Data Scientist, Marshmallow

• You are naturally curious and hands-on, all things data and ML related
• You have a commercial mindset and focus on driving meaningful business impact
• You communicate clearly across both technical and non-technical teams
• You care about the customer journey and want to make hard moments easier
• You’re pragmatic and outcome-oriented, not wedded to complexity for its own sake
• You enjoy solving real operational problems with cutting edge tools, especially where human judgment and automation intersect
• You value simplicity, clarity, and strong data foundations
• Experience building and deploying ML models that deliver measurable business results
• Understanding of how to evaluate performance within risk decisioning, including performance trade-offs and operational considerations
• Familiarity with A/B testing and measuring model impact
• Proficiency in Python and SQL
• At least 2+ years of professional experience in data science or similar roles

Desirable

• We’re now looking for a Data Scientist to join our Claims Tribe, where we are on a mission to transform how we handle claims by using data and AI to make faster and smarter decisions that improve outcomes and reduce costs 🎯
• This is a critical area of the business that directly affects our loss ratio, operational efficiency and customer satisfaction
• You will build intelligent systems that help us solve the right claims at the right time for the right cost by combining predictive models, agentic AI workflows and automation to guide and accelerate decisions across the claim lifecycle
• That includes decisioning models, fraud detection, prioritisation and workflow logic
• There are high impact problems to solve, and you will be part of a team that is actively redefining what great looks like in claims handling through the use of frontier AI tools and human in the loop systems
• Owning and delivering data science solutions that improve how we triage, prioritise and resolve claims with measurable impact on cost, speed and customer experience
• Building and deploying predictive models that support automated decisions or enable better human ones (e.g. risk triage, fraud signals, case prioritisation, exception handling)
• Collaborating with engineers, product managers and claims experts to embed your models into our internal systems and tools
• Supporting an experimentation-first mindset with A/B tests and analytics to prove business value
• Contributing to the definition of KPIs and analytical processes that help us evaluate and continuously improve claims performance
• Exploring opportunities to apply emerging AI technologies such as agentic systems and large language models to streamline workflows and assist decision makers in real time

• We break it up into a few stages:
• Initial call with our Talent Acquisition Partner - 30 mins
• A past experience interview where you will discuss your journey so far and ways of working with Marília, our hiring manager - 60 mins
• A technical interview with a couple of the team - 90 mins
• A culture interview with a bar raiser to see if your work style fits our processes and values (and vice versa!) - 60 mins