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- Tasks: Design and deploy AI solutions to transform health insurance and wellness experiences.
- Company: Vitality, a leader in health and wellness innovation.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team shaping the future of personalised health with cutting-edge AI.
- Qualifications: Experience with Python, SQL, and machine learning; strong communication skills.
- Other info: Hybrid work model with a focus on innovation and collaboration.
The predicted salary is between 30000 - 50000 £ per year.
About The Role
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:
- 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
Data Scientist in London employer: Vitality Corporate Services
Contact Detail:
Vitality Corporate Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current Data Scientists or professionals in the field on LinkedIn. Ask them about their experiences and any tips they might have for landing a role at Vitality.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python, SQL, and machine learning algorithms. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by practising common data science questions and scenarios. Make sure you can clearly communicate your thought process and how you collaborate with stakeholders.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your hands-on experience with Python, SQL, and machine learning algorithms in your application. We want to see how you can bring those skills to the table!
Be Clear and Concise: When writing your application, keep your communication clear and to the point. We value straightforwardness, so make it easy for us to see how you can collaborate with stakeholders.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect how your experience aligns with our mission at Vitality. Show us why you’re the perfect fit for this role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Vitality Corporate Services
✨Master the Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in relation to machine learning algorithms. This will show that you have the hands-on experience they're looking for.
✨Showcase Your End-to-End Process
Prepare to walk through an end-to-end data science project you've worked on. Highlight how you handled data ingestion, feature engineering, and model evaluation. This will demonstrate your ability to manage the entire machine learning lifecycle, which is crucial for the role.
✨Communicate Clearly
Since clear communication is key, practice explaining complex data science concepts in simple terms. Think about how you would present your findings to non-technical stakeholders. This will help you stand out as someone who can collaborate effectively across teams.
✨Embrace Innovation
Vitality is all about innovation, so come prepared with ideas on how AI can enhance health insurance and wellness experiences. Show your enthusiasm for contributing to their mission and be ready to discuss how you can drive innovation within their data science team.