NielsenIQ: Lead Data Scientist — Vadodara, GJ, 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 Lead Data Scientist in Vadodara, GJ, India, under reference R26_0020982|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: 18 August 2026
• Brands: NielsenIQ
• Job Family: Predictive Analytics/Business Intelligence

Responsibilities and work described

• Join a and diverse global team dedicated to developing innovative solutions that uncover the complete consumer journey for our clients
• We are seeking a highly skilled Data Scientist with development skills in programming: Python
• Additionally, expertise in statistics, mathematics, econometrics, and experience with panel data to revolutionize the way we measure consumer behavior both online and in-store
• Looking ahead, we are excited to find someone who will join our team in developing a tool that can simulate the impact of production process changes on client data
• This tool outside of the production factory will allow the wider Data Science team to drive innovation with unpresented efficiency
• In this role, you will contribute to the development and refinement of our data processing pipeline while shaping new analytical methodologies
• You’ll grow from owning specific steps of the pipeline to becoming an expert across data cleaning, preparation, and rule validation, working fluently with Python and large datasets
• Also design new methods, translate them into clear specifications, and collaborate with engineering teams to ensure accurate and scalable implementation
• Close coordination with stakeholders helps you understand their needs, gather requirements, and secure alignment
• This position is ideal for someone who enjoys handson coding, improving data processes, and driving methodological innovation within a collaborative, crossfunctional environment

Essential requirements and candidate background

• 5+ years experience
• Educational Background: Master’s / Doctorate Degree in Data Science, Mathematics, Statistics or BE/BTech
• Computer Engineering degree in Computer Science, Data Science or related fields involving statistical analysis of large data sets
• Ideally you possess a good understanding of consumer behavior, panel-based projections, and consumer metrics and analytics
• You have successfully designed and developed software applying statistical and data analytical methods and demonstrated your ability to handle complex data sets
• Experience: (un)managed crowdsourced panels and receipt capture methodologies is an advantage
• End-to-End Mindset: Experienced understanding processes also holistically
• You enjoy connecting methodology, engineering, and business context to build solutions that work end‑to‑end—spanning data ingestion, modeling, tooling, deployment, and impact evaluation
• Data Analysis Skills: Proficiency in manipulating, analyzing, and interpreting large data sets and experience presenting the findings and recommendations
• Programming Proficiency: Experienced programming in Python, an ideal candidate has already implemented Statistical methods like outlier validation
• Experience programming efficiently to process large amounts of data, optimally using the PySpark package
• Optionally, experience in SQL and working with queries
• Communication and Collaboration: communication, writing, and collaboration skills
• Experience or interest in supporting cross-functional stakeholders in production deployment
• Continuous Learning: Eagerness to adopt and develop evolving technologies and tools

Preferred experience and additional strengths

• Statistical Expertise: statistical and logical skills, with experience in data cleaning, outlier validation, sampling, bias reduction, indirect estimation, and data aggregation techniques
• Software Engineering Skills: Knowledge in software engineering, including experience designing and developing software
• Technology Skills: Familiarity with technology stacks for cloud computing (AzureAI, Databricks, Snowflake), experience with version control systems GitHub or Bitbucket
• Embark on this exciting journey to transform our panel measurement business and make a significant impact in the world of consumer analytics
• Apply now to be a part of our innovative team!

Location, schedule and contract conditions

• Work arrangement: On-site
• Advertised location: Vadodara, GJ, 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 Lead Data Scientist vacancy is not an offer for reference R26_0020982|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_0020982|IN.

Compare your qualifications and experience with the essential conditions for the Vadodara, GJ, 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
• data analysis
• stakeholder management
• communication