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Principal Data Scientist

RELX

London

On-site

GBP 60,000 - 100,000

Full time

Today
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Job summary

An established industry player is seeking a Principal Data Scientist to lead innovative projects and collaborate with cross-functional teams. This role involves driving Proof of Concepts, engaging with customers, and shaping technology strategies in a dynamic environment. The ideal candidate will have a strong engineering background in AI/ML, proven experience in data science, and the ability to communicate effectively across all business levels. Join a forward-thinking organization that values trust, collaboration, and quality, and contribute to impactful solutions that advance science and healthcare.

Benefits

Generous holiday allowance
Health screening and eye care vouchers
Wellbeing programs
Life assurance
Contributory pension scheme
Employee Assistance Programme
Access to learning and development resources
Employee discounts scheme

Qualifications

  • Strong engineering background with up-to-date knowledge of AI/ML technology.
  • Experience leading teams and delivering complex solutions.

Responsibilities

  • Drive fast-moving Proof of Concepts and collaborate with commercial teams.
  • Lead hands-on development experiments using diverse technologies.

Skills

AI/ML Technology
Python
Java
Data Science
Cross-functional Engagement
Stakeholder Management

Tools

Microsoft OneLake
AWS Sagemaker
Databricks
Snowflake

Job description

Principal Data Scientist

About our Team:

Our global team supports products in education electronic health records that introduce students to digital charting and prepare them to document care in today's modern clinical environment. We have a very stable product that we’ve worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality.

About the Role:

The Principal Data Scientist will drive fast-moving Proof of Concepts (PoCs) and collaborate closely with commercial teams to gather customer feedback, shaping technology strategy. This role is part of the CM Architecture & Innovation team, reporting to the Senior Director.

Responsibilities:

  • Collaboration: Connect across Elsevier to understand current data science, technology, and data capabilities. Engage with the Corporate Markets Business Unit to understand business goals and identify innovation opportunities.
  • Innovation: Lead hands-on development experiments and PoCs using diverse technologies and data science methods. Form short-lived, cross-functional teams to validate ideas with customers and inform strategy and roadmaps.
  • Expertise: Serve as a subject matter expert in Data Science and Advanced Technology (including GenAI/AI/ML). Keep the CM Technology team updated on industry trends and developments. Present at townhalls and provide updates to senior stakeholders.
  • Customer Engagement: Build relationships with technology users and builders in key customer organizations, particularly in the pharmaceutical industry. Understand their challenges and opportunities and provide insights on IT technology trends.
  • Transition Support: Facilitate the transition of successful experiments/PoCs into production. Encourage innovators across Corporate Markets to deliver faster outcomes for customers.
  • Strategy and Roadmaps: Contribute to and help drive the technology aspects of the strategy and roadmaps of Corporate Markets.

Requirements:

  • Strong engineering background with up-to-date knowledge of AI/ML technology.
  • Hands-on experience in supporting production systems as a software developer or data scientist.
  • Experience leading teams to deliver complex solutions, including working across distributed international teams.
  • Proven track record of implementing and integrating advanced Data Science and/or GenAI technology into production systems.
  • Demonstrable experience in cross-functional engagement and communication at all business levels, including stakeholder management and presenting at the CxO level.
  • Proficiency in coding with Python and experience with other relevant languages and technologies such as Java, LangGraph, MCP, Agentic Workflows, Knowledge Graphs, Vector search, and no/low-code frameworks.
  • Familiarity with platforms like Microsoft OneLake, AWS Sagemaker, Databricks, and Snowflake.

Work in a Way that Works for You:

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working for You:

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
● Generous holiday allowance with the option to buy additional days
● Health screening, eye care vouchers, and private medical benefits
● Wellbeing programs
● Life assurance
● Access to a competitive contributory pension scheme
● Save As You Earn share option scheme
● Travel Season ticket loan
● Electric Vehicle Scheme
● Optional Dental Insurance
● Maternity, paternity, and shared parental leave
● Employee Assistance Programme
● Access to emergency care for both the elderly and children
● RECARES days, giving you time to support the charities and causes that matter to you
● Access to employee resource groups with dedicated time to volunteer
● Access to extensive learning and development resources
● Access to employee discounts scheme via Perks at Work

About the Business:

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

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