At a Glance
- Tasks: Lead AI and data science strategy to create impactful, scalable solutions.
- Company: Join a global team focused on innovation in electronic health records.
- Benefits: Flexible hours, wellbeing initiatives, study assistance, and sabbaticals.
- Other info: Collaborative culture with opportunities for personal and professional growth.
- Why this job: Shape the future of AI while making a real difference in healthcare.
- Qualifications: Experience in data science, AI/ML, and strong leadership skills required.
The predicted salary is between 80000 - 98000 £ per year.
Are you motivated to shape AI and data science strategy that drives meaningful impact across products, customers, and business outcomes? Would you enjoy leading teams to build advanced AI systems that power knowledge discovery and innovation at scale?
About our Team
Our global team supports products that educate electronic health records that introduce students to digital charting and prepare them to document care in today's modern clinical environment. We have a very stable product that we've worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality.
About the Role
In this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation to production, while aligning work to product goals and customer needs. You will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organization.
Responsibilities
- Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities.
- Lead and develop high-performing teams by coaching talent, setting priorities, fostering scientific rigor, and building an inclusive, collaborative culture.
- Deliver advanced AI and knowledge-discovery systems across the full lifecycle, from experimentation through production, including LLMs, RAG, search, and domain-enriched AI solutions.
- Drive evaluation and AI quality by establishing robust frameworks, metrics, experimentation practices, and responsible AI standards.
- Influence across product, technology, and business by partnering with cross-functional leaders, shaping roadmaps, translating technical insights, and aligning teams on customer and business impact.
Requirements
- Significant experience in data science, AI/ML, NLP, information retrieval, statistics, or a related quantitative field, or equivalent practical experience.
- Strong technical expertise across modern data science methods, including machine learning, experimentation, deep learning, generative AI, and production AI systems.
- Hands-on experience delivering AI-powered products, including LLMs, RAG, semantic search, embeddings, agentic workflows, and knowledge-driven systems.
- Proven success leading and developing technical teams in complex product, platform, or research environments.
- Experience working with large, complex datasets and building scalable, maintainable, production-ready AI/ML systems.
- Strong people leadership, prioritization, communication, and stakeholder management skills, with the ability to turn ambiguity into clear strategy and measurable outcomes.
Work in a Way That Works for You
We promote a healthy work/life balance across the organization. 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 Pattern
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.
Data Science Lead/Manager employer: Elsevier Inc.
Join a forward-thinking company that prioritises innovation and collaboration, where as a Data Science Lead/Manager, you will have the opportunity to shape AI strategies that make a real difference in healthcare education. Our inclusive work culture fosters professional growth through mentorship and flexible working arrangements, ensuring a healthy work/life balance while you lead high-performing teams to deliver impactful AI solutions. With a commitment to employee wellbeing and continuous learning, this is an excellent place for those looking to advance their careers in a meaningful way.
