Principal Applied Data Scientist

About the role

The Principal Data Scientist will drive fast-moving Proof of Concepts (PoCs) and collaborate closely with both commercial and other data science teams to gather customer feedback, shape technology strategy and take responsibility for the design and delivery of AI solutions.This role forms 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 across the Corporate Markets Business Unit to understand business goals and identify opportunities tocollaborate.

Innovation : Innovate hands-on withsolution 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.

Delivery : As a technologyleader,work with Product, Data Science & other technology teamsto drive solution delivery andfacilitate the transition of successful experiments / PoCs into production. Encourage innovators across Corporate Markets to deliver faster outcomes for customers.

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 town halls 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 into IT technology trends.

Strategy and Roadmaps : Contribute to and help drive the technological 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 organisation. 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