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For Companies At a Glance
- Tasks: Lead innovative AI projects and collaborate with teams to deliver impactful solutions.
- Company: Elsevier is a global leader in information and analytics, enhancing science and healthcare.
- Benefits: Enjoy generous holidays, health perks, study assistance, and flexible work options.
- Why this job: Make a difference in healthcare while working in a collaborative and innovative environment.
- Qualifications: Strong engineering background in AI/ML, coding skills, and experience in team leadership required.
- Other info: Join a mission-driven team focused on sustainability and societal impact.
The predicted salary is between 43200 - 72000 £ per year.
About Our Team
Life Sciences Solutions serve clients in the pharmaceuticals and biotech, medical technology, chemicals, oil & gas, FMCG industries and more. We also serve educators and students in chemistry and health sciences. These clients change the world by fighting disease, improving patient safety, and developing novel materials in ever more sustainable ways. We enable evidence-based decision making and improved productivity through our unique expertise in curating, enriching, integrating and harmonizing scientific data assets. 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 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 to collaborate.
- Innovation: Innovate hands-on with solution 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 technology leader, work with Product, Data Science & other technology teams to drive solution delivery and facilitate 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
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.
Principal Applied Data Scientist employer: Elsevier
Contact Detail:
Elsevier Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Applied Data Scientist
✨Tip Number 1
Network with professionals in the life sciences and data science fields. Attend industry conferences, webinars, or local meetups to connect with potential colleagues at Elsevier. Building relationships can give you insights into the company culture and may even lead to referrals.
✨Tip Number 2
Stay updated on the latest trends in AI and machine learning, particularly in the context of life sciences. Follow relevant publications, blogs, and thought leaders on platforms like LinkedIn to demonstrate your knowledge during interviews.
✨Tip Number 3
Prepare to discuss your hands-on experience with AI/ML technologies and how you've successfully implemented them in past projects. Be ready to share specific examples that highlight your problem-solving skills and ability to work in cross-functional teams.
✨Tip Number 4
Familiarise yourself with Elsevier's products and services, especially those related to life sciences. Understanding their offerings will help you articulate how your skills and experiences align with their goals and how you can contribute to their mission.
We think you need these skills to ace Principal Applied Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Principal Applied Data Scientist position. Tailor your application to highlight how your skills and experiences align with the specific needs of Elsevier.
Highlight Relevant Experience: In your CV and cover letter, emphasise your hands-on experience with AI/ML technologies and any leadership roles you've held. Provide concrete examples of projects where you've successfully implemented data science solutions, especially in a collaborative environment.
Showcase Technical Skills: Clearly list your technical proficiencies, particularly in Python and any other relevant languages or technologies mentioned in the job description. If you have experience with platforms like AWS Sagemaker or Databricks, make sure to include that as well.
Craft a Compelling Cover Letter: Use your cover letter to tell a story about your passion for data science and how it can contribute to Elsevier's mission. Discuss your understanding of the pharmaceutical industry and how your expertise can help drive innovation and improve health outcomes.
How to prepare for a job interview at Elsevier
✨Showcase Your Technical Expertise
As a Principal Applied 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 highlight your proficiency in coding languages like Python and Java.
✨Emphasise Collaboration Skills
Collaboration is key in this role, so be ready to share examples of how you've worked across teams to achieve common goals. Discuss your experience in leading cross-functional teams and how you’ve engaged with stakeholders at various levels, especially in the pharmaceutical industry.
✨Prepare for Problem-Solving Scenarios
Expect to face problem-solving scenarios during the interview. Think about how you would approach fast-moving Proof of Concepts (PoCs) and be ready to explain your thought process. Highlight your ability to innovate and validate ideas with customers, as this will be crucial for the role.
✨Stay Updated on Industry Trends
Being knowledgeable about the latest trends in data science and technology is essential. Research current advancements in AI/ML and be prepared to discuss how these can impact the business. This shows your commitment to continuous learning and your ability to contribute to strategy and roadmaps.
