Overview

Role overview: Our mission is to create the leading suite of exploratory and data products in the industry, empowering our pricing, data and analytics (PDA) community to move faster and deliver more, with major commercial impact. Skywalker is our automated trading platform and is at the heart of what we do. It maximises underwriting pricing efficiency and hosts a growing suite of tooling that's being adopted across the wider business. We are expanding Skywalker\'s capabilities and looking for curious, motivated people to help support the PDA community in getting the most out of it. This role is open to junior and mid-level applicants, including graduates, provided you meet the technical requirements and bring a learning mindset.

Responsibilities

• Prototype new enhancements to the Skywalker toolkit.
• Contribute to adoption and rollout of Skywalker tools across new teams.
• Support the pricing, modelling, engineering and related teams by streamlining and scaling pricing and underwriting processes.

Technical skills

• Python (scripting, automation, or light data wrangling).
• SQL (confident with queries and joins).
• Git & GitHub (branching, pull requests, code reviews).
• Some commercial awareness — experience with pricing, market dynamics, underwriting, or strong business impact instinct is helpful.

Personal Attributes

• Accountable: confident owning and solving problems and challenging the status quo.
• Brilliant communicator: able to engage and trade information clearly in any setting.
• Collaborative: enjoys helping others get the most out of Skywalker.
• Responsive: comfortable context-switching across multiple workstreams.
• Lifelong learner: seeks growth with and without direction.
• Curious: enjoys exploring how things work and how they can be improved.
• Creative: comfortable prototyping or hacking to learn quickly.
• Optimistic: believes change is possible and worth pursuing.
• Highly analytical: able to interpret complex data sets to identify patterns, trends and actionable insights.

Bonus/Preferred Skills

• Automation of processes/pipelines for data, analytics or operations.
• ML-specific Python libraries (e.g. pandas, scikit-learn, xgboost).
• Big data tooling (e.g. Snowflake/snowpark, pyspark).
• Cloud computing – especially Azure.

Role context

We\'re a digital insurance provider with a clear strategy to become the best and biggest player in the UK market. We invest in technology, pricing, data and analytics capabilities, and in our people. The Finance team is building a market-leading finance technology platform with a focus on commercially adding value to the business. We welcome applications from all suitably skilled persons and support fair access to recruitment.

Interview process

• Recruiter screening call
• Take home assessment
• Interview with hiring team

Disability Confidence

As a Disability Confident employer, we ensure fair access to support and adjustments throughout the recruitment journey and welcome applications through the Disability Confident Scheme (DCS).

Benefits

• Flexible hybrid working.
• Competitive bonus scheme and financial wellbeing benefits.
• Life assurance, income protection, matched pension contributions up to 10%.
• Mental wellbeing programme and support resources.
• 25 days annual leave plus bank holidays, with optional leave adjustments.
• Additional benefits including health care, dental plans, cycle to work, tech schemes, and more.