At a Glance
- Tasks: Drive data-led decisions and collaborate with experts to shape our AI journey.
- Company: Join Zurich, a leading insurance company committed to innovation and inclusivity.
- Benefits: Enjoy flexible working, competitive salary, and a fantastic benefits package.
- Other info: Be part of a supportive culture that values creativity and diverse perspectives.
- Why this job: Make a real impact in a dynamic team while exploring cutting-edge AI technologies.
- Qualifications: Proficient in Python, SQL, and experienced in AI/ML applications.
The predicted salary is between 45000 - 50000 £ per year.
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: London, Fareham or Swindon hybrid working. Closing date for applications: 30th September 2026.
The opportunity
Data is central to our work at Zurich, and we seek a talented individual to join our data science team, working across both underwriting and non-underwriting areas of the 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. You'll work with colleagues to design core systems and data requirements, bringing efficiency and supporting colleagues in using data confidently.
We seek someone passionate about AI, data and advanced analytics, willing to challenge the status quo, and proficient in AI/ML in a commercial setting. The ideal candidate is creative, curious, and logical in problem-solving. This is an excellent opportunity to join a dynamic, supportive team working on diverse insurance topics. We value a supportive team culture and independence in work. If this sounds like you, we look forward to your application.
We offer flexible working arrangements, including part-time, flexible hours, job share, remote work, or compressed hours, as we aim to attract the best talent. Discuss your flexibility needs with us during the interview.
Many of our employees work flexibly in a variety of different ways, including part-time, flexible hours, job share, an element of working from home or compressed hours. This is because we want the best people for our roles, and we recognise that sometimes those people aren’t available full-time. Please talk to us at interview about the flexibility you may need.
What will you be doing?
As Data Scientist your main responsibilities will involve:
- Driving data-led decision-making in our business, working with stakeholders to help them understand how data & AI can assist them in meeting their requirements.
- Assisting colleagues in setting strategy for activities using data & AI, informing on the art-of-the-possible and best-practice.
- Using 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.
- Promoting an automation-first mindset where possible and using data to tell compelling narratives and communicate in simple language to deliver tangible impact.
- Ensuring that high standards of code development are met, including adherence to code management best practices and team policies such as submission and review of pull requests.
- Working with the business teams to build knowledge and confidence with data as well as collaborating with colleagues across the Zurich Group internationally to share knowledge and enhance the data analytics capabilities for our collective AI communities.
What are we looking for?
Your skills and experience will ideally include:
- Strong analytical, structured, and interdisciplinary way of thinking and working, including the ability to think creatively with data and being 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, who is comfortable explaining the value of their work to drive adoption and challenge the status quo, both to 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.
- An 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.
Nice to have:
- 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.
What will you get in return?
Everyone’s different. That’s why at Zurich, we offer a wide range of employee benefits so our people can choose what fits them and their life. Our benefits provide real flexibility so our people can make considered choices and tailor their benefits throughout the year. Our benefits include 12% defined non-contributory pension scheme, annual company bonus, private medical insurance and the option to buy up to an additional 20 days or sell some of your holiday, alongside a range of other flexible benefits.
You can find out more about our wide range of employee benefits on our website.
Who we are
At Zurich we aspire to be one of the most responsible and impactful businesses in the world. Together, we’re creating a brighter future for our customers, our people and our planet. With over 65,000 employees, you’ll feel the support of being part of a strong and stable company that is a long-standing player in the insurance industry.
We’ve made a promise to each other and every employee: to focus on sustainable impact, to care about each other’s wellbeing, to use our diverse expertise to be curious and optimistic and to develop the skills needed for our future.
If you’re interested in working in a dynamic and challenging environment where your creativity, ideas and contributions are recognised and rewarded, Zurich could be just the place for you. Be part of something great.
Our culture
At Zurich, our strength comes from the diverse experiences, perspectives and talents of our people. Our goal is to create a workplace where every employee can flourish and where everyone feels valued, heard and respected. Over a quarter of our employees are members of at least one of our inclusion communities (Employee Resource Groups), with groups focused on areas such as social mobility and cultural awareness. We’re proud to have received numerous industry awards recognising our diversity and inclusion policies and initiatives.
We’ve created an environment that places real importance on our people’s wellbeing from a physical, mental, social and financial perspective. We work with our wellbeing partners and industry experts to provide practical advice and access to a wide range of lifestyle support, alongside opportunities to learn, grow and develop the skills needed for the future. We actively support our employees to give back to their communities through volunteering and charitable activity. Our charitable arm, Zurich Community Trust, is one of the longest‑established corporate trusts in the UK. Together, we’ve supported causes across the UK through grants and volunteering, contributing over £100 million in funding and volunteered time.
Your application
We’re committed to treating all applicants fairly and with respect, irrespective of their actual or assumed background, sexual orientation, disability or any other protected characteristic. As an inclusive employer we also 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. We’d love it if you could submit your application online. If you require an alternative method of applying, please send an email to recruitment@uk.zurich.com.
So, make a difference. Be challenged. Be inspired. Be supported. Love what you do. Work for us.
Data Scientist in London employer: Zurich Insurance Group
Zurich UK is an exceptional employer that prioritises flexibility and employee wellbeing, offering part-time, job-share, and full-time options to accommodate diverse needs. With a strong commitment to diversity and inclusion, employees are encouraged to grow through transparent internal mobility and access to various development opportunities. The supportive work culture fosters collaboration and innovation, making it an ideal place for professionals looking to make a meaningful impact in the field of exposure management.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in London
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Zurich Insurance Group.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at Zurich Insurance Group and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Zurich Insurance Group aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at Zurich Insurance Group
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Zurich Insurance Group.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Zurich Insurance Group.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Zurich Insurance Group, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at Zurich Insurance Group will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.