Senior Data Scientist

At QBE, we get to the heart of what matters for our customers. 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.

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 involves applying 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.

Equal Employment Opportunity: QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.