National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Head of VitalityLife Data Science

Vitality
London
10 months ago
Applications closed

Related Jobs

View all jobs

Head of AI Acceleration & Delivery

Head of Pricing Transformation

Head of Modelling and Optimisation

Head of Software Engineering

Head of Machine Learning - 3D Graphics

Head of Machine Learning

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.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.