Research Scientist (AI/ML)
External
Nielseniq · Madrid, SpainPrepare for this interview
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Requirements
- 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)
- 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)
Benefits
Additional Information
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 Previous experience with tabular data, anomaly detection, time series forecasting, automated classification 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
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