NielsenIQ: Senior Research Scientist — Pune/Chennai, TN, India

About NielsenIQ

NielsenIQ, also known as NIQ, works in consumer intelligence and retail measurement. Its employer material describes using market information, consumer insights and analytics to help businesses understand buying behaviour. Its data operations address the accuracy and completeness of information behind client reports, while analytical services interpret that information. The business connects details about products and retail activity with broader views of markets, giving organisations evidence for understanding demand and making commercial decisions.

The position and its setting

NielsenIQ lists Senior Research Scientist in Pune/Chennai, TN, India, under reference R26_0019658|IN. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Employment type: Full-time
• Employer listing date: 21 October 2026
• Brands: NielsenIQ
• Job Family: Machine Learning

Responsibilities and work described

• Development: and apply machine learning innovations to business problems with minimal technical supervision
• Assess your own and others’ results to understand their applicability in the real world
• Understand stakeholders’ requirements and communicate results and conclusions accurately, clearly and winsomely
• Execution: feasibility studies and analyze data to determine the most appropriate solution
• Work: on many different data challenges, always ensuring a combination of simplicity, scalability, reproducibility and maintainability within the ML solutions and source code
• Maintenance: and develop data and software with high-quality standards and minimal defects
• Collaboration: with technical colleagues on the integration and deployment of ML solutions
• Encourage team building, motivation and cultivate effective team relations
• Bachelor’s degree in computer science or an equivalent numerate discipline

Essential requirements and candidate background

• Demonstrated senior-level experience in Machine Learning and Deep Learning using Pytorch
• Experience performing EDA with large datasets and writing production-grade code
• Understand scientific papers and develop the idea into executable code
• Analytical mindset, problem solving and logical thinking capabilities
• A high level of interpersonal and presentation skills in English across cultures
• Ability to meet deadlines
• Keen to work as part of a diverse team of international colleagues and in a global inclusive culture
• Python, Pytorch, Git, pandas, sklearn, huggingface
• A minimum of 7 years’ experience with evidence in a related ML field

Education and qualification routes

• Degree / qualification: Master's degree and/or specialization courses in ML/DL/NLP
• Degree / qualification: PhD in science is an added value

Preferred experience and additional strengths

• Experience: MLOPs
• Understanding and practice of Generative AI (prompt engineering, RAG)
• A practical grasp of databases (SQL, ElasticSearch) and Databricks
• Experience: retail, consumer, ecommerce, business, FMCG domain
• Additional Information
• Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms
• Recharge and revitalize with help of wellness plans made for you and your family
• Plan your future with financial wellness tools
• Stay relevant and upskill yourself with career development opportunities

Location, schedule and contract conditions

• Work arrangement: Hybrid
• Advertised location: Pune/Chennai, TN, India

Benefits mentioned by the employer

• Flexible working environment
• Volunteer time off
• 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
• These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria
• All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion
• Final hiring decisions are made exclusively by humans
• 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: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Research Scientist vacancy is not an offer for reference R26_0019658|IN; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to NielsenIQ

Applications follow the official employer page linked below.

Open the official NielsenIQ posting below and match the title and reference R26_0019658|IN.

Compare your qualifications and experience with the essential conditions for the Pune/Chennai, TN, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• SQL
• AI/ML
• machine learning
• stakeholder management
• Git
• AI
• Revit