At a Glance
- Tasks: Design and deploy innovative AI applications using cutting-edge technologies.
- Company: Join Vitality, a multi-award-winning UK insurance brand focused on health and happiness.
- Benefits: Enjoy competitive salary, bonus schemes, health insurance, and a pension plan.
- Why this job: Make a real impact in a supportive environment that values your growth and well-being.
- Qualifications: Expertise in AI/ML, production deployment, and business partnering required.
- Other info: Flexible working options and a commitment to diversity and inclusion.
The predicted salary is between 60000 - 80000 £ per year.
Team – 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:
- Expert AI/ML Skills – Strong in both traditional ML and modern LLM/RAG/agentic workflows
- Production Deployment & MLOps – Comfortable shipping scalable AI systems using APIs, microservices, Docker/Kubernetes, and cloud (GCP ideal)
- Business Partnering – Able to translate business needs into clear technical requirements and work across teams
What this role is all about:
At Vitality, data scientists and AI Engineers develop and deploy innovative AI applications spanning the entire value chain of our business, including marketing, sales & retention, underwriting, claims, health and wellness management, customer service, and fraud. The Data Science function is recognised as a core driver of strategic value within the business, with a high-profile and strong support allowing the team to confidently take on and deliver transformational projects.
We are seeking highly skilled AI Engineers to join our growing team. You will design, develop, and deploy AI-driven applications leveraging both traditional machine learning and LLM based applications. The role involves building internal and external AI solutions such as Retrieval-Augmented Generation (RAG) systems, chatbots, and voice-based customer service platforms, all deployed on Google Cloud Platform (GCP). You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable, and production-ready AI solutions.
Key Actions:
- Stay current with advancements in LLM frameworks, agentic SDKs, and cloud-native AI deployment
- Work with the business to gather business requirements for new AI applications
- Design and implement AI applications
- Deploy AI applications into production environments on a Google Cloud Platform
- Collaborate with cross-functional teams to integrate AI applications with Enterprise systems
- Optimise models for performance, scalability, and cost-efficiency
What do you need to thrive?
- Demonstrable experience of working with the business to create a detailed set of project requirements
- Strong foundation in traditional machine learning (classification, regression, etc.)
- Hands-on experience with LLM-based applications
- Experience building RAG systems and agentic workflows that leverage external tools
- Familiarity with agentic SDKs (ADK, LangChain, LlamaIndex, etc.)
- Proven track record of deploying AI applications into production environments
- Strong understanding of API development, microservices, and containerization (Docker, Kubernetes)
- Knowledge of MLOps best practices
- Excellent problem-solving skills and ability to work in a fast-paced environment
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 Company:
We'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.
Diversity & Inclusion:
At Vitality, we're committed to diversity and inclusion because it's good for our employees, for our business, and for society. We welcome applications from individuals of all backgrounds, experiences, and perspectives.
Vitality's approach to sustainability:
Vitality is a business that drives positive change. We reward people for making and sustaining healthier choices. But healthy people also need a healthy environment.
Senior Data Scientist - 12 Month FTC employer: Vitality
Contact Detail:
Vitality Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - 12 Month FTC
✨Tip Number 1
Network like a pro! Reach out to current employees at Vitality on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your AI/ML skills. Be ready to discuss your experience with LLMs and MLOps, and think of examples where you've successfully deployed AI applications.
✨Tip Number 3
Show off your business partnering skills! Be prepared to explain how you've translated business needs into technical requirements in past projects. This will demonstrate your ability to work cross-functionally.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Vitality team.
We think you need these skills to ace Senior Data Scientist - 12 Month FTC
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your AI/ML expertise and any relevant projects you've worked on, especially those involving GCP or MLOps.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've translated business needs into technical solutions and your experience with deploying AI applications.
Showcase Your Technical Skills: Don’t shy away from listing your technical proficiencies! Mention your hands-on experience with LLMs, Docker, Kubernetes, and any agentic SDKs you’ve used. We want to see your technical prowess shine through!
Apply Through Our Website: We encourage you to apply directly through our careers page. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Vitality!
How to prepare for a job interview at Vitality
✨Master the Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially GCP, Docker, and Kubernetes. Brush up on your AI/ML skills, particularly around LLMs and RAG systems, as these will likely come up during technical discussions.
✨Showcase Your Business Acumen
Prepare to discuss how you've translated business needs into technical requirements in past roles. Think of specific examples where your work directly impacted business outcomes, as this will demonstrate your ability to partner effectively with cross-functional teams.
✨Practice Problem-Solving Scenarios
Expect to tackle some real-world problem-solving scenarios during your interview. Practise articulating your thought process clearly and logically, as this will showcase your analytical skills and ability to work under pressure.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and how success is measured in the role. This not only shows your interest but also helps you gauge if the company culture aligns with your values.