Data Scientist

At Urban Jungle, we’re making insurance fair - to people, planet and wallets. We're one of the fastest-growing businesses in the UK, working to fix one of the biggest industries in the world.

We put customers at the heart of everything we do, using data and technology to make insurance simple, flexible, and affordable.

We care about our impact on the planet, becoming a B Corp in 2022 and offsetting our carbon emissions every year.

So far, we’ve helped 300,000 customers get better insurance and become one of the top-rated home insurance providers in the UK.

We placed 1st in Tempo's 2024 award for best startup to work for, and are in the top 10 of Deloitte’s Fast 50. We’ve raised over £43m in funding to date to help us with our mission.

We’re looking for people to join our team of kind, talented people on a mission to change the insurance industry for good.

We’re looking for an enthusiastic Data Scientist to join our Data team and play a pivotal role in shaping how we leverage data at Urban Jungle.

This is an exciting opportunity to work in a high-growth tech scaleup, making an impact on core business decisions and customer experiences from day one.

You’ll collaborate with our Product, Engineering, and Commercial teams to build predictive models and data-driven solutions that power everything from eligibility checks to fraud detection, pricing, and beyond.

• Get to grips with our data platform and begin contributing to models that power core business decisions.
• Work on projects that span multiple areas, including pricing, risk assessment, and behavioural fraud detection.
• Build, deploy, and iterate on data models that bring clear and measurable value to our business.
• Collaborate with Engineering, Product, and Commercial teams to deliver data-driven products that delight our customers and drive business growth.
• Play a key role in developing our state-of-the‑art data platform, setting the standard for best practices in data science and analytics.
• Build your commercial awareness by collaborating on cross‑functional projects with teams across Urban Jungle.
• Join a fun, supportive, and ambitious team where your growth and well‑being are a top priority.

• 1+ years of experience working with data – this could be through a role, academic work, or personal projects.
• A problem‑solver who enjoys thinking creatively about how data can deliver value.
• A passion for building great data products and a willingness to roll up your sleeves across the data lifecycle – from pipelining to model deployment.
• Experience with some of the following tools and technologies (or an eagerness to learn):
  • Python and its data science ecosystem (e.g., pandas, scikit‑learn, Tensor Flow/PyTorch).
  • Statistical methods and machine learning (e.g., A/B testing, model validation).
  • Data pipelining tools like SQL, dbt, Big Query, or Spark.
• A strong communicator with the ability to communicate technical concepts into layman’s terms for a non‑technical audience.
• You’re not afraid to challenge the status quo if it means reaching a better outcome for our customers.
• Use your excellent time‑management abilities to prioritise daily tasks in accordance with overarching company goals.
• You’re ambitious, and eager to progress quickly to grow alongside the company.
• You apply yourself to everything you do, recognising the difference that makes to the business.
• You treat everyone with integrity, respect and kindness – whether it’s your colleagues, our customers, or our partners.
• You’ll be a champion of our values, and encourage others to be the same.

These requirements are a guide as to what we’re looking for, but if you don’t have all of the skills listed above, that’s okay! Please don’t let that hold you back from applying if the role excites you.

We’re taking an office‑centric approach to work (with lots of flexibility built‑in) and the team is based in Oval, London.

In addition to our positive, open working environment, you can expect the following benefits of working at Urban Jungle:

• A starting salary of between £40,000 - £41,000 and share options that can increase…