Data Scientist

Data Scientist
London
£40,000

Are you ready to make an impact in one of the fastest-growing businesses in the UK? Do you want to join a company that's revolutionising an entire industry, making it fairer for people, better for the planet, and more affordable for everyone? We're working with a rapidly growing tech scaleup, on a mission to change the way the world thinks about insurance. They've been recognised for their fast growth, environmental commitment, and dedication to customer experience, and are now looking for an enthusiastic Data Scientist to join their talented Data team.

About the Company:
This company is on a mission to make insurance simple, flexible, and affordable through data and technology. They are passionate about their environmental impact, becoming a B Corp in 2022 and offsetting their carbon emissions every year.

What you'll be doing:
* Dive into the company's data platform and immediately start contributing to models that drive important business decisions.
* Work across key projects such as pricing, risk assessment, fraud detection, and more.
* Develop, deploy, and iterate on data models that directly influence business outcomes and customer experiences.
* Collaborate with Engineering, Product, and Commercial teams to deliver innovative, data-driven solutions.
* Help shape and improve the company's cutting-edge data platform and analytics processes.
* Play a key role in cross-functional projects, contributing to both business strategy and technical development.
* Join a supportive, ambitious team that prioritises your growth and well-being.

What we're looking for:
* Commercial experience as a Data Scientist
* Strong problem-solving skills with a passion for discovering creative ways to use data for business value.
* Experience working across the full data lifecycle, from data pipelines to model deployment.
* Familiarity with tools like Python (pandas, scikit-learn, TensorFlow/PyTorch), SQL, BigQuery, dbt, or Spark (or an eagerness to learn!).
* Knowledge of statistical methods and machine learning, such as A/B testing and model validation.
* Excellent communication skills, with the ability to simplify technical concepts for non-technical audiences.
* Strong time management skills, with the ability to prioritise tasks and work towards broader company goals.
* A collaborative approach with the ability to work across diverse teams.

How to apply:
Please register your interest for this role by sending your CV to Rosie O'Callaghan via the apply link on this page