NielsenIQ: Principal 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 Principal Data Scientist in Vadodara, GJ, India, under reference R26_0017068|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: 6 August 2026
• Brands: NielsenIQ
• Job Family: Predictive Analytics/Business Intelligence

Responsibilities and work described

• As the world's largest research organization, NielsenIQ is powered by talented creative scientists
• Our Data Scientist associates come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics, and demography
• These professionals drive innovation, new product ideation, develop complex analysis, and deliver data insights to measure what consumers buy
• This role sits within a high ‑ expectation, high ‑ visibility environment, where statistical rigor, senior Data Science ownership, and confident client interaction are critical to success
• Own Data Science end ‑ to ‑ end for a specific market or industry across new and established products, including analytical design, methodology decisions, and solution validation
• Act as a senior Data Science business partner to Managing Directors, Commercial, Product, and Technology leaders, supporting country ‑ level revenue, EBITDA, and strategic objectives
• Engage directly with external clients in high ‑ pressure situations, translating complex and often ambiguous business problems into robust analytical strategies, and confidently defending statistical approaches and outcomes
• Support: Client and Commercial teams with advanced Data Science and methodological guidance (this role goes beyond basic statistical support)
• Play a leading role in the application of data and analytics strategies, ensuring solutions are analytically sound, scalable, and business‑relevant
• Innovate and design out ‑ of ‑ the ‑ box solutions by leveraging large, complex datasets and state‑of‑the‑art statistical and Data Science methodologies
• Collaboration: closely with in‑house Data Science teams, raising analytical standards, guiding problem‑solving approaches, and aligning on priorities
• Enable Data Science technology solutions on the ground and ensure output meet both client expectations and internal quality standards
• Work: closely with Product Enhancement, Product, and Technology teams to bring analytical solutions to market, from concept through deployment
• Degree in Mathematics, Statistics, Data Science, or a related quantitative field involving deep statistical analysis of large datasets
• 7+ years of hands ‑ on experience in market research, consumer analytics, or a relevant Data Science field (preference for candidates operating beyond junior or execution‑only roles)
• Independently own complex analytical problems, including methodology selection, statistical reasoning, and interpretation

Essential requirements and candidate background

• Experience
• Understanding: the CPG/FMCG industry and retail market dynamics, and how analytics drives measurable client impact
• Experience working in client ‑ facing, high ‑ pressure environments, handling challenging questions, escalations, and tight timelines
• Passionate about innovation and Data Science technology, with statistical depth rather than surface‑level knowledge
• Proficiency: manipulating, analyzing, and interpreting large data sets
• Experienced in proactive stakeholder and client engagement, confidently linking advanced analytics to business outcomes
• Innovative mindset with the ability to design solutions, not just execute predefined analyses
• Ability to explain complex statistical concepts clearly to non ‑ experts, including senior clients
• Problem‑solving, deductive reasoning, and analytical thinking skills
• Collaboration and communication skills across Data Science, Commercial, Product, and Technology teams
• Prioritize, make decisions, and manage multiple assignments in a fast‑paced, high‑pressure environment
• Demonstrated leadership maturity, ownership mindset, and accountability
• Business acumen, consultative skills, and empathy for client needs
• Written and spoken English
• Eager to continuously learn and adapt to evolving methodologies, technologies, and tools

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 Principal Data Scientist vacancy is not an offer for reference R26_0017068|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_0017068|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.

Preparing a relevant example

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Relevant skills

• stakeholder management
• communication