NielsenIQ: Senior Data Scientist — Pune, MH, 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 Data Scientist in Pune, MH, India, under reference R26_0010582|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: 5 June 2026
• Brands: NielsenIQ
• Job Family: Predictive Analytics/Business Intelligence

Responsibilities and work described

• Own & lead evaluating & improvising the methodologies developed to improve quality of RES Designs and transforming Universe Estimation process involving Machine Learning & Statistical techniques
• Research new methodologies, research directions and quantify their improvement
• Delivery: 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
• Prototype as well as support pilot programs to drive innovation
• 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

Essential requirements and candidate background

• 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 understanding of FMCG Industry for specific core process and Advanced knowledge of RMS systems/products
• Experience: designing studies/sampling
• Comfortable designing solutions and supporting a team to execute
• Displays innovative thinking, data analytical skills, application of statistical techniques and encourages. experimentation in delivery of work
• Can support others to understand and apply more complicated technical principles & methodologies, creating clarity and focus for teams to deliver
• 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
• Drive to continuously learn and adopt new technologies and tools
• Communication, presentation and collaboration skills

Location, schedule and contract conditions

• Work arrangement: Hybrid
• Advertised location: Pune, MH, 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://www.nielseniq.com/global/en/ai-safety-policies

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Data Scientist vacancy is not an offer for reference R26_0010582|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_0010582|IN.

Compare your qualifications and experience with the essential conditions for the Pune, MH, 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
• AI/ML
• data analysis
• machine learning
• stakeholder management
• Git
• communication