At a Glance
- 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.
- Other info: Collaborative environment with opportunities for career growth and sustainable practices.
- Why this job: Make a real impact in the insurance industry with cutting-edge data solutions.
- Qualifications: Experience in data science, advanced Python skills, and strong communication abilities.
The predicted salary is between 60000 - 80000 £ 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.
What if you could have a positive impact – at work and in the world? As part of the QBE team, you’ll get to spend every day working with people who are passionate, talented and kind. 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. 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. 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, so your savings are looking after the planet’s future, as well as your own.
- 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.
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: 慨正橡扯
At QBE, we pride ourselves on fostering a collaborative and inclusive work culture where every employee can make a meaningful impact. As a Senior Data Scientist in London, you'll enjoy flexible working arrangements, generous holiday allowances, and comprehensive benefits, including private medical insurance and family-friendly policies. With ample opportunities for professional growth and mentorship, QBE is committed to supporting your career while you contribute to innovative solutions in the insurance industry.
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 current or former employees at QBE on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by practising common data science questions and scenarios. Think about how you can showcase your experience in commercial insurance and your technical skills in Python and machine learning.
✨Tip Number 3
Show off your soft skills! QBE values communication and collaboration, so be ready to discuss how you've worked with cross-functional teams and mentored others in your previous roles.
✨Tip Number 4
Don’t forget to 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 QBE team.
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 is your chance to shine! Use it to tell us why you're passionate about data science and how your skills can make a real impact at QBE. Be sure to mention any leadership or mentoring experience you've had.
Showcase Your Projects:Include examples of past projects where you've delivered impactful analytics or ML solutions. We love seeing how you've tackled complex problems and what results you achieved, so don't hold back!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status directly with us!
How to prepare for a job interview at 慨正橡扯
✨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 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 to different stakeholders.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle real-world challenges in data science. Think about how you would translate ambiguous business questions into structured analytical problems and be ready to outline your thought process.
✨Demonstrate Leadership and Mentorship
As a Senior Data Scientist, you'll likely be mentoring junior colleagues. Be prepared to share your experiences in leading projects and how you've helped others grow in their roles. Highlight any specific instances where your guidance made a difference.