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For Companies At a Glance
- Tasks: Design and build AI solutions that transform insurance analysis and decision-making.
- Company: Join WTW, a leader in data science and AI consulting.
- Benefits: Enjoy 25 days annual leave, private healthcare, and hybrid working options.
- Other info: Collaborate with experts and grow your career in a supportive environment.
- Why this job: Make a real impact with cutting-edge AI technology in the insurance sector.
- Qualifications: Fluent in Python with experience in AI application development and machine learning.
The predicted salary is between 60000 - 80000 ÂŁ per year.
We are seeking a Data Scientist with experience prototyping, building, and scaling AI applications to join WTW’s Data Science team within our Consulting practice. In this role, you will help grow our AI and Data Science advisory capability, working alongside leading insurance market experts to design and deliver cutting edge machine learning and generative AI solutions for the world’s leading general insurers and intermediaries.
As a data scientist, you will operate at the intersection of advanced machine learning, generative AI, and insurance domain expertise. You will help shape, prototype, and scale AI-driven solutions that materially transform how insurers analyse risk, operate, and make decisions.
- Design, prototype, and build applied AI solutions — including agentic workflows — that enhance consulting delivery, unlock new analytical capabilities, and augment expert judgement.
- Develop generative AI applications using techniques such as Retrieval‑Augmented Generation (RAG), prompt engineering, and tool‑augmented agents to convert complex, unstructured insurer data into reliable, structured insights, prototypes, and semi‑automated analytical tools.
- Own AI solutions end‑to‑end, from translating ambiguous problem statements into working prototypes through to production‑ready applications for internal teams and external clients.
- Identify and deliver automation opportunities, such as natural language interfaces over insurer datasets, AI‑assisted exploratory analysis, document understanding, and generation of structured analytical outputs.
- Apply rigorous AI evaluation and safety practices, including:
- Prompt and few‑shot experimentation
- Hallucination detection and mitigation
- Deterministic and rule‑based validation
- SME‑driven constraints and edge‑case testing
- Human‑in‑the‑loop feedback mechanisms
Qualifications
- Fluent Python programming skills with an understanding of software engineering practices.
- Demonstrable experience designing, developing, and deploying AI applications end to end, from initial prototype through to scalable production use.
- Hands on experience with one or more of the following Generative AI techniques: Retrieval Augmented Generation (RAG), Prompt engineering, Agent based or agentic AI workflows and orchestration, AI evaluation frameworks, Neuro symbolic frameworks.
- Experience with major cloud platforms such as Azure or AWS.
- Strong understanding of machine learning and statistical modelling principles, with the ability to explain model behaviour, assumptions, and trade offs.
- Experience working with real world structured and unstructured data, and building robust data pipelines.
- Strong interpersonal and collaboration skills, with the ability to work effectively in multi disciplinary teams and engage with clients.
- Comfortable with rapid prototyping, experimentation, and iterative tool building.
- A proven track record of innovation, delivering AI driven solutions that create measurable business value such as revenue growth, efficiency improvements, or risk reduction.
- Experience in insurance or consulting.
- Experience with MLOps.
- Experience with fine‑tuning or adapting foundation models, such as LoRA.
- Experience with WTW actuarial software.
What we offer
Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle‑to‑work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you.
Equal Opportunity Employer
We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email.
Senior Data Scientist - AI in London employer: WTW
Contact Detail:
WTW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and data science work. This is your chance to demonstrate what you can do beyond just a CV. Make sure to highlight any innovative solutions you've developed.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI and data science. Think about how you can explain complex concepts simply and clearly. Remember, they want to see your problem-solving skills in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at WTW. Don’t miss out on the chance to be part of something great!
We think you need these skills to ace Senior Data Scientist - AI in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI applications and data science. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Skills: Since this role requires strong Python programming and AI application development, be sure to include specific examples of your work. Mention any tools or techniques you've used, like RAG or prompt engineering, to demonstrate your expertise.
Highlight Collaboration Experience: We value teamwork, especially in a multidisciplinary environment. Share instances where you’ve worked with others to deliver successful projects, particularly in consulting or insurance settings. This will show us you can thrive in our collaborative culture.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at WTW
✨Know Your AI Stuff
Make sure you brush up on your knowledge of generative AI techniques like Retrieval-Augmented Generation and prompt engineering. Be ready to discuss how you've applied these in real-world scenarios, especially in the insurance domain.
✨Showcase Your Prototyping Skills
Prepare to talk about your experience with rapid prototyping and how you've turned vague business questions into functioning AI tools. Bring examples of projects where you’ve taken an idea from concept to production-ready application.
✨Communicate Clearly
Since you'll be working closely with clients and multidisciplinary teams, practice explaining complex technical concepts in simple terms. This will help demonstrate your strong interpersonal skills and ability to build trusted advisor relationships.
✨Highlight Collaboration Experience
Be ready to share examples of how you've collaborated with consulting, product, and technology teams. Discuss any successful prototypes you've scaled into robust analytical workflows, showcasing your teamwork and leadership abilities.