At a Glance
- Tasks: Design and maintain data pipelines, develop AI features, and create insightful dashboards.
- Company: Join Zurich, a global leader in insurance with a strong commitment to diversity and inclusion.
- Benefits: Flexible working options, competitive salary, private medical insurance, and generous pension scheme.
- Why this job: Make a real impact by shaping the future of data science in pricing analytics.
- Qualifications: 2-3 years experience in data science, proficiency in Python/R and SQL, and strong analytical skills.
- Other info: Dynamic environment with a focus on wellbeing and continuous development opportunities.
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.
Location: Hybrid (Fareham office & remote working).
Closing date for applications: 5th February 2026.
The opportunity:
We are looking for a Data Scientist to join the Pricing Analytics team within Commercial Pricing. In this role, you will play a key part in strengthening the data foundations that underpin our pricing decisions by designing and maintaining data pipelines, developing advanced enrichment features, and translating complex data into actionable insight. This is a hands-on role combining data engineering, applied analytics, and close stakeholder collaboration. You’ll work across Pricing, Underwriting, and Data teams to improve data quality, model performance, and commercial outcomes. You’ll also help operationalise analytics through dashboards and governance and contribute to shaping how data science is embedded into pricing as we continue our migration to modern cloud-based tooling.
What will you be doing?
- Design, develop, and maintain data pipelines using Python and SQL, supporting pricing analytics, data migration, and wider Commercial Pricing initiatives.
- Develop, test and operationalise advanced enrichment features, including those derived from machine learning and AI techniques.
- Build and maintain a comprehensive data enrichment catalogue and integration of enrichment data into pricing and analytics tooling.
- Create real-time Power BI dashboards to monitor data enrichment performance, translating results into actionable feedback for pricing stakeholders.
- Apply AI and advanced analytics techniques to uncover patterns, assess risk drivers, and improve predictive accuracy within pricing models.
- Support pricing model improvement initiatives, working alongside Pricing to assess data gaps, challenge assumptions, and improve commercial outcomes.
- Perform exploratory data analysis and targeted investigations, translating complex data into clear insights.
- Coordinate the use and governance of analytics and pricing software.
- Collaborate closely with stakeholders across Pricing, Underwriting, and Data teams ensuring analytical outputs are well understood, well governed, and directly usable in decision making.
- Help shape the future of data science in Commercial Pricing as AI and advanced analytics become embedded in pricing processes.
What are we looking for?
- Strong analytical skills with around 2-3 years’ experience working as a Data Scientist, Pricing Analyst, or Advanced Analytics professional, ideally within insurance.
- Proficiency in Python/R and SQL, with experience building robust, scalable data pipelines.
- Experience working with cloud data platforms (e.g. Snowflake or similar) and integrating multiple internal and external data sources.
- A good understanding of statistical analysis, feature engineering, and applied analytics within predictive models.
- Experience using or supporting analytics and visualisation tools such as Power BI.
- Excellent communication skills, with the ability to explain complex data concepts clearly to non-technical stakeholders.
- A proactive mindset and ability to work independently in a fast-paced environment.
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.
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.
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’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.
Data Scientist in Fareham employer: Zurich Insurance Company
Contact Detail:
Zurich Insurance Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Fareham
✨Tip Number 1
Network like a pro! Reach out to current employees at Zurich or in the data science field on LinkedIn. Ask them about their experiences and any tips they might have for landing a role. Personal connections can make all the difference!
✨Tip Number 2
Prepare for those interviews! Brush up on your Python, SQL, and data pipeline skills. Be ready to discuss your past projects and how you’ve used analytics to drive decisions. Show them you’re not just a data whiz, but also a great communicator.
✨Tip Number 3
Don’t forget to showcase your soft skills! Being able to explain complex data concepts to non-technical stakeholders is key. Think of examples where you’ve done this before and be ready to share them during your interview.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Zurich. Don’t miss out on this opportunity!
We think you need these skills to ace Data Scientist in Fareham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, SQL, and any relevant projects that showcase your analytical skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our Pricing Analytics team. Be sure to mention any experience with cloud platforms or advanced analytics techniques.
Showcase Your Communication Skills: Since you'll be working closely with stakeholders, it's important to demonstrate your ability to communicate complex data concepts clearly. Include examples in your application where you've successfully explained technical information to non-technical audiences.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s straightforward and ensures your application goes directly to us. Don’t miss out on this opportunity to join our dynamic team!
How to prepare for a job interview at Zurich Insurance Company
✨Know Your Data Tools
Make sure you brush up on your Python, SQL, and any cloud data platforms like Snowflake. Be ready to discuss how you've used these tools in past projects, especially in building data pipelines or creating dashboards.
✨Showcase Your Analytical Skills
Prepare to talk about specific examples where you've applied statistical analysis or machine learning techniques. Think of a project where you uncovered patterns or improved predictive accuracy, and be ready to explain your thought process.
✨Communicate Clearly
Since you'll be working with non-technical stakeholders, practice explaining complex data concepts in simple terms. You might even want to prepare a few examples of how you've done this in the past to demonstrate your communication skills.
✨Be Proactive and Collaborative
Highlight your ability to work independently but also emphasise your experience collaborating with different teams. Prepare to discuss how you've coordinated with stakeholders to ensure analytical outputs are actionable and well understood.