Lead Data Scientist

Bupa
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Job Description:

Lead Data Scientist

Location: London EC2R 7HJ, Salford M50 3SP, Staines TW18 3DZ

Hybrid working options – ideally 1–2 days per week in office

Permanent

Salary range: £60,000 - £80,000 (depending on experience & location) + 10% Bonus

Full time: Scheduled 37.5 hours per week

We make health happen


At Bupa, we’re passionate about using technology to make a meaningful difference. With our colleagues, customers, patients, and residents at the heart of everything we do, you’ll have the opportunity to lead innovative, high-impact projects that span our entire organisation.


As part of our ambitious 2027 strategy, you’ll join a growing Data Science team focused on implementing modern data science and MLOps standards while upholding ethical and responsible practices.


In this leadership role, you’ll be responsible for delivering AI and ML solutions that drive measurable business outcomes, while mentoring others and helping shape the future of data science at Bupa.


How you’ll help us make health happen

Lead the design, development, and delivery of AI and machine learning solutions that support commercial growth and improve customer outcomes across Bupa’s businesses.

Manage and mentor a team of data scientists, fostering a collaborative, high-performing environment focused on innovation, quality, and continuous improvement.

Own the delivery of end-to-end AI and GenAI projects—from business case development and stakeholder engagement to model deployment and monitoring.

Drive the adoption of cloud-native tools and scalable ML infrastructure, ensuring solutions are robust, secure, and production-ready.

Own the relationship and work in close proximity with business units in order to identify opportunities, shape project roadmaps, and ensure high quality outcomes which align with business priorities and Bupa’s Responsible AI Framework.

Work with multi-modal data sources (e.g. electronic health records, clinical notes, imaging data, wearable sensor data) to develop impactful, ethical AI solutions.

Act as a thought leader and data evangelist, sharing knowledge across Bupa’s global data science community and promoting best practices in AI, MLOps, and responsible innovation.

Ensuring full compliance with regulatory frameworks and standards relevant to the health insurance sector (e.g., GDPR, DPA) as well as proactively aligning Bupa’s Responsible AI Framework.

Contribute to the strategic direction of the Data Science function, helping to define goals, measure impact, and support the growth of the team.

Key Skills / Qualifications Needed for This Role

Extensive experience leading with a strong track record of delivering impactful machine learning solutions in a healthcare, clinical, insurance, or dental setting.

Deep technical expertise in AI/ML, including hands-on experience with SQL, Python, and cloud platforms such as Azure, GCP, or Snowflake.

Demonstrated experience delivering end-to-end AI and GenAI projects, including model design, development, deployment, and monitoring in production environments.

Strong understanding of cloud-native ML infrastructure, MLOps practices, and scalable architecture design.

Excellent communication and stakeholder management skills, with the ability to influence and collaborate across technical and non-technical teams.

Experience working in an agile environment, preferably with familiarity using Azure DevOps tools such as Boards, Repos, and Pipelines to manage workflows and collaborate effectively.

Passion for ethical AI, with a commitment to applying Bupa’s Responsible AI Framework in all aspects of solution development and delivery.

Benefits

Our benefits are designed to make health happen for our people. Viva is our global wellbeing programme and includes all aspects of our health – from mental and physical, to financial, social and environmental wellbeing. We support flexible working and have a range of family friendly benefits.

Joining Bupa in this role you will receive the following benefits and more:

• 25 days holiday, increasing through length of service, with option to buy or sell

• Bupa health insurance as a benefit in kind

• An enhanced pension plan and life insurance

• Annual performance-based bonus

• Onsite gyms or local discounts where no onsite gym available

• Various other benefits and online discounts

Why Bupa?

We’re a health insurer and provider. With no shareholders, our customers are our focus. Our people are all driven by the same purpose – helping people live longer, healthier, happier lives and making a better world. We make health happen by being brave, caring and responsible in everything we do.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.