At a Glance
- Tasks: Lead impactful data science projects and mentor junior team members.
- Company: Join QBE, a global insurer with a human touch and innovative vision.
- Benefits: Enjoy 30 days holiday, flexible working, and comprehensive health coverage.
- Why this job: Make a real impact in the insurance industry using cutting-edge data science.
- Qualifications: Experience in data science, advanced analytics, and strong Python skills required.
- Other info: Dynamic work environment with opportunities for growth and recognition.
The predicted salary is between 48000 - 72000 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. Having the right to work in the UK is a requirement for this role. QBE may consider sponsorship at its discretion.
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.
- 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.
- 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 - our pension strategy supports our net-zero goal to achieve year-on-year reductions in carbon footprint, by investing more in green businesses than the broader market.
- 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 Rewarding our people - QBE European Operations.
Apply now and let’s make it happen! If you’re looking for a career that combines your expertise and your empathy, click Apply today.
Your career. At the heart of it.
Skills: Communication, Critical Thinking, Data Science, Data Visualization, Financial Products, Innovation, Intentional collaboration, Machine Learning (ML), Managing performance, Mentorship, Research Analysis, Risk Management, Stakeholder Management, Team Management, Thought Leadership.
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 Europe
Contact Detail:
QBE Europe 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 with current QBE employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Prepare for interviews by practising common data science questions and scenarios. Think about how you can showcase your experience in commercial insurance and your technical skills. We want to see how you can turn complex data into clear insights!
✨Tip Number 3
Don’t underestimate the power of storytelling! When presenting your past projects or experiences, focus on the impact they had on the business. Make it relatable and show how your work aligns with QBE’s vision of being an innovative risk partner.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the QBE team. Let’s make it happen together!
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 your technical skills like Python and machine learning.
Craft a Compelling Cover Letter: Your cover letter should tell your story! Explain why you're passionate about data science and how your skills align with QBE's mission. Don’t forget to mention your experience leading analytical projects and mentoring others.
Showcase Your Communication Skills: Since you'll be presenting to both technical and non-technical audiences, make sure to demonstrate your communication skills in your application. Use clear, concise language and structure your thoughts logically.
Apply Through Our Website: We encourage you to apply through our website for a smooth 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 Europe
✨Know Your Data Science Stuff
Make sure you brush up on your data science and machine learning skills, especially in the context of commercial insurance. Be ready to discuss specific projects you've worked on, the methodologies you used, and how they impacted business decisions.
✨Show Off Your Communication Skills
Since you'll be presenting to both technical and non-technical audiences, practice explaining complex concepts in simple terms. Prepare examples of how you've successfully communicated insights from your analyses in the past.
✨Prepare for Stakeholder Questions
Think about how you would approach multi-stakeholder projects. Be ready to discuss how you coordinate inputs and manage expectations across different teams. Highlight any experience you have leading analytical workstreams.
✨Demonstrate Your Mentorship Experience
As a Senior Data Scientist, mentoring junior colleagues will be part of your role. Share specific examples of how you've helped others grow in their careers, whether through formal mentorship or collaborative projects.