.

• Data Exploration & Cleaning
• Locate, access, and curate publicly available demographic datasets (census, NFHS, WVS, ASER, NSSO, etc.).
• Conduct thorough quality checks and handle missing or inconsistent data.
• Statistical Analysis & Modeling
• Perform distribution analysis, parameter estimation, and relationship mapping between demographic variables.
• Apply sampling techniques to design representative synthetic populations.
• Identify key demographic and behavioral parameters that inform population modeling.
• Schema & Synthetic Population Development
• Build statistical frameworks and schemas to simulate respondent-level data for Indian states.
• Develop replicable workflows and documentation for ongoing data updates.
• Reporting & Communication
• Present findings in clear, visualized formats (tables, charts, dashboards).
• Recommend refinements to improve the representativeness and robustness of the synthetic population models.

• Education: Master’s degree or higher in Statistics, Econometrics, Data Science, or Quantitative Social Sciences from a premier institute (ISI, IITs, IISc, Delhi School of Economics, etc.).
• Core Expertise:
• Advanced understanding of sampling theory and experimental design.
• Strong proficiency in statistical programming (R, Python, or Stata).
• Knowledge of Bayesian inference and synthetic data generation techniques is a plus.
• Experience:
• Prior work with large demographic or respondent-level datasets.
• Track record of producing actionable statistical insights.

• Distribution and parameter analysis
• Survey sampling & weighting
• Regression and multivariate modeling
• Data wrangling and cleaning
• Reproducible workflow creation (scripts, notebooks)
• Clear presentation of statistical findings

• Fixed monthly fee of ₹50,00 NR .
• Flexible, output-oriented schedule.
• Initial engagement for 3 months with potential for extension based on performance.

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

Do You Dream Big?

We Need You.

Job Description

Job Title: Data Scientist – Predictive Forecasting

Location: Bangalore

Reporting to: Senior Manager Analytics

1) Purpose of the role

We are seeking a talented Data Scientist specializing in Statistical modelling, Predictive modelling, Time Series Forecasting to join our dynamic analytics team. The ideal candidate will have a strong background in statistical modeling and machine learning, with a focus on time series analysis. You will be responsible for developing predictive models for Business Cycles and Monthly Performance Monitoring, generating actionable insights from Forecasts, and driving business value through data-driven decision-making.

2) Key tasks & accountabilities

• Develop and Implement Models:
• Design and implement and Maintain time series forecasting models to predict key business metrics.
• Utilize advanced statistical techniques and machine learning algorithms to improve model accuracy.
• Data Analysis and Insight Generation:
• Analyze large and complex datasets to identify trends, patterns, and anomalies.
• Generate actionable insights that inform business strategies and operational improvements.
• Collaborate with Cross-Functional Teams:
• Work closely with deployment and development data scientists, and other stakeholders to understand business needs.
• Communicate Findings:
• Present analysis results and insights to stakeholders in a clear and concise manner.
• Prepare reports, visualizations, and dashboards to communicate data findings.
• Continuous Improvement:
• Monitor model performance and implement enhancements as necessary.
• Stay updated with the latest developments in data science, machine learning, and time series forecasting.

3) Qualifications, Experience, Skills

Level of educational attainment required.

Bachelor’s or master’s degree in data science, Statistics, Mathematics, Computer Science, or a related field.

Previous work experience

• Minimum of 2 years of experience in data science or a related role.
• Proven experience with time series analysis and forecasting techniques is a plus

Technical Skills required

• Python (Data Structures, Control Flow, OOPs, Modules and Packages, Exception Handling, VENV)
• MLOPs Fundamentals (Model Development, VCS, CI, CD, Serving, Monitoring & Logging, Registry, Data and Model Lineage)
• Experience with machine learning frameworks (e.G., scikit-learn, TensorFlow is a plus).
• Familiarity with data visualization tools (e.G., Power BI, matplotlib, plotly, streamlet).
• Data Analysis Tools - Pandas, Excel (Pivot Tables, Charts, Macros, Conditional Formatting, Shortcuts)
• Insights presentation - PowerPoint
• Version Control System (Git) - Basic Commands, Branching and Merging, Pull Requests & Code Reviews

Other Skills required

• Excellent problem-solving and analytical skills.
• Strong communication and presentation abilities.
• Ability to work collaboratively in a team environment.

And above all of this, an undying love for beer!

We dream big to create future with more cheers.

This role is focused on delivering high-quality clinical trial data analysis and reporting solutions to pharmaceutical clients. As a Senior Statistical Programmer, you will be responsible for leveraging advanced SAS programming skills and proficiency in CDISC standards (SDTM & ADaM) to support or lead one or more Phase I-IV clinical trials.

The ideal candidate will have a strong background in statistics, computer science, or mathematics, with at least 8 years of experience working with clinical trial data in the pharmaceutical industry. They will also possess excellent analytical and troubleshooting skills, as well as the ability to work effectively in a globally dispersed team environment.

• Performing data manipulation, analysis, and reporting of clinical trial data using SAS programming.
• Generating and validating SDTM and ADaM datasets/analysis files, and tables, listings, and figures.
• Production and QC/validation programming.
• Generating complex ad-hoc reports utilizing raw data.
• Applying strong understanding/experience of efficacy analysis.
• Creating and reviewing submission documents and eCRTs.

What We Offer:

• A dynamic and collaborative work environment.
• Opportunities for professional growth and development.
• A competitive salary and benefits package.

Qualifications:

• Bachelor's degree in statistics, computer science, mathematics, or related field.
• At least 8 years of SAS programming experience working with clinical trial data in the pharmaceutical industry.
• Strong analytical and troubleshooting skills.
• Ability to work effectively in a globally dispersed team environment.

We are seeking a skilled data analytics expert to join our analytics division.

• You will be aligned with our data analytics and bi vertical, leveraging the latest analytics techniques to deliver value to clients.
• You will help us apply expertise in building world-class solutions, conquering business problems, addressing technical challenges using various platforms and technologies.
• You will utilize existing tools, frameworks, standards, patterns to create architectural foundations and services necessary for analytics applications that scale from multi-user to enterprise-class.
• You will work as part of the analytics team, providing insights, actionable recommendations to internal & external organizations on optimizing ROI & performance efficiency in operations.

Key Responsibilities:

• Experience & Education:
• 5+ years progressive experience in data analytics and business intelligence
• Bachelor's degree required; preferably in Computer Science, Analytics, Statistics, or related field
• Proven experience in IT services industry or managed services provider environment
• Technical Expertise:
• Extensive experience in data science and advanced analytics delivery teams
• Strong statistical programming skills - SQL, Python
• Experience working with large data sets and big data tools like GCP (BigQuery, VertexAI), AWS, MS Azure etc.
• Solid knowledge in multivariate statistics, reliability models, Markov models, stochastic modeling, classification, regression, clustering ensemble modeling
• Experience in supply chain, marketing analytics, customer analytics, digital marketing, e-commerce business domains

Industry Knowledge:

• Understanding of ITIL and IT service management frameworks
• Experience with service desk metrics and KPIs
• Knowledge of data center and network management analytics
• Familiarity with cybersecurity analytics and reporting

We are seeking a highly skilled and motivated Data Analyst to join the CEOs and CFOs Office . In this role, you will work directly with the Company’s Management Team, providing in-depth data insights and analyses to facilitate informed decision-making.

Critical Tasks

Work closely with the KMPs to gather, process, and analyze data across various domains.

Develop and maintain data models, reports, and dashboards to support the business’s analytical needs.

Identify trends, patterns, and actionable insights in data to help drive critical decisions.

Present clear and concise analysis, leaving decision-making and strategy development to the founder.

Ensure efficient handling and visualization of large datasets to provide timely insights.

Stay updated on the latest tools, techniques, and trends in data analysis.

Educational Background and Work Experience

Experience: 3-6 years of proven experience in data analysis roles, preferably in B2B or B2C sectors .

Technical Skills:

● Proficient in data analysis tools like SQL, Python, R, or similar.

● Experience with BI tools such as Tableau, Power BI, or Looker.

● Strong knowledge of Excel, including advanced formulas and data manipulation.

● Analytical Skills: Ability to derive meaningful insights from complex datasets.

● Communication Skills: Strong ability to present data in a clear and concise manner.

● Educational Background: A degree in Data Science, Statistics, Mathematics, Economics, or a related field.

Competencies

A self-starter who thrives in a fast-paced environment.

Someone with a passion for numbers and a meticulous attention to detail.

Prior experience as Founder or Co-Founder is a must.

Preference for candidates not overly inclined towards strategic roles, with a focus on delivering top-notch data insights.

Working relationships – Stakeholders

Internal: Sales & Marketing, Finance, Plant & Operations

External:

Consultants, Knowledge Partners and Business Partners

Job Description:

Role: Data Analyst- Sr. Associate

Experience: 5-12 Years

Skills: Data Analysis, DatawareHousing, Strong Sql, Python

Insurance Domain experience of minimum 3-4 years (Mandatory- reinsurance, actuaries. Good to have- annuities, liabilities)

• 7-9 years of experience as a Data Analyst, with at least 5 years supporting Finance within the insurance industry.
• Hands-on experience with Vertica/Teradata for querying, performance optimization, and large- scale data analysis.
• Advanced SQL skills: proficiency in Python is a strong plus.
• Proven ability to write detailed source-to-target mapping documents and collaborate with technical teams on data integration.
• Experience working in hybrid onshore-offshore team environments.
• Knowledge of data engineering principles: ETL/ELT, data lakes, and data warehousing.
• Deep understanding of data modeling concepts and experience working with relational and dimensional models.
• Strong communication skills with the ability to clearly explain technical concepts to non-technical audiences.
• A strong understanding of statistical concepts, probability and accounting standards, financial statements (balance sheet, income statement, cash flow statement), and financial ratios.
• Strong understanding of life insurance products and business processes across the policy lifecycle.
• Investment Principles: Knowledge of different asset classes, investment strategies, and financial markets.

Please share your resume to