Job 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 general inclusive culture
- A minimum of 2-5 years’ experience with evidence in a related ML field

📌 Research Scientist (GenAI/LLM) (Madrid)
🏢 NielsenIQ
📍 Madrid