Principal Data Scientist

NielsenIQ; Vadodara; On-site; INR 3,500,000 - 7,000,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Job summary

NielsenIQ seeks a senior Data Scientist to own end-to-end data science for specific markets across new and established products. You will partner with Managing Directors and leaders, translating complex business problems into robust analytical strategies and defending statistical approaches.

You will interact with clients in high-pressure situations, guide problem-solving, and ensure solutions are scalable, analytically sound, and business-relevant. Strong English communication is essential.

Qualifications

• Degree in Mathematics, Statistics, Data Science or a related quantitative field.
• 7+ years of hands-on experience in market research, consumer analytics, or a Data Science field.
• Proven ability to own complex analytical problems and guide methodology selection.

Responsibilities

• Own end-to-end Data Science for a market or industry across new and established products.
• Act as a senior Data Science partner to leadership, supporting country-level revenue objectives.
• Engage with clients in high-pressure situations, defending statistical approaches and outcomes.
• Collaborate with internal teams to raise analytical standards and deliver scalable, business-relevant solutions.

Skills

Statistical depth

Data Science

Client engagement

Leadership

Education

Mathematics/Statistics/Data Science degree

Job description

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 strong statistical rigor, senior Data Science ownership, and confident client interaction are critical to success.

Job Description

What You’ll Do

• 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
• Collaborate 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

Experience

• 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 (strong preference for candidates operating beyond junior or execution‑only roles)
• Demonstrated ability to independently own complex analytical problems, including methodology selection, statistical reasoning, and interpretation
• Solid understanding of the CPG/FMCG industry and retail market dynamics, and how analytics drives measurable client impact
• Proven experience working in client‑facing, high‑pressure environments, handling challenging questions, escalations, and tight timelines
• Strong statistical and logical skills, with experience in sampling, bias reduction, indirect estimation, statistical modeling or data aggregation techniques

Qualifications

• Passionate about innovation and Data Science technology, with strong statistical depth rather than surface‑level knowledge
• Proficiency in 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
• Strong ability to explain complex statistical concepts clearly to non‑experts, including senior clients
• Excellent problem‑solving, deductive reasoning, and analytical thinking skills
• Strong collaboration and communication skills across Data Science, Commercial, Product, and Technology teams
• Ability to prioritize, make decisions, and manage multiple assignments in a fast‑paced, high‑pressure environment
• Demonstrated leadership maturity, ownership mindset, and accountabilityV3
• Strong business acumen, consultative skills, and empathy for client needs
• Excellent written and spoken English
• Eager to continuously learn and adapt to evolving methodologies, technologies, and tools

Job Description

What You’ll Do

• 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
• Collaborate 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

Experience

• 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 (strong preference for candidates operating beyond junior or execution‑only roles)
• Demonstrated ability to independently own complex analytical problems, including methodology selection, statistical reasoning, and interpretation
• Solid understanding of the CPG/FMCG industry and retail market dynamics, and how analytics drives measurable client impact
• Proven experience working in client‑facing, high‑pressure environments, handling challenging questions, escalations, and tight timelines
• Strong statistical and logical skills, with experience in sampling, bias reduction, indirect estimation, statistical modeling or data aggregation techniques

Qualifications

• Passionate about innovation and Data Science technology, with strong statistical depth rather than surface‑level knowledge
• Proficiency in 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
• Strong ability to explain complex statistical concepts clearly to non‑experts, including senior clients
• Excellent problem‑solving, deductive reasoning, and analytical thinking skills
• Strong collaboration and communication skills across Data Science, Commercial, Product, and Technology teams
• Ability to prioritize, make decisions, and manage multiple assignments in a fast‑paced, high‑pressure environment
• Demonstrated leadership maturity, ownership mindset, and accountability
• Strong business acumen, consultative skills, and empathy for client needs
• Excellent written and spoken English
• Eager to continuously learn and adapt to evolving methodologies, technologies, and tools

Additional Information

Our Benefits

• 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/

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. 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.

For more information, visit NIQ.com

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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. We believe that embracing a wide range of perspectives drives innovation and excellence. 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. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion