At a Glance
- Tasks: Lead predictive analytics projects and transform raw data into actionable insights.
- Company: Join Zurich Corporate Risk, a leading global insurer with a flexible work culture.
- Benefits: Attractive salary, 12% pension scheme, annual bonus, and private medical insurance.
- Other info: Collaborative team environment with opportunities for professional growth.
- Why this job: Make a real impact in the insurance industry while working remotely and flexibly.
- Qualifications: Experience in data science or insurance pricing, strong programming skills in Python and SQL.
The predicted salary is between 50000 - 60000 € per year.
Working hours: This role is available on a part-time, job-share or full-time basis.
Salary: Attractive compensation package depending on experience.
Location: We welcome applications from individuals based across the UK, with the opportunity to work primarily remotely alongside occasional hybrid attendance at your nearest Zurich office.
Closing date for applications: 1st June 2026.
Are you a motivated and hands-on data scientist who has insurance experience and is passionate about solving business problems? Or possibly an actuary or insurance expert with strong data science skills who wants to work on projects for a leading global insurer? Then this job is definitely something for you.
This is an excellent opportunity to join Zurich Corporate Risk (ZCR) as a key member of our ZCR Actuarial Pricing team. ZCR develops employee benefits insurance solutions for corporate customers. We are looking for a business-oriented and motivated person with strong predictive modelling skills to join our team.
- Support development and implementation of priority advanced analytics use cases relevant to UK ZCR, including mortality rate modelling, conversion rate modelling, and price elasticity modelling.
- Contribute to capability uplift and knowledge transfer within the UK Pricing team.
- Support delivery milestones during a period of heightened transformation demand.
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?
- Lead on the development of various predictive analytics projects in the team.
- Transform raw data into usable assets through data preparation, feature generation and in-depth exploratory analysis.
- Develop and refine machine learning models, ensuring they are fit for purpose and deliver measurable value.
- Produce insightful visualisations and documentations to support your findings.
- Act as a key bridge between technical teams and stakeholders, clearly presenting findings in a practical, business-focused way.
What are we looking for?
- Significant experience working in data science or insurance pricing roles.
- Practical experience implementing machine learning models (including GLMs) using modern model development techniques.
- Strong programming skills, including Python and SQL.
- Experience working with cloud-based analytics platforms, such as Databricks.
- Knowledge of insurance products is a plus.
- Familiarity with developer toolkits (including Git and DevOps) is desirable.
- Highly numerate and analytical with strong technical ability and financial awareness.
- A proactive, can-do attitude, with a strong focus on delivering high-quality outcomes and a positive user experience.
- A genuine interest in solving real business problems and partnering directly with business stakeholders.
- Strong communication skills, with the ability to convey ideas clearly and effectively.
- A collaborative team player, with the confidence to guide and influence team activity where needed.
- Excellent written and spoken English.
What will you get in return?
Employees receive a wide range of benefits, 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, alongside a range of other flexible benefits.
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.
Data Scientist (18 month fixed term contract) in Swindon employer: Zurich Insurance
Zurich Corporate Risk is an exceptional employer that values flexibility and work-life balance, offering part-time, job-share, and full-time options for the Data Scientist role. With a strong focus on employee growth, you will have the opportunity to lead innovative predictive analytics projects while benefiting from a comprehensive compensation package, including a generous pension scheme and private medical insurance. Join a collaborative team that prioritises meaningful contributions and supports your professional development in a dynamic and inclusive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (18 month fixed term contract) in Swindon
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable presenting your skills.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your predictive modelling work and any relevant analytics projects. This gives potential employers a tangible sense of what you can do.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist (18 month fixed term contract) in Swindon
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience in data science and insurance, and don’t forget to showcase those predictive modelling skills we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about solving business problems and how your background makes you a perfect fit for our team at Zurich Corporate Risk.
Showcase Your Technical Skills:We want to see your programming prowess! Be sure to mention your experience with Python, SQL, and any cloud-based analytics platforms like Databricks. This will help us understand your technical capabilities.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Zurich Insurance
✨Know Your Data Science Stuff
Make sure you brush up on your predictive modelling skills and machine learning techniques. Be ready to discuss specific projects you've worked on, especially those related to insurance pricing or analytics. This will show that you not only understand the theory but can apply it in real-world scenarios.
✨Showcase Your Communication Skills
Since you'll be acting as a bridge between technical teams and stakeholders, practice explaining complex data concepts in simple terms. Prepare examples of how you've successfully communicated findings in previous roles, as this will highlight your ability to convey ideas clearly and effectively.
✨Be Ready for Flexibility Talks
Given the flexible working options available, think about what kind of work arrangement suits you best. Be honest about your needs during the interview, and show that you're open to discussing how you can fit into their flexible culture while still delivering high-quality outcomes.
✨Prepare Insightful Questions
Come prepared with questions that demonstrate your interest in the role and the company. Ask about the specific advanced analytics use cases they’re focusing on or how the team collaborates on projects. This shows that you're genuinely interested in contributing to their goals and helps you assess if the role is right for you.
