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For Companies 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.
- 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.
- Other info: Dynamic hybrid work environment 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 Respect@QBE 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.
If you’re looking for a career that combines your expertise and your empathy, click Apply today. Your career. At the heart of it.
Senior Data Scientist employer: QBE Insurance Group
Contact Detail:
QBE Insurance Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨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 personal introduction can make all the difference when it comes to landing that interview.
✨Tip Number 2
Prepare for your interviews by practising common data science questions and case studies. We recommend simulating the interview environment with a friend or mentor to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your skills through a portfolio of projects. Whether it's Kaggle competitions or personal projects, having tangible examples of your work can really impress hiring managers and set you apart from the competition.
✨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
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 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 Technical Skills: Be specific about your technical expertise in Python, machine learning, and cloud environments. Mention any tools or libraries you’ve used, and provide examples of how you've applied them to solve real-world problems.
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 to do!
How to prepare for a job interview at QBE Insurance Group
✨Know Your Data Science Stuff
Make sure you brush up on your data science and machine learning knowledge, 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.
✨Showcase Your Communication Skills
As a Senior Data Scientist, you'll need to present complex analyses to both technical and non-technical audiences. Practice explaining your past projects in simple terms, focusing on the commercial implications and how your insights drove decision-making.
✨Prepare for Stakeholder Management Questions
Expect questions about how you've led analytical workstreams and coordinated with multiple stakeholders. Have examples ready that demonstrate your ability to manage expectations, set deliverables, and keep everyone aligned throughout a project.
✨Demonstrate Your Mentorship Experience
Since mentoring junior data scientists is part of the role, be prepared to discuss your experience in coaching others. Share specific instances where you've helped someone improve their skills or contributed to their professional development.
