Job Description About the job You will work with a global team dedicated to the development of new methodologies for Retail Establishment Survey & other data collection processes. We are looking for someone in our methods team to be part of these transformational initiatives to improve quality and redefine the process of RES design and Universe Estimation leveraging advanced technologies, integration of data sources, Machine Learning techniques, statistical and data analytical skills.

You should have a passion for innovation, Research & Development and challenging data opportunities!

Own & lead evaluating & improvising the methodologies developed to improve quality of RES Designs and transforming Universe Estimation process involving Machine Learning & Statistical techniques.

Deliver methodological enhancements improving overall quality & process efficiencies.

Work closely with different teams such as technology, other Data Science teams, internal stakeholders during development & deployment of new methodologies.

Owns and maintains Data Science global methodologies and ensures they are well documented and understood.

Asks questions to engage & motivate team on seeking further understanding of data.

Reviews the progress of projects and POCs and proposes improvements and constructive critiques.

Master’s / Doctorate Degree in Data Science, Mathematics, Statistics or Engineering degree in Computer Science, Data Science or related fields involving statistical analysis of large data sets

At least 5 years’ of relevant experience

Exhibits a solid understanding of FMCG Industry for specific core process and Advanced knowledge of RMS systems/products.

Experience in designing studies/sampling

Displays innovative thinking, data analytical skills, application of statistical techniques and encourages. Domain expert knowledge of the following: programming, statistical analysis / machine learning/deep learning, time series, sampling

Experienced in Python programming, machine learning and working with queries and large-scale databases





Preferable knowledge of geospatial data and techniques

Able to work in virtual environment and familiar with git/Bitbucket processes

Flexible working environment

LinkedIn Learning

Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles:

About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing current pathways to growth. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

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Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. To learn more about our ongoing efforts in diversity and inclusion, please visit the [

📌 Senior Data Scientist (AI/ML) (Pune)
🏢 Nielseniq
📍 Pune