Senior Principal Data Scientist - GenAI.ML / AgenticAI at NielsenIQ

Pune City, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

05 Aug, 26

Salary

0.0

Posted On

07 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Agentic AI, Machine Learning, Large Language Models, Retrieval-Augmented Generation (RAG), Prompt Engineering, Python, SQL, PySpark, MLOps, LLMOps, Cloud Platforms, Statistical Modeling, Fine-tuning, CI/CD, Agile Development

Industry

Software Development

Description

Job Description Senior Principal Data Scientist The NielsenIQ Strategic Analytics and Insights team builds and scales globally deployed analytics and AI products that power decision‑making for retailers and manufacturers worldwide. Leveraging industry‑leading data assets and modern cloud platforms, we design always‑on, production‑grade AI systems embedded directly into client‑facing and internal products. We are hiring a Principal Data Scientist with deep expertise in Machine Learning, Generative AI, and Agentic AI systems. This is a senior, hands‑on technical role for an experienced AI practitioner who has designed, built, and deployed LLM‑powered systems in production, not just experimented with them. In this role, you will work closely with Product, Engineering, and Platform teams to take ideas from concept through deployment, while influencing AI architecture, standards, and best practices across the organization. Lead Advanced AI & Generative AI Solutions Design, develop, and deploy advanced AI/ML systems, with a strong focus on Generative AI and Agentic AI (e.g., LLM‑based reasoning, planning, tool use, and orchestration). Architect and implement LLM‑powered applications, including prompt engineering, retrieval‑augmented generation (RAG), fine‑tuning, and evaluation frameworks. Design agentic workflows that combine models, tools, memory, and business logic to solve complex, multi‑step analytical and decision‑making problems. Translate ambiguous business and product challenges into scalable AI system designs, selecting the right modeling and GenAI approaches. Build From Prototype to Production Rapidly prototype and validate new AI capabilities, then partner with Engineering to deliver secure, reliable, production‑grade systems. Define and uphold standards for model quality, performance, monitoring, and lifecycle management across ML and GenAI solutions. Ensure AI systems meet enterprise expectations for governance, explainability, robustness, and responsible AI use. Influence and Collaborate Across Teams Act as a technical leader and trusted advisor across Data Science, Product, Engineering, and Platform teams. Clearly communicate complex technical concepts, trade‑offs, and recommendations to both technical and non‑technical stakeholders. Drive initiatives end‑to‑end, aligning across multiple teams and managing dependencies in a fast‑moving environment. Mentor and Shape Technical Excellence Mentor and guide other data scientists, promoting best practices in ML, GenAI system design, and software engineering. Stay current with advances in LLMs, multimodal models, agent frameworks, optimization techniques, and cloud‑native AI architectures, and help translate them into practical, high‑impact solutions. Qualifications Experience & Expertise Master’s or PhD in Data Science, Computer Science, Machine Learning, Statistics, Mathematics, or a related field. 10+ years of experience building and deploying ML and AI systems in production environments. Recent, hands‑on experience with Generative AI and LLM‑based applications, including: Prompt engineering and systematic evaluation Retrieval‑augmented generation (RAG) Model fine‑tuning or adaptation techniques Agentic or multi‑agent system architectures Strong foundation in classical machine learning and statistical modeling, with good judgment about when GenAI is (and is not) the right solution. Experience with optimization techniques (e.g., linear or integer programming, constrained optimization) is a plus. Engineering & Platform Skills Advanced proficiency in Python, with experience using SQL and PySpark in cloud analytics environments. Hands‑on experience deploying AI systems on cloud platforms (e.g., Azure, GCP, or equivalent), including MLOps and LLMOps practices. Familiarity with Git‑based workflows, CI/CD pipelines, and Agile development. Business Context & Communication Experience working with large‑scale transactional or behavioral datasets (retail, CPG, FMCG, or similar domains is a plus). Excellent problem‑solving and communication skills, with the ability to operate independently at a Principal level and influence senior stakeholders. Why Join NielsenIQ Build real, production AI systems used by global clients—not just experiments or demos. Shape how Generative and Agentic AI are applied responsibly at enterprise scale. Influence long‑term AI architecture and standards across a global analytics organization. Work on complex, high‑impact business problems with talented peers across data science, engineering, and product. 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://www.nielseniq.com/global/en/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 Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook 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 Career Site Team: Product

Responsibilities

Lead the design and deployment of production-grade Generative and Agentic AI systems to solve complex analytical problems. Collaborate with cross-functional teams to translate business challenges into scalable AI architectures and mentor other data scientists.