Head of Data Science and Analytical AI Delivery
Full‑time, Permanent
Hybrid role – based from either Bristol or London
The Role
As Head of Data Science and Analytical AI Delivery, you will lead the design and delivery of AI solutions that improve patient outcomes, optimise operations and support clinical decision‑making. You will shape the AI and analytics strategy across areas such as diagnostic imaging, clinical risk, patient journeys and practice performance. Working across clinical, operations, product and tech, you will ensure solutions are accurate, compliant and deliver real value. As part of the D&A leadership team, you will influence how we use data and AI across BDC, driving impactful, ethical and scalable initiatives.
This role combines strategy and hands‑on delivery, requiring strong technical leadership, stakeholder influence and the ability to build and develop a high‑performing team.
Responsibilities
Define and lead the Analytical AI strategy, supporting clinical outcomes, operations and patient experience
Work closely with Data, Tech and the wider business, influencing at senior level across BDC and the Market Unit
Lead and develop a multidisciplinary team, building capability, career pathways and a strong delivery culture
Collaborate with stakeholders to shape priorities, roadmaps and commercially impactful solutions
Act as the AI ambassador, driving understanding, adoption and value across the business
Set the vision and operating model for AI and advanced analytics, aligned to clinical, operational and commercial goals
Drive a data‑led culture and embed AI into decision making
Bring external insight and best practice, and develop strong partnerships across industry
Ensure responsible, ethical and scalable AI delivery
Own end‑to‑end delivery of AI solutions (forecasting, optimisation, predictive models, etc.)
Ensure solutions are scalable, secure and aligned to governance and regulatory standards
Lead best practice across MLOps, model governance and lifecycle management
Work with complex healthcare data to deliver meaningful, real‑world impact
Skills & Experience
Essential
Strong technical background in AI/ML (Python, SQL, cloud – Azure/GCP/Snowflake)
Experience with MLOps, scalable ML infrastructure and model governance
Strong stakeholder management – able to influence both technical and non‑technical audiences
Experience working closely with business teams, aligning AI solutions to priorities
Experience building and developing data teams, including capability frameworks
Curious, adaptable, accountable, with a focus on continuous improvement
Desirable
Able to communicate complex AI concepts to senior stakeholders
Experience leading cross‑functional teams and remote teams
Experience delivering AI/ML solutions in healthcare / regulated environments
Exposure to complex healthcare data (e.g. clinical, imaging)
Agile delivery experience (e.g. Azure DevOps)
Passion for ethical AI and working within governance frameworks
Strategic mindset with a focus on growth and innovation
Relevant degree (e.g. Data Science, AI, Computer Science)
Benefits
25 days holiday, plus the option to buy more
Bonus scheme
Discounts in over 7,000 retailers, discounted gym membership
Health Trust – our bespoke employee private healthcare plan, providing cover with no medical underwriting for colleagues and their families
Access to remote GP and nurse services, physiotherapy, and mental health support
MyHealthcare allowance – annual allowance redeemable against a menu of Bupa products
Early access to your earned wages through Wagestream
Cycle to work scheme
And many more – just ask
Equal Opportunity & Disability Confidence
Bupa Dental Care is an equal opportunities employer.
Bupa takes pride in being a Level 2 Disability Confident Employer and will aim to offer an interview/assessment to disabled applicants who best meet the minimum criteria for the role. We are committed to ensuring you are treated fairly during the recruitment process and offer reasonable adjustments to anyone who may benefit from accommodations to the recruitment process.
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