Research Scientist (GenAI/LLM)

Short Summary

Research Scientist (GenAI/LLM) with NielsenIQ. Develop and apply machine learning innovations by collaborating with other team members and company stakeholders. Understand the requirements and be able to communicate results and conclusions in a way that is accurate, clear and winsome. Perform feasibility studies and analyse data to determine the most appropriate solution. Work on many different data challenges, always…

Key Details

• Position / opportunity: Research Scientist (GenAI/LLM)
• Organization: NielsenIQ
• Country / coverage: Spain
• Location: Madrid, M, Spain
• Work arrangement: On-site
• Opportunity type: Volunteer opportunities
• Sector: Education
• Compensation: Not specified
• Duration: Not specified
• Start date: 2026-07-13
• Application deadline: Not specified

Description

Develop and apply machine learning innovations by collaborating with other team members and company stakeholders. Understand the requirements and be able to communicate results and conclusions in a way that is accurate, clear and winsome. Perform feasibility studies and analyse data to determine the most appropriate solution. Work on many different data challenges, always ensuring a combination of simplicity, scalability, reproducibility and maintainability within the ML solutions and source code. Both data and software must be developed and maintained with high-quality standards and minimal defects. Collaborate with other technical fellows on the integration and deployment of ML solutions. To work as a member of a team, encouraging team building, motivation and cultivating effective team relations. Essential Requirements Bachelor's degree in Computer Science, Statistics, Maths or an equivalent numerate discipline Hands-on expertise in Machine Learning, NLP, LLMs, GenAI, AgenticAI and data science Understanding and practice of prompt engineering, RAG, document processing and fraud detection EDA analysis and practical hands-on experience with datasets, ML models and evaluations Python, Pytorch, Git, pandas, dask, polars, sklearn, huggingface, docker, databricks Analytical mindset, problem solving and logical thinking capabilities Proactive attitude, constructive, intellectual curiosity and persistence to find answers to questions A high level of interpersonal and communication skills in English and strong ability to meet deadlines Keen to work as part of a diverse team of international colleagues and in a global inclusive culture A minimum of 2-5 years’ experience with evidence in a related ML field Desired Skills PhD/Masters in a specific area of AI/ML with published papers Experience working with large datasets, production-grade code and operationalization of ML solutions Understanding & practice of LLMs & Generative AI (prompt engineering, RAG) Previous experience with tabular data, anomaly detection, time series forecasting, automated classification Experience in MLOPs (MLFlow, Prefect) and deployment of AI/ML solutions to the cloud (esp. Azure) Previous experience in retail, consumer, ecommerce, business, FMCG products (NielsenIQ portfolio) Salary: 38,400 to 46,500 EUR gross per year. Placement within the range will depend on objective criteria including experience, skills, and internal equity considerations. We are committed to equal pay and pay transparency. Remuneration decisions are made using gender-neutral and objective criteria. 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+…

Responsibilities

• Develop and apply machine learning innovations by collaborating with other team members and company stakeholders.
• Understand the requirements and be able to communicate results and conclusions in a way that is accurate, clear and winsome.
• Perform feasibility studies and analyse data to determine the most appropriate solution.
• Work on many different data challenges, always ensuring a combination of simplicity, scalability, reproducibility and maintainability within the ML solutions and source code.
• Both data and software must be developed and maintained with high-quality standards and minimal defects.
• Collaborate with other technical fellows on the integration and deployment of ML solutions.

Requirements / Eligibility

• and be able to communicate results and conclusions in a way that is accurate, clear and winsome.
• Perform feasibility studies and analyse data to determine the most appropriate solution.
• Work on many different data challenges, always ensuring a combination of simplicity, scalability, reproducibility and maintainability within the ML solutions and source code.
• Both data and software must be developed and maintained with high-quality standards and minimal defects.
• Collaborate with other technical fellows on the integration and deployment of ML solutions.

How To Apply

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