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Life Sciences Solutions serve clients in pharmaceuticals, biotech, medical technology, chemicals, oil & gas, FMCG, and more. We also support educators and students in chemistry and health sciences. Our clients aim to fight disease, improve patient safety, and develop sustainable materials. We enable evidence-based decision-making through our expertise in curating, enriching, and integrating scientific data assets. Our team values trust, respect, collaboration, agility, and quality.
About the role
The Principal Data Scientist will lead Proof of Concepts (PoCs), collaborate with commercial and data science teams, and shape technology strategy as part of the CM Architecture & Innovation team, reporting to the Senior Director.
Responsibilities
- Collaboration:Engage with Elsevier teams to understand data science capabilities and work with the Corporate Markets Business Unit to identify innovation opportunities.
- Innovation:Lead development experiments and PoCs using diverse technologies. Form cross-functional teams to validate ideas and inform strategies.
- Expertise:Act as a subject matter expert in Data Science and Advanced Technology, keeping the team updated on industry trends and presenting updates to stakeholders.
- Customer Engagement:Build relationships with technology users in the pharmaceutical industry, understand their challenges, and provide insights on IT trends.
- Transition Support:Support moving successful PoCs into production and encourage innovation across teams for faster outcomes.
- Strategy and Roadmaps:Contribute to the technology strategy and roadmaps for Corporate Markets.
Requirements
- Strong engineering background with current knowledge of AI/ML technology.
- Hands-on experience supporting production systems as a software developer or data scientist.
- Experience leading teams to deliver complex solutions, including across international teams.
- Proven ability to implement and integrate advanced Data Science and GenAI into production systems.
- Experience engaging with stakeholders at all levels, including presenting to CxO level.
- Proficiency in Python and familiarity with 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 with wellbeing initiatives, parental leave, study assistance, and sabbaticals.
Benefits
- Generous holiday allowance with additional purchase options.
- Health screening, eye care vouchers, private medical benefits.
- Competitive pension scheme.
- Share options, travel loans, EV schemes.
- Maternity, paternity, shared parental leave.
- Employee Assistance Programme, emergency care, RECARES days, resource groups, learning resources, discounts.
About Elsevier
A global leader in information and analytics, supporting science, healthcare, and education to address grand societal challenges and promote sustainability through innovative technologies.
Additional Information
Level: Mid-Senior level
Type: Full-time
Industries: Data Infrastructure, IT Services, IT Consulting, IT System Design
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