At a Glance
- Tasks: Lead AI and machine learning projects to transform health insurance and wellness experiences.
- Company: Vitality, a forward-thinking company redefining health through AI and data.
- Benefits: Competitive salary, bonus schemes, up to 12% pension match, and award-winning health insurance.
- Other info: Flexible working options and opportunities for mentorship and career growth.
- Why this job: Make a real impact on personalised health solutions while advancing your career in a dynamic environment.
- Qualifications: 5+ years as a data scientist with expertise in Python and SQL.
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!
Deep Expertise in Machine Learning, Data Science & Technical Tooling
Strategic Project Leadership & Business Impact Delivery
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.
- 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
Undergraduate degree in statistical subject
Considerable experience accessing and analysing data using SQL and Python
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
Demonstrable experience of working with the business to identify new projects
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
Great career opportunities!
Help you to be the healthiest you’ve ever been.
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.
Recognise and reward you with a competitive salary and amazing benefits.
Data Science Data Science Senior Data Scientist (Python) (Remote) in City of London employer: Vitality
Vitality is an exceptional employer that champions innovation and personal growth, offering a hybrid working model that promotes flexibility while fostering a collaborative environment in the heart of London. As a Senior Data Scientist, you will not only lead cutting-edge AI projects but also benefit from a robust support system that includes competitive bonuses, a generous pension scheme, and award-winning health insurance, all designed to help you thrive both personally and professionally. Join us to make a meaningful impact on the future of health insurance and wellness experiences, while enjoying a culture that values your contributions and encourages continuous improvement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Data Science Senior Data Scientist (Python) (Remote) in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Science Data Science Senior Data Scientist (Python) (Remote) in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with machine learning, Python, and any strategic project leadership you've done. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our mission at Vitality. Be sure to mention specific projects or experiences that showcase your expertise.
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's building models or leading data science initiatives, we love seeing real-world examples of your work and impact.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining the StudySmarter team!
How to prepare for a job interview at Vitality
✨Know Your Stuff
Make sure you brush up on your machine learning and data science knowledge, especially in Python. Be ready to discuss specific projects you've worked on, the models you've built, and how they impacted the business. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Leadership Skills
As a Senior Data Scientist, you'll need to demonstrate your ability to lead projects and mentor others. Prepare examples of how you've successfully managed data science projects, influenced stakeholders, and fostered collaboration within teams. Highlighting these experiences will set you apart.
✨Communicate Clearly
Vitality values clear communication, especially when it comes to complex data insights. Practice explaining your work in simple terms, focusing on how your solutions can drive business impact. This will help you connect with non-technical stakeholders during the interview.
✨Emphasise Ethical AI Practices
With a focus on responsible AI, be prepared to discuss how you've approached ethical considerations in your previous projects. Share your thoughts on governance and risk management in AI, and how you ensure compliance with safety and regulatory standards. This shows you're aligned with Vitality's values.
