Company Description

LI-hybrid

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

Qualifications

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)

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 Benefits
- Adaptable working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program

📌 Research Scientist (Madrid)
🏢 NielsenIQ
📍 Madrid