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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.

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

Position: Statistician

Experience Range: 2 to 4 yrs

Job Location: Bangalore

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

About Anumana:

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

About the Role

We are looking for a detail-oriented Statistician to analyze data, identify trends, and support decision-making across departments. The ideal candidate has strong statistical modeling skills and experience in applying these techniques in real-world scenarios.

Minimum Qualifications:

• Bachelor’s/Master’s/PhD in Maths, statistics, or related technical field.
• Experience in effectively applying statistical methods on top of big data inferences to yield more relevant information.
• Fluency in R/Python for statistical work. Development familiarity such as making REST APIs, and scripting in Python would be preferable.
• Basic Knowledge of Data Science.

Preferred Qualifications:

• Proven relevant work experience.
• Proven strong record of applying statistics in different scenarios.
• Demonstrated ability to design and execute on R&D agenda.

Responsibilities:

• Join our data science and engineering team to undertake cutting-edge R&D projects in the above-mentioned areas.
• Interact with team members, including domain experts, to build and engineer optimal solutions for customer problems and platform features.
• Adapt and innovate on latest data science, statistics, and computer science techniques to develop solutions for real-world, large-scale problems in healthcare.

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

Job Role Responsibility Description :

We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare.

Required Skillsets :

• Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers.

• Need to be able to communicate their findings, orally and visually.

• Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.-

• Need to have a natural desire to go beneath the surface of a problem.

• Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown.

• Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming.

• Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch.

In addition the need to be familiar with disciplines as follows :

• Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing.

Data scientists should have at least some of the following capabilities :

• Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment.

• Being able to develop or program databases.

• Having a good understanding of design & architecture principles.

Qualification :

B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT.

Mandatory Requirement :

Experience :

• Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist.

• Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems.

Job Position :

Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup.

Joining : Immediately.

Job Location : Delhi NCR, India.

Global HQ, Benovymed Global Technology Development and Innovation Center & Benovymed Global R and D, and AI Health Innovation Center in Delhi NCR.

Job Role Responsibility Description :

We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare.

Required Skillsets :

• Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers.

• Need to be able to communicate their findings, orally and visually.

• Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.-

• Need to have a natural desire to go beneath the surface of a problem.

• Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown.

• Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming.

• Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch.

In addition the need to be familiar with disciplines as follows :

• Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing.

Data scientists should have at least some of the following capabilities :

• Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment.

• Being able to develop or program databases.

• Having a good understanding of design & architecture principles.

Qualification :

B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT.

Mandatory Requirement :

Experience :

• Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist.

• Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems.

CTC :

• Best Package in Industry.

• Terms & Conditions Apply as per our organization.

• To deserving eligible candidates only, the company Equity / ESOP may be given also as a part of a Package for a long-term career opportunity.

• Apply with your CV with passport size photo, & current CTC, expected CTC, Notice Period, Project details & cover letter.

Joining : Immediately.

Job Role Responsibility Description :We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare.Required Skillsets :- Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers.- Need to be able to communicate their findings, orally and visually.- Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.-- Need to have a natural desire to go beneath the surface of a problem.- Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown.- Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming.- Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch.In addition the need to be familiar with disciplines as follows :- Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing.Data scientists should have at least some of the following capabilities :- Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment.- Being able to develop or program databases.- Having a good understanding of design & architecture principles.

Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT.

Mandatory Requirement :Experience :- Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist.- Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems.

Joining : Immediately.

Job Role Responsibility Description :

We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare.

Required Skillsets :

• Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers.

• Need to be able to communicate their findings, orally and visually.

• Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.-

• Need to have a natural desire to go beneath the surface of a problem.

• Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown.

• Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming.

• Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch.

In addition the need to be familiar with disciplines as follows :

• Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing.

Data scientists should have at least some of the following capabilities :

• Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment.

• Being able to develop or program databases.

• Having a good understanding of design & architecture principles.

Qualification :

B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT.

Mandatory Requirement :

Experience :

• Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist.

• Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems.

Job Role Responsibility Description :

We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare.

Required Skillsets :

• Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers.

• Need to be able to communicate their findings, orally and visually.

• Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.-

• Need to have a natural desire to go beneath the surface of a problem.

• Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown.

• Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming.

• Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch.

In addition the need to be familiar with disciplines as follows :

• Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing.

Data scientists should have at least some of the following capabilities :

• Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment.

• Being able to develop or program databases.

• Having a good understanding of design & architecture principles.

Qualification :

B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT.

Mandatory Requirement :

Experience :

• Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist.

• Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems.