Head of VitalityLife Data Science

Vitality
London, England
22 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Forward Deployed Engineer

SolveAI London, United Kingdom
Hybrid
Spotlight

Machine Learning Engineer (Forward Deployed)

Mind Foundry Oxford/ Hybrid, Oxfordshire, United Kingdom

Head of International Tax 15 months

Ocado Welwyn Hatfield, United Kingdom
On-site

Head of EMEA Product Partnerships

OpenAI London, United Kingdom
Hybrid

Head of Medicinal Chemistry, Drug Design, London

Isomorphic Labs London, United Kingdom
On-site

Head of Integrations

Luminance Cambridge, United Kingdom
Hybrid

Head of Asset Management

Faculty AI London, United Kingdom
On-site

Head of AI Assurance

Faculty AI London, United Kingdom
On-site Clearance Required
Posted
11 Aug 2024 (22 months ago)

Team – Data Science

Working Pattern -Hybrid – 2 days per week in the Vitality London Office. Full time, hours per week. 

What this role is all about:

The Head of VitalityLife Data Science is a leadership position in Vitality’s data science department and is responsible for:

Overseeing activities of several junior data scientists / actuaries to ensure proper execution of duties and alignment with the overall vision of the business The creation of new data science capabilities for the business by developing and executing strategies that will enable informed choice making to improve the performance of the business Proactively working and supporting business executives and various departmental heads to provide advanced analytic data modelling systems Designing and launching innovative and complex analytical models, utilising a blend of state-of-the-art and traditional machine learning techniques, which is applied to both structured and unstructured data sets

Key Actions

Play a leading role in the development and design of the departmental vision, capabilities, infrastructure, and quarterly/annual roadmap for the launch of data science capabilities across VitalityLife Manage and support junior data science team members and oversee all activities ensuring alignment with departmental and business-wide vision and strategies Scope, design, and implement machine learning models to support the numerous initiatives of the business and demonstrate the impact to the bottom line of the business Manage live models (monitoring MLOps and model performance) and taking initiative to refit and calibrate to latest experience to continue to deliver optimal business value Work closely with other Data and Analytics Teams, inclusive of data warehousing and data engineering teams, in creating data science applications through the utilisation of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniques Draft regular reports for senior management on departmental performance and present recommended models and departmental strategies for approval Maintain a deep understanding of the business’s dynamics and take initiative to conduct exploratory data analyses and experimental designs.  Help the business better understand trends and behaviour of customers, and settle on the most suitable strategies to drive business value Drive education and evangelisation of data science throughout the business by communicating the vision and use cases of data science projects

Essential Skills needed to fulfil this role:

* Qualified Actuary with experience in Life Insurance would be a key advantage Demonstrable working experience in a data science position, preferably working as a Senior Data Scientist. (Candidates without substantial prior data science experience will not be considered) Educated to a degree level in relevant subject (computing, programming, mathematics, statistics, actuarial science, or another technical field) Highly skilled in statistical, modelling and scripting programming languages such as Python and R, or similar, as well as visualisation packages Expert in data management programming such as SQL Experience bringing predictive models into a production environment Possess vast experience and expertise of working with probability and statistics, inclusive of machine learning, experimental design, and optimisation Experience using Gradient Boosting Machines, Random Forest, Neural Network or similar algorithms Proven and successful track record of leading high-performing data analyst teams through the successful performance of advanced quantitative analyses and statistical modelling that positively impact business performance Practical experience of building and implementing machine learning models to solve business problems Able to disseminate business-critical information down the line to ensure proper execution of duties by data scientists in their team Strong knowledge of Microsoft Office toolsSo, what’s in it for you?Bonus Schemes – A bonus that regularly rewards you for your performance A pension of up to 12%– We will match your contributions up to 6% of your salary Our award-winning Vitality health insurance – With its own set of rewards and benefits Life Assurance – Four times annual salary

These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities!

If you are successful in your application and join us at Vitality, this is our promise to you, we will:Help you to be the healthiest you’ve ever been. Create an environment that embraces you as you are and enables you to be your best self. Give you flexibility on how, where and when you work. Help you advance your career by playing you to your strengths. Give you a voice to help our business grow and make Vitality a great place to be. Give you the space to try, fail and learn. Provide a healthy balance of challenge and support. Recognise and reward you with a competitive salary and amazing benefits. Be there for you when you need us. Provide opportunities for you to be a force for good in society.

We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.

Industry Insights

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

Where to Advertise AI Jobs in the UK (2026 Guide)

Where to advertise AI jobs UK in 2026: the specialist boards and communities that reach AI engineers, ML scientists and applied research talent in the UK. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

AI Jobs UK 2026: What to Expect Over the Next 3 Years

AI Jobs UK 2026: roles, salaries and the generative AI, machine learning and applied AI hiring trends shaping UK artificial intelligence careers. Artificial intelligence is creating jobs faster than the market can name them. New roles are appearing every quarter, existing titles are splitting into specialisms, and the technologies underpinning it all are evolving at a pace that makes even last year's job descriptions feel dated. For job seekers, this presents a genuinely unusual challenge. In most industries, career planning means understanding a relatively stable landscape and working out where you fit within it. In AI, the landscape itself is being redrawn in real time. The roles with the most hiring activity in 2028 may not yet have a widely agreed job title in 2026. That's not a reason to feel overwhelmed — it's a reason to get informed. The candidates who thrive in this market aren't necessarily those with the longest CVs or the most credentials. They're the ones who understand the direction of travel: which skills are gaining value, which technologies are driving employer decisions, and how the definition of an "AI job" is expanding well beyond the tech sector. This article breaks down what the UK AI jobs market is likely to look like over the next three years — covering emerging job titles, the technologies reshaping hiring, the skills employers are prioritising, and how to position yourself ahead of the curve rather than behind it.