Senior Data Scientist

Company: hackajob
Apply for the Senior Data Scientist
Location: London
Job Description:

Senior Data Scientist

London – Permanent (Hybrid) – Full time – Employee

About the Role

As a Senior Data Scientist, you will be a key member of 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.

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 available.
  • Pension – automatic enrollment with 10% employer contribution on basic salary.
  • Private medical insurance 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.
  • Sustainable investing – pension strategy aims for net‑zero carbon footprint.
  • Cycle‑to‑Work – up to £5,000 for bike and 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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Posted: May 21st, 2026