You will work with an interdisciplinary and global R&D; team dedicated to the research, development, and deployment of new statistical/ML/AI methodologies to support a range of NIQ products/processes enhancements from within in the Data Science organization. We are looking for someone who can leverage advanced technologies – including statistical methods, machine learning, and artificial intelligence – to improve products/processes and, coupled with strong analytical skills, successfully deliver on R&D; tasks.
You must be a scientist at heart and have a passion for innovation, research & development (R&D;), and challenging problems!
Research and develop new methodologies, research directions, prototype solutions, and quantify their improvement with rigorous scientific methods in the ML/AI space
Own all the phases of an R&D; project or process improvement, including conceptualization, design, prototyping, documentation, deployment, and monitoring
Work closely and collaborate with experienced teams in operations, technology, other data scientists, and internal stakeholders during all phases of a project
Deliver high quality, academic publication-level, documentation of new methodologies and best practices
Engage with stakeholders on objectives, scope, execution, data exchange, and outcomes for assigned projects
Participate in and actively contribute to multiple projects simultaneously
degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or related field & experience, with outstanding analytical expertise and strong technical skills. At least 7 years of relevant experience
Domain expert knowledge in multiple areas of the following: programming,



software engineering / UI & UX / multivariate statistics (parametric/non-parametric) / machine learning / deep learning & Agentic AI / trend & time-series analysis / sampling theory
Critical and innovative thinking coupled with strong analytical skills focused on experimentation and hypothesis testing
High proficiency in Python programming (without AI assistance) and working with large-scale databases (e.g., SQL, Hadoop, pySpark, etc), statistical packages (Pandas, NumPy, Scikit-Learn), and unit testing. Experience with AzureML, DataBricks, and CI/CD (Docker, Unix, AKS) best practices
Able to work in virtual environment and comfortable with git (Github) processes, including PRs and code conflict resolution
Strong communication, presentation and collaboration skills in the English language with a record of written materials and public presentations (e.g., Experience in NIQ processes and methodologies, such as data collection, platforms, research processes, and operations

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:
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

📌 Lead ML / Data Scientist (Vadodara)
🏢 Nielseniq
📍 Vadodara