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
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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Skills Required
- Large language models (prompting, fine-tuning, adaptation)
- Retrieval-augmented generation (hybrid search, ranking optimization)
- Embedding strategies and semantic search systems
- Knowledge graph integration and graph-enhanced intelligence
- Agentic AI architecture, multi-step reasoning, autonomous agent orchestration
- Evaluation science (offline metrics, human-in-the-loop systems)
- Cost-performance optimization for AI systems
- AI observability and monitoring in production
- Data governance and compliance-aware system design
- Excellent communication skills to convey information to senior stakeholders
- Experience mentoring or training others and acting as subject matter expert
- Some management experience, including leading a team directly or indirectly
- Significant experience in a Data Scientist role
- Experience leading complex projects and customer relationships
RELX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.
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Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
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Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.
RELX Insights
What We Do
RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.
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