Senior Principal Data Scientist

OptumUK
Birmingham
5 days ago
Create job alert

The Vacancy


Are you a Principal Data Scientist looking to join an organisation where what you do genuinely makes an impact? Where you are empowered, heard and able to think creatively? Then look no further because we are what you have been looking for!


We are looking for a Senior Principal Data Scientist with strong technical skills using either Python or R, experience leading teams and the ability to communicate with both technical and non-technical teams across the business.


This role sits within Optum UK Health Analytics team responsible for taking large data sets from various sources and converting them into meaningful insights on UK healthcare. You will play a key role in developing and implementing Optum UK’s data science capabilities in the UK. Integrated within the UK Product team, you will use artificial intelligence (AI) models to create new and augment existing products that solve important problems faced by the UK healthcare system.


We are a collaborative team, we work hard and are passionate about what we do, but we ensure we have fun along the way. If this sounds like something you want to be a part of then apply today!


What you’ll do


You will take ownership of the UK’s data science function, this will include providing strategic and technical direction, team building and communicating with senior stakeholders across the business.

Other key responsibilities and accountabilities will include;

  • Provide strategic and technical direction for UK Product AI initiatives, communicating technical concepts to non-technical stakeholders and building consensus from various stakeholders.
  • Develop, deploy and maintain advanced AI models to create new and augment existing products that solve important problems faced by the UK healthcare system.
  • Work with autonomy and in collaboration with other team members, including data scientists, analysts, developers, and clinicians, to contribute to the strategic goals of the UK Product team.
  • Manage multiple priorities and projects to meet tight deadlines within a heavily matrixed business environment.
  • Horizon scan for internal and external advances in AI that can be applied to the UK business.


Who you’ll be


We need you to demonstrate significant experience within data science.

We want you to have experience in either Python or R together with experience leading data science teams. You will also have solid experience of creating and implementing both the strategic and technical direction of those teams.

Being passionate about tech and keeping up to date with market and industry trends is key, as we want you to share your knowledge and use that to show us where you have made improvements that have had business benefit.


Other skills we are looking for you to demonstrate include:


  • Advanced degree in a quantitative discipline.
  • Strong programming skills in R and Python.
  • A well-rounded data science skill set including the ability to build/maintain predictive models and explain model processes/outputs.
  • Ability to communicate effectively with a wide range of stakeholders and build strong business relationships as a trusted partner.
  • Ability to deal with multiple priorities.
  • Astute attention to detail and the integrity to openly report errors in a timely fashion.
  • A passion for solving problems and making a difference with data science.
  • Experience of gathering requirements from, and documenting processes for, end users.
  • Experience in building and/or fine-tuning transformer-based AI models.
  • Experience of managing the demands and various stakeholders within a highly matrixed business environment.
  • Ability to build/maintain predictive models and explain model processes/outputs.


Desirable

  • PHD level qualification or equivalent



Sound like the role you have been looking for? The apply today to find out more!



Equality, Diversity, and Inclusion


At Optum UK, we are committed to providing an inclusive, equitable culture where people feel able to bring their whole selves to work and to reach their full potential. This is a foundation stone of Optum UK, anchoring the employee cycle from recruitment through to ongoing personal development and genuine, continuous two-way employee engagement, supported by our company values which determine everything we do.


Optum UK is an equal opportunities employer, and we welcome applications from all suitably qualified candidates regardless of race, colour, religion, sex, sexual orientation, gender identity or expression, national or ethnic origin, age, disability, protected veteran status, or other characteristics protected by applicable law. We will always work to accommodate individual needs during your application journey. If you require any adjustments, please advise the talent team.

Related Jobs

View all jobs

Senior Principal Data Scientist

Senior Principal Data Scientist

Senior Principal Data Scientist

Principal Data Scientist

Senior Data Engineer

Principal Software Engineer

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.