LON Data Scientist

Working hours: This role is available on a part‑time, job share or full‑time basis.
Salary: Up to £50,000 depending on experience plus an excellent benefits package.
Location: Swindon, Fareham or London. Hybrid Working.
Closing date for applications: 12th December 2025.

Data is central to our work at Zurich, and we seek a talented individual to join our data science team focusing on topics related to our Retail business. You will collaborate with data, AI and business experts to support data‑led decisions, impacting the entire organization. Our data & AI journey is entering an exciting new stage, and you can help shape its future. We aim to put people and their data at the heart of our strategy, enabling swift, outcome‑focused decisions.

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• Drive data‑led decision‑making in our business, working with stakeholders to help them understand how data & AI can assist them in meeting their requirements.
  
• Assist colleagues in setting strategy for activities using data & AI, informing on the art‑of‑the‑possible and best‑practice.
  
• Use AI/ML and data science techniques to reduce the need for manual work, including analysis of structured numerical data and application of LLMs and similar tools to unstructured data.
  
• Promote an automation‑first mindset where possible and use data to tell compelling narratives and communicate in simple language to deliver tangible impact.
  
• Maintain high standards of code development, including adherence to code management best practices and team policies such as submission and review of pull requests.
  
• Build knowledge and confidence with data in the business and collaborate internationally to share knowledge and enhance data analytics capabilities for our collective AI communities.
  

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• Strong analytical, structured, and interdisciplinary way of thinking and working, including the ability to think creatively with data and be comfortable with complex and ambiguous problem‑solving.
  
• Enthusiastic to work on problems which have never been attempted before.
  
• Proficient in Python and modern software development practices within a team of developers (e.g., use of Git).
  
• Experience using SQL and working with databases, comfortable working with a variety of data sources, both structured and unstructured, and very large datasets using distributed computing (e.g., Spark).
  
• Experience working with LLMs to deliver value in a commercial organisation, including how to manage and monitor LLM‑based applications to maximise performance.
  
• Experience working with cloud technology, ideally Microsoft Azure and/or AWS.
  
• Proven track record of development and deployment of machine learning algorithms, including supervised and unsupervised learning techniques.
  
• Excellent collaboration and organisation skills.
  
• Proficient communicator, comfortable explaining the value of their work to drive adoption and challenge the status‑quo, to both technical and non‑technical audiences.
  
• Comfortable working in a business environment where the answer might not be clear‑cut yet understanding the need to be practical and to deliver for the business.
  
• Ability to think proactively and ‘join the dots’ across a complex landscape to see the bigger picture.
  
• Understanding of the importance of team culture, and a demonstrable ability to act as a role model to maintain a culture of curiosity, support and honesty.
  

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• Knowledge of R or other programming languages.
  
• Knowledge of current UK AI/ML compliance and regulation.
  
• Experience with AWS SageMaker.
  
• Experience with Snowflake.
  
• Experience with Databricks.
  

We offer a wide range of employee benefits to our people, including a 12% defined non‑contributory pension scheme, an annual company bonus, private medical insurance and the option to buy up to an additional 20 days or sell some of your holiday. Our benefits provide real flexibility so our people can make considered choices and tailor their benefits throughout the year.

As an inclusive employer we want to ensure that all candidates feel comfortable and are able to perform at their best during the interview. You’ll have the opportunity to let us know of any reasonable adjustment or practical support needed when you apply.

Zurich aspires to be one of the most responsible and impactful businesses in the world and the best global insurer. With over 55,000 employees in more than 170 countries, you’ll feel the support of being part of a strong and stable company who are a long‑standing player in the insurance industry.

We are strong in community, particularly passionate about diversity and inclusion, winning numerous awards for our inclusive culture. We want our people to bring the whole of themselves to work and ensure everybody feels welcome, regardless of their background, beliefs or culture.

We focus on sustainable impact, wellbeing, continuous improvement and support employees in volunteering, charitable activity, and other community initiatives.