At a Glance
- Tasks: Design and deploy AI applications that impact millions of insurance customers.
- Company: Join a leading UK health and life insurance provider with a focus on innovation.
- Benefits: Competitive salary, bonus, hybrid working model, and career development opportunities.
- Other info: Exciting opportunity to work with cutting-edge technology in a dynamic setting.
- Why this job: Be part of a growing AI team and work on high-impact projects.
- Qualifications: Experience in AI, ML, and deploying applications in complex environments.
The predicted salary is between 75000 - 90000 € per year.
Do you want to build production AI systems used by millions of insurance customers? Have you deployed LLM applications into complex enterprise environments before? Are you ready to help scale a growing GenAI function inside one of the UK's biggest insurers?
A major UK health and life insurance provider is hiring a Senior Data Scientist (AI) on a 12-month FTC basis to support a rapidly growing AI function focused on GenAI products and operational automation. The team is building production-grade AI applications across underwriting, customer journeys, internal operations, and sales enablement.
The role sits within a growing AI team delivering live LLM applications and intelligent automation systems. You'll work on high-impact products with strong internal visibility, alongside experienced Data Scientists and AI Engineers.
Role SummaryYou'll help design, build, and deploy AI-powered applications using both traditional ML and modern LLM tooling. Projects include AI sales assistants, underwriting automation, internal summarisation systems, and workflow efficiency tools.
Key Responsibilities- Build and deploy production-grade AI applications
- Develop LLM, RAG, and agentic AI systems
- Deploy applications into GCP environments
- Work closely with cross-functional business stakeholders
- Improve scalability, reliability, and AI deployment workflows
- Build APIs, backend services, and production pipelines
- Support AI integration into enterprise systems
- Salary: £75,000–£90,000 base
- Bonus: 16%
- Working model: Hybrid, 2 days per week in London office
- Contract: 12-month FTC (maternity cover)
- Tech stack: Python, GCP, APIs, Docker, Kubernetes, CI/CD, LLMs, RAG, LangChain/LlamaIndex
- Sponsorship: Cannot sponsor
Interested? Please apply below.
Senior Data Scientist (AI) - 12 Month FTC in London employer: LinkedIn
As a leading health and life insurance provider in the UK, we pride ourselves on fostering a dynamic work environment that champions innovation and collaboration. Our hybrid working model allows for flexibility while our commitment to employee development ensures that you will have ample opportunities to grow your skills in AI and data science. Join us to make a meaningful impact by building cutting-edge AI applications that enhance customer experiences and streamline operations.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist (AI) - 12 Month FTC in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in AI and data science. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and AI applications. Share it during interviews or even on your LinkedIn profile. It’s a great way to demonstrate your expertise and passion for the field.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI concepts. Practice common data science problems and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨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 and eager to join our team!
We think you need these skills to ace Senior Data Scientist (AI) - 12 Month FTC in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Scientist role. Highlight your experience with LLM applications and any relevant projects you've worked on, especially in AI and automation.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Share specific examples of your work in deploying AI systems and how they’ve made an impact.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python, GCP, and any other tools from our tech stack. We want to see how you’ve used these technologies in real-world applications, so be specific!
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 growing AI function.
How to prepare for a job interview at LinkedIn
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially LLM applications. Be ready to discuss your previous experiences deploying these technologies in complex environments, as this will show your expertise and confidence.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in building and deploying AI applications. Highlight your ability to improve scalability and reliability, as well as any innovative solutions you've implemented in past projects.
✨Understand the Business Context
Familiarise yourself with the insurance industry and how AI can enhance customer journeys and operational efficiency. This will help you connect your technical skills to the company's goals and demonstrate your understanding of their needs.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects and future goals. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values and work style.
