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- Tasks: Design and deploy innovative AI applications across various business functions.
- Company: Vitality, a leader in data science and AI innovation.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact with cutting-edge AI technology.
- Qualifications: Expertise in AI/ML, production deployment, and strong business partnering skills.
- Other info: Hybrid working model with a focus on collaboration and transformation.
The predicted salary is between 60000 - 80000 £ per year.
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.
Senior Data Scientist - 12 Month FTC in London employer: Vitality Corporate Services
Contact Detail:
Vitality Corporate Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - 12 Month FTC in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Vitality on LinkedIn. A friendly chat can give us insider info about the team and the role, plus it shows our genuine interest.
✨Tip Number 2
Prepare for the technical interview by brushing up on your AI/ML skills. We should be ready to discuss our experience with production deployment and MLOps, so practice explaining our projects clearly and confidently.
✨Tip Number 3
Showcase our business partnering skills! During interviews, we can share examples of how we've translated business needs into technical solutions. This will highlight our ability to work across teams effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows that we’re serious about joining the Vitality team.
We think you need these skills to ace Senior Data Scientist - 12 Month FTC in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expert AI/ML skills and experience with production deployment. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain how you can translate business needs into technical requirements. We love seeing candidates who can bridge the gap between data science and business.
Showcase Your Technical Skills: When detailing your experience, focus on your comfort with shipping scalable AI systems using APIs, microservices, and cloud technologies like GCP. We’re looking for those who can hit the ground running!
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’re considered for this exciting opportunity in our Data Science team!
How to prepare for a job interview at Vitality Corporate Services
✨Know Your AI/ML Stuff
Make sure you brush up on both traditional machine learning techniques and the latest in LLM/RAG workflows. Be ready to discuss specific projects where you've applied these skills, as well as any challenges you faced and how you overcame them.
✨Showcase Your Deployment Skills
Since this role involves shipping scalable AI systems, be prepared to talk about your experience with APIs, microservices, and tools like Docker and Kubernetes. Have examples ready that demonstrate your ability to deploy models in a production environment, ideally using GCP.
✨Translate Tech to Business
Vitality values business partnering, so think about how you've translated technical requirements into business solutions in the past. Prepare to share examples of how your work has directly impacted business outcomes or improved processes.
✨Be Ready for Team Collaboration
This role requires working across teams, so highlight your experience in collaborative projects. Think of instances where you’ve worked with cross-functional teams and how you ensured effective communication and alignment on goals.