Position Details
Senior Data Scientist (Permanent, Hybrid) – London, Full time, Employee
About the Role
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 will 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.
Having the right to work in the UK is a requirement for this role. QBE may consider sponsorship at its discretion.
Typical Responsibilities
- 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.
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
- 30 days holiday a year with the option to buy up to 2 additional days.
- Flexible working – part‑time, job share and compressed hours are available.
- Pension – automatic enrolment with 10% employer contributions of basic salary.
- Private medical insurance – fully comprehensive cover for you and your family.
- Family friendly policies – 26 weeks leave at full pay regardless of gender identity, sexual orientation or how you become a parent.
- Short‑term remote work abroad – up to 20 days per year to work remotely from certain locations abroad.
- Sustainable investing – pension strategy supports net‑zero goal and invests in green businesses.
- Cycle‑to‑Work – benefit up to £5,000 for bike or accessories.
Equal Employment Opportunity
QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
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