Are you a data-driven senior leader, passionate about creating insights?
Would you like to work with our complex data-sets?
About The Team
Elsevier is one of the world’s leading publishers of trusted scientific, technology, and medical content. Building on that foundation of content, we leverage data science and AI to deliver knowledge and analytics products that advance science and improve healthcare outcomes. Therefore, an efficient, streamlined, and optimized data science development process is key to sustaining innovation and business growth, especially with the opportunities ahead with GenAI. Elsevier is committed to adhere to our RELX Responsible AI Principles, for the development and deployment of all of our AI solutions.
About the Role
As Elsevier’s Chief Data Scientist, you will lead a high-impact team of data scientists to solve complex, real-world business challenges across Elsevier’s diverse portfolio. In this strategic leadership role, you will be responsible for shaping the company’s applied data science strategy, partnering with business leaders to drive measurable outcomes. This role reports to the Chief Technology Officer for Elsevier.
Responsibilities

Strategy and Leadership:

• Defines and drives the applied data science and data science AI strategy in support of Customer segment strategies to drive value for Elsevier users and customers
• Contributes to Product/Solution roadmaps to enable Elsevier wide profitable growth and customer satisfaction, assesses and advises on how goals are best achieved
• Relentlessly evaluates existing practices to ensure they remain relevant and high quality for customers at sustainable cost
• Acts as a trust advisor and thought partner to the Chief Product Officer, Chief Design Officer, Chief Technology Officer and Customer Segment Presidents

Planning, Prioritisation and Performance

• Builds DS capabilities and capacity, re-using where appropriate to be able to effectively address all user journeys of the communities we serve
• Ensure the effective deployment and integration of Data Science resources into the Elsevier Tech/Product delivery model ensuring adherence to Product Life Cycle best practice and agile ways of working
• Foster a high-performance, collaborative, and innovative culture where activities and outcomes are closely monitored

Innovation

• Partners closely with Product and Technology to deliver high-impact innovation and differentiation across new and existing customer solutions to meet future needs
• Translates research into customer deliverables bridging academic research to production- ready business applications
• Leads the implementation of Responsible AI principles across the product lifecycle, ensuring fairness, transparency, and ethical use of AI technologies
• Scans the market for emerging data science to ensure Elsevier remains competitive and where required market leading
• Drive continuous improvement, ensure outcomes and learning of evaluation is actioned and shared across the Data Science community

Talent Management

• Foster an attractive and innovative destination for world class Data Science talent. Strengthens the leadership, talent and capabilities of the Data Science team to meet the needs of customers

Technical Requirements:

• Proven experience in leading large-scale data science and AI initiatives within a complex organization
• Strong strategic thinking and ability to translate business needs into innovative data science solutions and academic research into practical business application
• Expertise in AI, machine learning, large language models, and emerging capabilities like Reasoning Models and Agents
• Knowledge of governance standards, regulatory environments, and best practices in data science and AI

Behavioural Requirements

• Drive Commercial Edge: Delivers sustainable results, leads the thinking and drives the execution
• Prioritises Customers: Demonstrated ability to deeply understand customers and build solutions solving for their needs
• Enable Winning Teams: Demonstrated ability to build and lead high performing, embedded applied data science teams delivering real world impact to customers
• Communicate Impactfully: Excellent stakeholder management and communication skills

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 flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

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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• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productiv