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For Companies At a Glance
- Tasks: Lead innovative data science projects and collaborate with teams to drive technology strategy.
- Company: Join Elsevier, a global leader in science and healthcare analytics, tackling societal challenges.
- Benefits: Enjoy flexible work options, generous holidays, health perks, and a supportive work culture.
- Why this job: Be part of a dynamic team shaping the future of data science in impactful industries.
- Qualifications: Strong engineering background with AI/ML knowledge; experience in leading complex solutions.
- Other info: Mid-senior level role with opportunities for professional growth and innovation.
The predicted salary is between 54000 - 84000 £ per year.
Join to apply for the Principal Data Scientist role at Elsevier. 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
Principal Data Scientist employer: Elsevier
Contact Detail:
Elsevier Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist
✨Tip Number 1
Network with professionals in the pharmaceutical and biotech industries. Attend relevant conferences or webinars where you can meet potential colleagues and learn about the latest trends in data science applications within these sectors.
✨Tip Number 2
Showcase your leadership skills by discussing past experiences where you've led teams to deliver complex solutions. Be prepared to share specific examples of how you managed cross-functional teams and drove innovation.
✨Tip Number 3
Familiarise yourself with the technologies mentioned in the job description, such as Python, AWS Sagemaker, and Databricks. Consider working on personal projects or contributing to open-source projects that utilise these tools to demonstrate your hands-on experience.
✨Tip Number 4
Prepare to discuss how you would approach building relationships with technology users in the pharmaceutical industry. Think about strategies for understanding their challenges and how you can provide valuable insights based on your expertise.
We think you need these skills to ace Principal Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Principal Data Scientist role at Elsevier. Understand the key responsibilities and required skills, especially in AI/ML technology and data science.
Tailor Your CV: Customise your CV to highlight relevant experience that aligns with the job requirements. Emphasise your engineering background, hands-on experience with production systems, and any leadership roles you've held in delivering complex solutions.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and innovation. Mention specific examples of how you've engaged with stakeholders and led successful projects, particularly in the pharmaceutical industry.
Highlight Technical Proficiency: In your application, clearly outline your proficiency in Python and familiarity with other technologies mentioned in the job description, such as Java, AWS Sagemaker, and Databricks. This will demonstrate your technical fit for the role.
How to prepare for a job interview at Elsevier
✨Showcase Your Technical Expertise
As a Principal Data Scientist, you'll need to demonstrate your strong engineering background and hands-on experience with AI/ML technologies. Be prepared to discuss specific projects where you've implemented advanced data science solutions and how they contributed to the success of your team.
✨Highlight Collaboration Skills
Collaboration is key in this role. Share examples of how you've worked with cross-functional teams to identify innovation opportunities and lead development experiments. Emphasise your ability to engage with stakeholders at all levels, especially when presenting complex ideas to CxO level.
✨Prepare for Customer Engagement Scenarios
Since building relationships with technology users in the pharmaceutical industry is crucial, think about how you would approach understanding their challenges. Prepare to discuss how you can provide insights on IT trends that could benefit their operations.
✨Discuss Your Strategic Vision
The role involves contributing to technology strategy and roadmaps. Be ready to articulate your vision for integrating advanced data science and GenAI into production systems. Discuss any past experiences where you've successfully transitioned PoCs into production and the impact it had on the organisation.
