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- Tasks: Lead data science initiatives to enhance pricing models and predictive analytics.
- Company: Join QBE, a global insurer with a supportive and innovative culture.
- Benefits: Enjoy 30 days holiday, flexible working, and comprehensive health insurance.
- Why this job: Make a real impact in the insurance industry using cutting-edge data science techniques.
- Qualifications: Proficient in Python, with experience in data analysis and machine learning.
- Other info: Collaborative environment with opportunities for career growth and development.
The predicted salary is between 36000 - 60000 £ per year.
Time Type: Full time
Worker Type: Employee
About QBE
At QBE, we get to the heart of what matters for our customers. And we do it all with a human touch. We’re an international insurer with more than 13,000 people working across 26 countries – which means we’re big enough for your ambitions, yet small enough for you to make a real impact. It’s an exciting time. We’re building momentum towards our vision to become the most consistent and innovative risk partner.
The opportunity
We’re seeking a Data Science Lead to join our established and growing Pricing & Analytics team for Automotive Protection’s global business, helping to strengthen our pricing and predictive modelling capabilities. This is an exciting opportunity for an individual looking to start or continue their career within the insurance industry, and who want to join a team of experienced and supportive colleagues. This role will be based in our London office.
Your new role
In this role, you will apply data science and modelling techniques to solve real-world business challenges and support data-driven decision-making. Partnering with the Global Head of Performance and Senior Analyst Manager, you’ll be responsible for transitioning our pricing models to python and developing our machine learning capability. If you’re passionate about turning data into actionable strategies and thrive in a collaborative, energetic environment, we want you on our team!
Main responsibilities:
- Act as the technical lead for transitioning our GLM pricing models to Python and developing our machine learning capability
- Work closely with the Senior Analyst Manager to shape Automotive Protection's data science strategy, identify high‑value opportunities, and deliver analytical solutions that directly influence global decision-making
- Develop and implement analytical models that support pricing, identify fraud, improve retention and renewals, and drive profitable growth
- Collaborate with analyst team to build, monitor, and refresh predictive models as needed
- Design and enhance analytics that generate actionable insights and support business decisions
- Ensure all models meet regulatory standards, follow best-practice governance, and are well documented
- Present findings clearly and confidently to diverse audiences, ensuring insights are understood and actionable
- Collaborate across functions, including with clients, senior stakeholders, and wider business teams
This role is ideal for someone who enjoys solving real-world problems with data, takes ownership of their work, and is passionate about making analytics part of everyday business decisions.
About You
You’re a hands-on data scientist who enjoys solving real problems with data. You’re confident using Python, comfortable working with large and complex datasets, and able to explain your work clearly to people from a wide range of backgrounds. You work well with others, think creatively, and enjoy helping bring new ideas to life.
Skills you’ll need:
- Strong proficiency in Python for data analysis, modelling, and solution development
- Familiarity with working in a Linux environment
- Strong understanding of machine learning and data science principles, including MLOps practices and Databricks
- Good experience with MS SQL Server Management Studio, MS Office, Power BI, and Excel, with the ability to transform data into impactful insights
- A background in data management or analytics within financial services, ideally in general insurance
- A track record of developing models that deliver real and lasting business improvements
- Experience working with large structured and unstructured datasets
- Ability to define business requirements, solve complex problems, and deliver tailored analytical solutions
- Excellent communication skills, with the ability to explain technical concepts clearly to non-technical colleagues and stakeholders
- A collaborative, open approach to working with others and building strong relationships
- Experience working in fast-paced environments and managing projects using agile methodologies
Benefits
We offer a range of benefits to help provide holistic support for your work life, whatever your circumstances. As a QBE employee you will have access to and benefit from:
- 30 days holiday a year with the option to buy up to 2 additional days.
- Flexible working - balancing work and life is important so our flexible working opportunities are open to all, this can include part-time, job share and compressed hours.
- Pension – you are automatically enrolled into the QBE pension plan, which entitles you to receive employer contributions of 10% of your basic salary.
- Private medical insurance – we fund fully comprehensive private medical cover for you and all the family.
- Family friendly policies – we offer 26 weeks leave at full pay regardless of gender identity, sexual orientation or how you become a parent.
- Short term remote work abroad - you can request up to 20 days per year to work remotely from certain locations abroad.
- Sustainable investing - we believe sustainable integration is important for long term financial, environmental, and social outcomes.
- Cycle-to-Work – benefit from regular exercise whilst making your commute greener and cheaper, select and bike and/or accessories up to the value of £5,000.
To find out more visit our website.
Awards & Recognition
We value our employee’s experience with us and are proud to have been recognised for the following awards:
- Winner of Excellence in Diversity, Equity & Inclusion Award 2025 at the Insurance Business Australia Awards
- Insurance Post British Insurance Awards 2025: Winner: Commercial Lines Insurer of the Year, Winner: Reinsurer of the Year - QBE Re, Winner: ESG, Diversity, Equity and Inclusion Initiative of the Year, Winner: Insurance Personality of the Year - Chris Wallace, Executive Director UK insurance
- AXCO Global Insurance Awards 2024 Winner: Network Management of the Year
- Insurance Business UK 5-Star Cyber Awards 2024: QBE rated as a 5-Star Cyber Insurer
- UK IT Industry Awards 2023 Winner: Green Technology Innovation of the Year
- Working Dads Employer Awards 2023 Winner: Parental Policies Award
- Insurance Post British Insurance Awards 2023: QBE rated as a 5-Star Employee
If you’re looking for a career that combines your expertise and your empathy, click Apply today. Your career. At the heart of it.
How to Apply:
To submit your application, click "Apply" and follow the step by step process.
Equal Employment Opportunity:
QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
Data Science Lead in London employer: QBE Insurance Group
Contact Detail:
QBE Insurance Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Lead in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects or contributions, especially those involving Python and data science. This gives potential employers a tangible sense of what you can do.
✨Ace the Interview
Prepare for interviews by practicing common questions and scenarios related to data science. Be ready to explain your thought process and how you tackle real-world problems with data. Confidence is key!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing passionate candidates who are eager to join our team.
We think you need these skills to ace Data Science Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Science Lead role. Highlight your experience with Python, machine learning, and any relevant projects that showcase your skills in data analysis and modelling.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about this role and how your background aligns with our needs. Be sure to mention your collaborative spirit and how you can contribute to our team.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled real-world problems using data. We love seeing how you’ve turned insights into actionable strategies, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at QBE Insurance Group
✨Know Your Data Science Stuff
Make sure you brush up on your Python skills and understand machine learning principles. Be ready to discuss how you've applied these in real-world scenarios, especially in pricing models or predictive analytics.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about specific projects where your analytical solutions made a significant impact on business decisions.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You’ll likely need to present your findings to non-technical stakeholders, so being able to convey your insights clearly is crucial.
✨Be Collaborative
Highlight your experience working in teams and how you’ve built strong relationships with colleagues. QBE values collaboration, so be prepared to discuss how you work well with others to achieve common goals.
