Job Detail

Data Scientist - AI and Machine Learning

Data Science and AI Full–time
ID: #12260
Posted: 2026-03-18
Salary

Description

About The RoleTeam - Data Science Working Pattern - Hybrid - 2 days per week in the Vitality London Office. Full time, 37.5 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: • Strong hands-on experience with Python, SQL, and core machine learning algorithms • Ability to deliver end-to-end data science workstreams • Clear communication and stakeholder collaboration skills What this role is all about:Vitality is entering a new era powered by Vitality AI, where intelligence, data, and personalisation come together to redefine how we help our members live healthier, happier, longer lives. As a Data Scientist, you will contribute to designing, building, and deploying machine learning and AI solutions that sit at the heart of Vitality's transformation. Your work will help shape the next generation of personalised health insurance and wellness experiences, contributing to embedding AI safely, responsibly, and at scale across the organisation.Key Actions • Contribute to Advanced AI and Machine Learning Development: Support delivery of the machine learning lifecycle, including data ingestion, exploration, feature engineering, modelling, evaluation, and assisting with deployment and monitoring • Help Drive Innovation and Shape AI Opportunities: Identify where analytics or machine learning can improve business performance or member value • Deliver High-Impact Project Work: Own well-defined workstreams within larger projects, delivering high-quality outputs that support commercial or customer outcomes • Engage Stakeholders and Support AI Adoption: Work with teams across actuarial, operations, product, engineering, commercial, and clinical areas to understand needs and help shape solutions • Contribute to Developing the Data Science Community: Participate in knowledge sharing sessions, workshops, and learning initiatives • Support Responsible AI, Governance, and Risk Management: Apply responsible AI principles and follow model governance frameworks • Collaborate to Scale AI Platforms and Infrastructure: Work with engineering and ML teams to deploy models and monitor them in production • Maintain, Improve, and Operate Models in Production: Monitor model performance using defined KPIs and raise issues when thresholds are breached What do you need to thrive? • Undergraduate degree in a numerical subject • Strong knowledge of Microsoft Office tools • Extensive experience accessing and analysing data using SQL and Python • Experience in contributing and managing a shared code repository (e.g. Github, Bitbucket) • Expertise in using commonly used regression and classification algorithms • Experience (2-5 years) working as an associate/graduate data scientist or data scientist So, 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.About The CompanyWe're incredibly proud to be recognised for the culture we've created - recently being named one of Glassdoor's Best Places to Work 2026, and in 2024 we were delighted to be awarded Top 10 Places to Work in the Sunday Times Awards.Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.We've been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives - they benefit, our business benefits, and society benefits. We're successful because we attract, develop, and retain the best people - and because we care.Plus, you get to join our 1.7+ million members with access to our unique health insurance and healthy living programme. Just to make sure you know our products inside and out.Ready to find out if we're the right fit for you? We can't wait.If we are fortunate in receiving a high volume of quality applications we may need to close this vacancy early. If you are interested, please submit your application as soon as possible.

Hard Skills 15
Skill Source Confidence
Feature Engineering llm_hard
100%
Python llm_hard
100%
SQL llm_hard
100%
Supervised Learning llm_hard
100%
Unsupervised Learning llm_hard
100%
Classification Algorithms llm_hard
100%
Regression Algorithms llm_hard
100%
Neural Networks llm_hard
100%
Deep Learning llm_hard
100%
Large Language Models (LLMs) llm_hard
100%
Model Performance Optimization llm_hard
80%
Data Pipelines llm_hard
80%
Model Deployment llm_hard
80%
MLOps llm_hard
80%
GitHub llm_hard
80%
Soft Skills 5
Skill Source Confidence
Verbal Communication llm_soft
100%
Stakeholder Communication llm_soft
100%
Teamwork llm_soft
100%
Collaboration llm_soft
100%
Technical Writing llm_soft
80%
Apply Options
Publisher Direct Link
Jobs For Stevenage Fans No Apply
SaluteMyJob No Apply
Talents By StudySmarter No Apply
Edinburgh City FC No Apply
KSNT Jobs No Apply
KGET Jobs No Apply
Aspire Media Group Jobs No Apply
TopDorsetCareers No Apply
Jobs For Stevenage Fans No Apply
API Logs for this Job
Query Country Status Response ms Created
Data Scientist - AI and Machine Learning extracted 8871 2026-03-22 03:14
Data Scientist - AI and Machine Learning classified 443 2026-03-21 21:16
graduate data scientist in London gb processed 8521 2026-03-21 17:19
Raw JSON
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