Research Scientist - Generative AI & Applied Research
External
Nielseniq · Madrid, SpainFull-timeOn-site1w ago
ComplianceGenerative AIMachine LearningPythonRAGVector Databases
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Requirements
- 6+ years of experience in applied ML / AI roles
- Strong ML fundamentals , especially in experimentation design, evaluation, metrics, and error analysis
- Proven expertise in applied research methodology : hypothesis-driven work, controlled experiments, and clear conclusions
- Strong Python coding skills and ability to build fast, clean prototypes
- Hands-on experience with Generative AI and LLM-based systems (prompting, RAG-style solutions, evaluation of outputs)
- Experience with semantic search, embeddings, and vector databases
- Ability to translate business problems into GenAI solutions , not just models
- Strong problem understanding and critical thinking skills
- Comfortable working with stakeholders, explaining results, trade-offs, and limitations
- Team player with a collaborative, pragmatic mindset
- Strong focus on GenAI , grounded in solid ML principles
- What We Value:
- A curious mindset and strong critical thinking to tackle complex problems and recommend well-reasoned solutions.
- Ability to ask the right questions to fully understand challenges and communicate scientific results in clear, general terms.
- Proven collaboration with junior engineers and researchers, and strong interpersonal skills to work across teams.
Benefits
Flexible working environmentVolunteer time offLinkedIn LearningEmployee-Assistance-Program (EAP)About NIQFor more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: LinkedIn | Instagram | Twitter | FacebookOur commitment to Diversity, Equity, and InclusionFlexible scheduleEquity / stock options
Additional Information
We are looking for a hands-on Research Scientist with 6+ years of experience, strong machine learning fundamentals, and deep expertise in applied research methodology and evaluation . The role is focused on solving real business problems using Generative AI , building on strong ML fundamentals. You will work closely with product, engineering, and business stakeholders to understand problems, design experiments, evaluate GenAI-based solutions, and recommend practical approaches that can be scaled.
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Company Intel
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