Data Scientist

About the Role

Learn the domain of products that [Employer hidden] serves, understanding the data that informs strategy and risk modelling is essential to being able to successfully contribute value. Rigorously search for the best models that enhance underwriting quality. Clearly communicate results to stakeholders through verbal and written communication. Share ideas with the wider team, learn from and contribute to the body of knowledge.

Our team’s objectives:

• The data science team develops proprietary risk models which are core to the company’s success
• We work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions
• We self-serve with all deployment and monitoring, without a separate machine-learning-engineering team

Join us if you want to:

• Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of [Employer hidden] from day 1
• Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo
• Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting

Who you are

• Experience using Python and SQL
• Strong proficiency with PyData stack
• Knowledge of machine learning techniques
• Confident communicator and contributes effectively within a team environment
• Self driven and willing to lead on projects / new initiatives

Desirable

• Interest in machine learning engineering
• Interest in data engineering
• Prior experience with credit risk modelling
• Prior experience with use of LLMs for document question answering

Application process

A phone call with one of the team

An exercise to complete in your own time

Onsite Interview:

• Discuss the exercise you completed
• Meet the team you’ll work with daily
• Meet the exec team

Company Benefits

• Best-in-class compensation, including equity
• Comprehensive private health insurance (including dental, optometry and general wellbeing)
• Multiple opportunities to socialise with your team and the wider company
• Equipment provided for you to do your best work!
• You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas (hybrid)
• Our in-house chefs prepare fresh, healthy lunches in the office every Tuesday-Thursday
• EV car scheme (Octopus)
• Cycle to work scheme
• Pension
• 25 days of annual leave - excluding bank holidays
• 50% off gym memberships at Virgin Active and Nuffield (via Vitality health insurance)