GenAI Insights Specialist

We are looking for a GenAI Insights Specialist to join our team and help translate the capabilities of large language models into measurable business value across consumer-facing industries such as FMCG retail and automotive. In this role you will design evaluate and optimize generative AI solutions across the lifecycle from problem framing and prompt engineering to evaluation frameworks cost optimization and insight delivery to marketing brand and commercial stakeholders.

You will sit at the intersection of applied AI marketing analytics and product partnering closely with data scientists engineers and business teams to turn unstructured consumer campaign and category data into trustworthy production-grade GenAI insights.

Key Responsibilities

• Design develop and refine prompts and prompt chains for a range of GenAI use cases including summarization classification extraction reasoning and Q&A over enterprise data.
• Build and maintain evaluation frameworks (offline and online) covering accuracy faithfulness hallucination rate bias latency and cost using both automated metrics and human-in-the-loop review.
• Conduct systematic experimentation across models prompting techniques (few-shot CoT ReAct self-consistency etc.) and retrieval strategies; document trade-offs and recommend the best configurations.
• Drive token and cost optimization through prompt compression context pruning caching batching model routing and selection of the right model tier for each task.
• Partner with engineering on RAG pipelines agentic workflows and tool use; identify failure modes and propose mitigations.
• Translate model outputs into clear insights dashboards and narratives for business stakeholders; quantify impact and ROI of GenAI initiatives.
• Apply GenAI to marketing analytics use cases such as consumer review mining social listening campaign performance summarization creative analysis category and competitor intelligence shopper insights and brand health tracking.
• Stay current with the rapidly evolving GenAI landscape (new models techniques benchmarks safety practices) and bring relevant innovations into the team.
• Contribute to responsible AI practices: red-teaming prompt injection awareness PII handling and compliance considerations.

Qualifications :

• 35 years of experience in data science machine learning analytics or applied AI with at least 12 years working hands-on with LLMs / GenAI in a production or near-production setting.
• Strong conceptual understanding of generative AI fundamentals: transformer basics tokenization context windows temperature/top-p embeddings fine-tuning vs. prompting vs. RAG and where each fits.
• Demonstrated expertise in prompt engineering including structured prompting few-shot design chain-of-thought role/system prompting output formatting (JSON/schema) and handling edge cases.
• Hands-on experience designing and running LLM evaluations building golden datasets defining rubrics using LLM-as-a-judge responsibly and interpreting results to drive iteration.
• Practical understanding of token economics and optimization measuring input/output tokens reducing context bloat leveraging caching choosing cost-appropriate models and tracking spend per use case.
• Proficiency in Python and comfort with at least one major LLM SDK or framework (e.g. Anthropic OpenAI LangChain LlamaIndex DSPy).
• Strong analytical and communication skills able to explain technical trade-offs to non-technical audiences and tell a clear story with data.
• Solid grounding in marketing analytics concepts consumer segmentation brand and campaign measurement funnel and attribution basics category/share of voice and the typical KPIs used by marketing and commercial teams.
• Working exposure to one or more consumer-facing industries such as FMCG / CPG retail e-commerce or automotive with an understanding of the data landscape (POS syndicated panel data like Nielsen/Kantar CRM social reviews dealership/aftersales data etc.) and the questions stakeholders typically ask.
• Bachelors or Masters degree in Computer Science Data Science Statistics Engineering or a related quantitative field (or equivalent practical experience).

Nice to Have

• Experience with RAG architectures vector databases (Pinecone Weaviate pgvector etc.) and embedding model selection.
• Exposure to agentic frameworks tool use and multi-step workflows.
• Familiarity with observability tools for LLMs (LangSmith Langfuse Arize Helicone or similar).
• Experience with fine-tuning LoRA/PEFT or distillation for cost reduction.
• Background in NLP prior to the LLM era (classical methods transformer fine-tuning).
• Prior experience in a consumer insights market research or marketing science function (agency consulting or in-house brand/retail/auto team).
• Familiarity with syndicated data providers (Nielsen Kantar Circana/IRI GfK JATO etc.) and common marketing tech stacks.
• Experience operating in a regulated environment (finance healthcare etc.) with awareness of compliance and data privacy constraints.

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 NIQs 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 NIQs AI Safety Policies and Guiding Principles: NIQ

NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to 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 insightsdelivered with advanced analytics through state-of-the-art platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.

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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  Work :

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Employment Type :

Full-time