At a Glance
- Tasks: Develop AI solutions and collaborate on innovative projects in the insurance sector.
- Company: Join Vitality, a multi-award-winning UK insurance brand with a vibrant culture.
- Benefits: Enjoy competitive salary, bonus schemes, health insurance, and flexible working options.
- Other info: Be part of a diverse team committed to positive change and continuous learning.
- Why this job: Make a real impact with cutting-edge AI technologies while growing your career.
- Qualifications: STEM degree, Python skills, and a passion for AI and machine learning.
The predicted salary is between 63000 - 77000 £ per year.
About The Role
Team: Data Science and AI
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:
- Proven Python Development
- Demonstrated Machine Learning Foundations
- Emerging Generative AI Expertise
What this role is all about:
We are looking for an Associate Data Scientist (AI Engineer) to help develop and deliver AI solutions across the insurance value chain. Working as part of a growing Data Science team, you'll collaborate with data scientists, engineers and business stakeholders to build machine learning models, GenAI applications, AI assistants and customer-facing tools. This role offers the opportunity to work on a diverse range of AI initiatives, develop practical experience in deploying solutions at scale and contribute to projects that create measurable impact across the business.
Key Actions:
- Contribute to gathering and defining requirements for new AI solutions
- Design, build and deploy AI-driven applications across the insurance value chain
- Develop machine learning and Generative AI models to address business challenges
- Support the delivery of AI Assistants, RAG solutions and voice-enabled platforms
- Collaborate with data engineers, software engineers, architects and business stakeholders
- Integrate AI applications with enterprise systems and cloud-based technologies
- Optimise models and applications for performance, scalability and cost efficiency
- Develop, test and maintain solutions using Python and modern AI frameworks
- Research emerging AI technologies and apply relevant innovations to business use cases
- Work closely with senior data scientists to support project delivery and professional development
- Contribute to the continuous improvement of AI engineering standards and best practices
- Support the deployment and monitoring of AI applications on Google Cloud Platform
What do you need to thrive?
- STEM degree or equivalent foundation in data science
- Demonstrable passion for AI and emerging technologies
- Python programming capability
- Understanding of machine learning principles and techniques
- Exposure to Generative AI applications and tools
- Collaborative approach with cross-functional teams
- Willingness to learn from experienced data science professionals
- Curiosity to explore new AI frameworks and innovations
- Interest in cloud-based technologies and AI deployment
- Commitment to continuous professional development and growth within AI engineering
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:
- 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 and 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.
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. To learn more please visit our Careers page.
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.
Associate Data Scientist employer: Vitality Corporate Services Limited
At Vitality Corporate Services Limited, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a leader in the insurance sector, we offer exceptional growth opportunities, competitive benefits, and a commitment to innovation, particularly in leveraging AI tools for product enhancement. Join us in our vibrant office, where collaboration and creativity drive meaningful results in the telephony and digital sales landscape.
Contact Details:
Vitality Corporate Services Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Associate Data Scientist
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We think you need these skills to ace Associate Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Vitality Corporate Services Limited
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Vitality Corporate Services Limited!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
