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- Tasks: Lead AI and machine learning projects to transform health insurance and wellness experiences.
- Company: Vitality, a forward-thinking company focused on health and wellbeing.
- Benefits: Competitive salary, bonus schemes, health insurance, pension contributions, and flexible working.
- Why this job: Shape the future of personalised health with cutting-edge AI solutions.
- Qualifications: 5+ years as a data scientist with expertise in machine learning and stakeholder engagement.
- Other info: Join a supportive environment that values your growth and wellbeing.
The predicted salary is between 36000 - 60000 £ 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:
- Deep Expertise in Machine Learning, Data Science & Technical Tooling
- Strategic Project Leadership & Business Impact Delivery
- High Level Stakeholder Engagement & Communication
What this role is all about:
Vitality is entering a new era powered by Vitality AI. This is where intelligence, data, and personalisation come together to redefine how we help our members live healthier, happier, longer lives. As a Senior Data Scientist, you will play a pivotal role in designing, building, and executing advanced 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. You will be instrumental in embedding AI safely, responsibly, and at scale across the organisation.
Key Actions:
- Lead advanced AI and machine‑learning development, delivering the full model lifecycle and building scalable, explainable, production‑ready solutions
- Develop cutting‑edge models including recommender systems, generative AI, reinforcement learning and other advanced techniques, ensuring high ethical and governance standards
- Drive innovation and shape the Vitality AI roadmap by identifying high‑value opportunities, rapidly prototyping ideas, and contributing to reusable frameworks and tooling
- Own end‑to‑end delivery of high‑impact, strategic AI projects, translating complex business needs into measurable solutions and managing multiple workstreams effectively
- Engage and influence stakeholders across the business, clearly communicating insights and building strong relationships to support AI adoption
- Mentor and develop data scientists, steering knowledge‑sharing, capability‑building and fostering a culture of excellence and continuous improvement
- Champion responsible AI, governance and risk management, identifying risks early and ensuring all models meet safety, regulatory and ethical requirements
- Collaborate with engineering teams to scale AI platforms and infrastructure. Deploying models using modern ML practices and contributing to shared tools such as feature stores, pipelines, and monitoring systems
What do you need to thrive?
- Undergraduate degree in statistical subject
- Considerable experience accessing and analysing data using SQL and Python
- Significant experience using commonly used regression and classification algorithms
- Experience (5+ yrs) working as a data scientist
- Expert in the process of building and implementing machine learning models to solve business problems
- Taken a lead role in the management of data science projects
- Communicates effectively to technical and non-technical audiences at all levels of the organisation
- Demonstrable experience of working with the business to identify new projects
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.
Senior Data Scientist in Slough employer: Vitality
Contact Detail:
Vitality Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in Slough
✨Tip Number 1
Network like a pro! Reach out to current employees at Vitality on LinkedIn or through mutual connections. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your machine learning knowledge. We recommend creating a portfolio of your projects to showcase your skills. This will help us demonstrate our expertise in a tangible way.
✨Tip Number 3
Practice your communication skills! Since this role involves engaging with stakeholders, we should be ready to explain complex concepts in simple terms. Mock interviews with friends can really help us nail this.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us that you’re genuinely interested in being part of the Vitality team.
We think you need these skills to ace Senior Data Scientist in Slough
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your deep expertise in machine learning and data science. Use specific examples from your past work to demonstrate how you've successfully led projects and delivered business impact.
Tailor Your Application: Don’t just send a generic CV and cover letter! Tailor your application to reflect the key skills and experiences mentioned in the job description. This shows us that you’ve done your homework and are genuinely interested in the role.
Communicate Clearly: Since this role involves engaging with stakeholders, make sure your written communication is clear and concise. Avoid jargon where possible and explain complex concepts in a way that anyone can understand.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Vitality
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning knowledge, especially the algorithms and techniques mentioned in the job description. Be ready to discuss your experience with recommender systems, generative AI, and reinforcement learning. Prepare examples of how you've applied these in past projects.
✨Showcase Your Project Leadership
Since this role involves strategic project leadership, think about specific instances where you've led data science projects. Be prepared to explain how you managed multiple workstreams and delivered high-impact solutions. Highlight your ability to translate complex business needs into actionable insights.
✨Engage Stakeholders Effectively
Communication is key! Practice explaining technical concepts in a way that non-technical stakeholders can understand. Think of examples where you've successfully influenced stakeholders or built strong relationships to support AI adoption. This will show your ability to engage across the organisation.
✨Champion Responsible AI
Familiarise yourself with ethical AI practices and governance standards. Be ready to discuss how you've identified risks in previous projects and ensured compliance with safety and regulatory requirements. This will demonstrate your commitment to responsible AI, which is crucial for the role.