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- Tasks: Lead impactful data science projects and mentor junior team members.
- Company: Join QBE, a global insurer with a human touch.
- Benefits: Enjoy 30 days holiday, flexible working, and private medical insurance.
- Why this job: Make a real impact in the insurance industry with your data expertise.
- Qualifications: Experience in data science, advanced analytics, and strong communication skills.
- Other info: Be part of a diverse team with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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
As a Senior Data Scientist, you’ll play a key role in a high‑impact pricing and data science team within a leading commercial insurer. You’ll bring solid technical expertise, deep commercial awareness, and the ability to lead analytical work that drives decision‑making across the insurance value chain. You’ll act as a point of referral for the wider team, mentor junior data scientists, and help shape best practices in model development, governance, and responsible AI. This is ideal for someone ready to step into broader ownership, increased autonomy, and higher levels of cross‑functional influence.
Your new role
Reporting into the Data Science Manager, you’ll apply data science and machine learning to real‑world challenges, turning complex data into clear, commercially meaningful insights. Typical responsibilities include:
- Deliver high‑quality, commercially impactful analytics, ML, and AI solutions.
- Lead multi‑stakeholder analytical projects across underwriting, claims, operations, and customer functions; set structure, cadence, and deliverables.
- Act as a technical point of referral for Data Scientists advising on modelling approaches, data quality, coding standards, and solution design.
- Demonstrate specialist knowledge (e.g., pricing or domain‑specific modelling) and apply it to complex business problems.
- Present clear, compelling, and well‑structured analyses to technical and non‑technical audiences, with a sharp focus on commercial implications.
- Translate ambiguous business questions into structured analytical problems; define success metrics and validation plans.
- Ensure models and outputs meet governance, documentation, and regulatory standards (e.g., GDPR, EU AI Act); promote robust workflows, version control, testing, peer review, and model risk governance.
- Contribute to evolving data science methodologies, internal tooling and governance frameworks.
About you
You’re a hands‑on data scientist who enjoys solving real problems with data, and you communicate your thinking with clarity and confidence. You’re collaborative, open, and comfortable operating in fast‑paced, cross‑functional environments.
What you’ll bring:
Data science experience in commercial insurance.
Experience delivering advanced analytics or ML solutions that achieve sustained business impact.
Experience leading analytical workstreams or projects and coordinating inputs across multiple stakeholders.
Advanced Python (pandas, NumPy, scikit‑learn; visualisation libraries).
Proficiency working in cloud‑based Linux environments (e.g., Azure, AWS, GCP, Databricks).
Understanding of software engineering best practices, including git, modular code design, and reproducible workflows.
Excellent communication, storytelling, and stakeholder‑management skills; comfortable presenting to senior, technical, and non‑technical audiences.
Experience mentoring or coaching junior colleagues to raise the bar for the team.
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.
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 for our program.
- 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.
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.
Senior Data Scientist in London employer: QBE
Contact Detail:
QBE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in London
✨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 questions and showcasing your data science projects. Make sure you can explain your thought process clearly and how your work has made an impact.
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications with a friendly email. It shows your enthusiasm and keeps you on their radar. Plus, it’s a great way to ask if they need any more info from you.
✨Tip Number 4
Check out our website for the latest job openings. We’re always looking for talented individuals like you, and applying through our site gives you a better chance of standing out!
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your relevant experience in data science, especially in commercial insurance, and showcase any projects that demonstrate your ability to deliver impactful analytics.
Craft a Compelling Cover Letter: Your cover letter should tell a story about your journey in data science. Explain why you're passionate about this role at QBE and how your skills align with their mission to become an innovative risk partner.
Showcase Your Technical Skills: Don’t forget to mention your technical expertise! Be specific about your experience with Python, machine learning, and cloud environments. This will help us see how you can contribute to our team right away.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it, so don’t miss out!
How to prepare for a job interview at QBE
✨Know Your Data Science Stuff
Make sure you brush up on your data science and machine learning knowledge, especially as it relates to commercial insurance. Be ready to discuss specific projects you've worked on, the methodologies you used, and the impact they had on the business.
✨Showcase Your Leadership Skills
Since this role involves mentoring junior data scientists and leading analytical projects, be prepared to share examples of how you've successfully led teams or projects in the past. Highlight your ability to coordinate with multiple stakeholders and drive results.
✨Communicate Clearly and Confidently
Practice presenting complex analyses in a way that's easy to understand for both technical and non-technical audiences. Use storytelling techniques to make your points compelling, and don’t shy away from discussing the commercial implications of your work.
✨Understand the Company Culture
Research QBE’s values and culture before the interview. They emphasise a human touch and collaboration, so think about how your personal values align with theirs. Be ready to discuss how you can contribute to their vision of being an innovative risk partner.