Principal Data Scientist I
Relx
Relx is also hiring for this role in London Wall, Amsterdam.
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What scientist roles keep asking for: Python (62%), Machine learning (51%), SQL (29%), LLMs (20%), Deep learning (18%), R (18%), C++ (18%), Generative AI (15%) — counted across their open postings here.
Data Scientist jobs in the United States · Remote Data Scientist jobs · Generative AI jobs · LLMs jobs · Observability jobs · RAG jobs
Relx has 956 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for scientist roles keep coming back to Python, Machine learning, SQL, LLMs. Practise those questions before you sit with Relx.
Questions you are likely to be asked
- Why do you want to join Relx?
- What is your experience with Generative AI? Tell me one thing you learned the hard way.
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
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Practise the Principal Data Scientist I at Relx interview free →Principal Data Scientist I Are you looking to develop your Data Scientist career? Would you like to be part of a team that innovates using technology? Responsibilities Acting as a leader for analytic project and result sharing Leading code reviews, acting as a final approver of models before reaching customers Evaluating and creating new frameworks and defining methodologies and governance Managing and leading small-to-medium sized teams, directly or indirectly Setting a high-bar for model development Requirements Large language models (prompting, fine-tuning, adaptation), LLM Advanced retrieval-augmented generation (hybrid search, ranking optimization), RAG Embedding strategies and semantic search systems Knowledge graph integration and graph-enhanced intelligence Agentic AI architecture, multi-step reasoning, autonomous agent orchestration, and long-running agent design with feedback loops, GenAI Evaluation science (offline metrics, human-in-the-loop systems) Cost-performance optimization AI observability and monitoring in production Data governance and compliance-aware system design Have excellent communication skills and the ability to convey information clearly to senior stakeholders Be a natural problem-solver and able to take a lead in collaborating to resolve issues Have experience in mentoring or training others , and acting as a subject matter expert to guide colleagues Have some management experience, including leading a team indirectly or directly Have significant experience in a Data Scientist role Have experience in leading complex projects and customer relationships 

U.S. National Base Pay Range: $118,300 - $219,800. Geographic differentials may apply in some locations to better reflect local market rates.



This job is eligible for an annual incentive bonus.





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Listed on workday · posted 2026-10-13. ApplySarthi collects openings and links to application pages; the role is advertised by Relx, not by us.