Pricing Data Scientist - Python

We are partnering with a well known insurer as it establishes its presence in the Lloyd’s market, offering a unique opportunity to join a growing presence within the London Market at a pivotal stage of its development. If you are a Senior Risk Analyst looking to progress into a Risk Manager role, this could be the perfect next step. Key Requirements: 💥 Proven experience within the Lloyd’s/London Market insurance environment. 💥 Demonstrated ability to lead and deliver the ORSA process end to end. 💥 Strong stakeholder management skills, with the ability to engage effectively across the business. Apply here is you are interested or reach out to tyler-rose.kellaway@arthur.co.uk

An international consulting firm is hiring a Data Scientist to join its growing General Insurance team. Unlike larger consultancies, the team operates lean, offering genuine breadth of work, high visibility to senior stakeholders, and the ability to shape your own development across multiple actuarial & analytical domains. The team works predominantly with Lloyd’s syndicates with additional exposure to personal lines insurers and MGAs. The Role This position sits within a client-facing data function focused on analytical build, reporting and enablement — rather than pricing model development. Typical work includes: ✔ building dashboards & MI for insurers ✔ developing data pipelines & analytical tooling ✔ supporting client transformation projects ✔ reporting & insight delivery ✔ exposure to capital, reserving, pricing and M&A advisory This role would suit someone who enjoys the intersection of data, actuarial concepts and commercial problem solving, rather than pure model R&D. What They’re Looking For You will likely have: • 1–3 years in GI analytics, pricing, actuarial, or consulting (PL or CL) • Good communicator — able to work directly with clients & stakeholders • Solid reporting experience (e.g. dashboards, MI, performance analytics) • Ability to collaborate with cross-functional teams (claims, UW, actuarial, data etc.) Technical experience beneficial: • Python and/or R • SQL • BI tools (Power BI / Tableau / Looker) Actuarial exam progress is a plus, especially if you’re interested in a longer-term FIA pathway (consultancy can support this).

A rapidly scaling specialist insurer is hiring a Home Data Scientist to help shape the pricing strategy of its growing Home Insurance business. This sits within a fast-moving group structure spanning Broker → MGA → Underwriter, providing a rare level of visibility, data access, and commercial influence. The Role Reporting to the Home General Manager, you’ll take ownership of analytical work that supports pricing decisions, commercial strategy, and product performance. This is a high-impact role suited to someone at Senior Analyst or Junior Manager level who wants broader responsibility, faster decision cycles, and direct line of sight to business outcomes. Key Responsibilities • Produce high-standard pricing & performance analyses with minimal review • Make proactive recommendations on rating action and product changes • Present insights concisely to senior stakeholders with commercial context • Balance technical rigour with trading conditions and speed to market • Work with MI Data teams to improve BAU data visibility and reporting • Contribute to pricing structure development as the portfolio scales What They’re Looking For • Personal lines pricing experience (Risk/Demand/Street preferred) • Home experience advantageous but not essential • Strong statistical understanding; able to explain patterns & drivers • Exposure to ML for analysis or production useful • Python & SQL beneficial