LON Data Scientist in Salisbury

LON Data Scientist in Salisbury

Salisbury Part-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Drive data-led decisions and collaborate with experts to shape our AI journey.
  • Company: Join Zurich, a leading global insurer with a strong community focus.
  • Benefits: Enjoy flexible working, competitive salary, and a comprehensive benefits package.
  • Why this job: Make a real impact in a dynamic team while working with cutting-edge data technologies.
  • Qualifications: Proficient in Python, SQL, and experienced in AI/ML applications.
  • Other info: Be part of a diverse culture that values wellbeing and continuous development.

The predicted salary is between 36000 - 60000 £ per year.

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.

The opportunity:

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. You will 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.

What will you be doing?

  • 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?

  • 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.

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.

Who we are:

At Zurich we aspire to be one of the most responsible and impactful businesses in the world and the best global insurer. Together we’re creating a brighter future for our customers, our people and our planet. 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’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 for a company that recognises and rewards your creativity, initiatives and contributions - then Zurich could be just the place for you. Be part of something great.

Our Culture:

At Zurich, our sense of community is strong and we’re particularly passionate about diversity and inclusion, which we’ve won numerous awards for. We want our people to bring the whole of themselves to work and ensure everybody is made to feel welcome, regardless of their background, beliefs or culture. We want our employees to reflect the diversity of our customers, and so are committed to treating all of our applicants fairly and with respect, irrespective of their actual or assumed background, disability or any other protected characteristic.

We’ve an environment that places a 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 the best advice and access to a wealth of lifestyle support. We’re also committed to continuous improvement and we offer access to a comprehensive range of training and development opportunities.

We’re passionate about supporting employees to help others by getting involved in volunteering, charitable and community activity. Our charitable arm, Zurich Community Trust, is one of the longest-established corporate trusts in the UK. In that time, we’ve awarded grants and volunteered time to deserving causes in the UK valued at over £90 million.

So make a difference. Be challenged. Be inspired. Be supported, Love what you do. Work for us.

LON Data Scientist in Salisbury employer: Zurich Insurance

Zurich is an exceptional employer that prioritises employee wellbeing and development, offering a flexible working environment in vibrant locations like London, Swindon, and Fareham. With a strong focus on diversity and inclusion, employees are encouraged to bring their authentic selves to work while benefiting from a comprehensive benefits package, including a generous pension scheme and opportunities for continuous learning. Join a dynamic team where your creativity and contributions are valued, and help shape the future of data-driven decision-making in the insurance industry.
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Contact Detail:

Zurich Insurance Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land LON Data Scientist in Salisbury

✨Tip Number 1

Network like a pro! Reach out to people 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

Prepare for interviews by practising common data science questions and scenarios. Use your knowledge of AI/ML to showcase how you can drive data-led decision-making. Remember, it’s all about demonstrating your problem-solving skills and creativity!

✨Tip Number 3

Don’t just apply anywhere; focus on companies that align with your values and interests. At StudySmarter, we encourage you to check out our website for roles that excite you. Tailor your approach to show why you’re a perfect fit for their team culture.

✨Tip Number 4

Follow up after interviews! A simple thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds. Plus, it’s a great chance to reiterate why you’d be an awesome addition to their data science team.

We think you need these skills to ace LON Data Scientist in Salisbury

Analytical Skills
Problem-Solving Skills
Python
SQL
Data Science Techniques
Machine Learning Algorithms
Large Language Models (LLMs)
Cloud Technology (Microsoft Azure, AWS)
Distributed Computing (e.g. Spark)
Collaboration Skills
Communication Skills
Software Development Practices (e.g. Git)
Understanding of Data Sources (structured and unstructured)
Creativity in Data Analysis
Adaptability in Ambiguous Environments

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Data Scientist role. Highlight your experience with AI, data, and analytics, and show how your skills align with what we're looking for at Zurich.

Show Your Passion: We love candidates who are genuinely excited about data and AI! Share examples of projects or experiences that demonstrate your enthusiasm and creativity in problem-solving.

Be Clear and Concise: When writing your application, keep it straightforward. Use simple language to explain complex ideas, just like you would when communicating with non-experts. We appreciate clarity!

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure we receive your details and can consider you for this exciting opportunity.

How to prepare for a job interview at Zurich Insurance

✨Know Your Data Science Stuff

Make sure you brush up on your data science skills, especially in Python and SQL. Be ready to discuss your experience with AI/ML techniques and how you've applied them in real-world scenarios. Prepare examples that showcase your problem-solving abilities and creativity with data.

✨Understand the Business Context

Familiarise yourself with Zurich's retail business and how data-driven decisions impact it. Think about how you can contribute to their goals and be prepared to discuss how data and AI can solve specific challenges they face. This shows you're not just a techie but also understand the bigger picture.

✨Communicate Clearly

Practice explaining complex data concepts in simple terms. You’ll need to communicate effectively with both technical and non-technical stakeholders. Prepare to share how you've successfully communicated your work in the past, making it relatable and understandable for everyone involved.

✨Show Your Team Spirit

Zurich values a supportive team culture, so be ready to discuss how you collaborate with others. Share examples of how you've contributed to a positive team environment and how you handle feedback. Highlight your ability to support colleagues in using data confidently, as this aligns with their team ethos.

LON Data Scientist in Salisbury
Zurich Insurance
Location: Salisbury

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