Research Scientist (GenAI/LLM)

Madrid, SpainFull-timePosted Jul 13, 2026
Google Chrome Microsoft Edge Apple Safari Mozilla Firefox Research Scientist (GenAI/LLM)Full-timeCareer Site Team: Technology Compensation: EUR 38400 - EUR 46500 - yearlyCompany Description#LI-hybrid We are looking for a Research Scientist with a data-centric mindset to join our applied research and innovation team. The ideal candidate will have a strong background in machine learning, deep learning, language models, GenAI, AgenticAI and process automation. You will be responsible for analyzing data, researching the most appropriate techniques, and the development, testing, support and delivery of proof of concepts to resolve real world and large-scale challenging problems.Job DescriptionDevelop 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 scienceUnderstanding 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 deadlinesKeen 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 fieldQualificationsDesired SkillsPhD/Masters in a specific area of AI/ML with published papersExperience working with large datasets, production-grade code and operationalization of ML solutionsUnderstanding & practice of LLMs & Generative AI (prompt engineering, RAG)Previous experience with tabular data, anomaly detection, time series forecasting, automated classificationExperience 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)Additional Information  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 BenefitsFlexible working environmentVolunteer time offLinkedIn LearningEmployee-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...

Want jobs like this matched to you?

Swoopd scores fresh postings against your résumé so you only see the matches that matter.

Get started free