Data Scientist

Data Scientist

Full-Time 40000 - 41000 £ / year (est.) Home office (partial)
Urban Jungle Insurance

At a Glance

  • Tasks: Join our Data team to shape data-driven solutions and impact core business decisions.
  • Company: Urban Jungle, a fast-growing tech scaleup revolutionising the insurance industry.
  • Benefits: Competitive salary, share options, 25 days leave, and well-being support.
  • Other info: Fun, supportive team with rapid career progression and vibrant social activities.
  • Why this job: Make a real impact while working on exciting projects that challenge you.
  • Qualifications: 1+ years of data experience; creativity in problem-solving and eagerness to learn.

The predicted salary is between 40000 - 41000 £ per year.

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.

Here’s what you’ll get up to:

  • 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.

You’ve read this far! Here’s what we’re looking for from you:

  • 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, TensorFlow/PyTorch).
  • Statistical methods and machine learning (e.g., A/B testing, model validation).
  • Data pipelining tools like SQL, dbt, BigQuery, 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.

About our offer

  • We’re taking an office-centric approach to work (with lots of flexibility built-in) and the team is based in Oval, London.
  • A starting salary of between £40,000 - £41,000, and share options that can increase alongside performance and growth.
  • 25 days paid annual leave, plus public holidays.
  • Rapid Progression. We’ll give you the opportunity to experience loads, and develop rapidly.
  • Real Impact. You’ll work on big, interesting problems that will challenge you, and do so in a way that has a positive impact on people’s lives, the planet and our community.
  • A Clear Plan. We’ll give you the clarity on what we want to achieve, with the freedom and autonomy for you to decide how we get there.
  • The Best People. You’ll be surrounded by teammates who are exceptional at what they do, whilst being kind, honest people who champion our values.
  • A dedicated development budget, access to a senior mentor, and training on whatever you need to do your job well.
  • Well-being support. We’re committed to supporting both physical and mental well-being through access to therapy, weekly onsite yoga, and subsidised sports clubs.
  • Enhanced parental leave. Support for parents returning to work.
  • All. The. Fun. We regularly organise awesome socials and have some vibrant team communities such as book club and foodies.

About us

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.

About our commitment

Urban Jungle is an equal-opportunity employer and fairness and respect are at the heart of who we are and how we work. We do not discriminate based on race, age, ethnicity, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity or disability. We know that in order to build a truly successful business, we need a team of diverse individuals who can offer a variety of skills, experiences and perspectives.

Data Scientist employer: Urban Jungle Insurance

Urban Jungle Insurance is an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. As a high-growth tech scaleup, we prioritise employee development with generous progression opportunities, dedicated development budgets, and comprehensive wellbeing support, all within a collaborative culture that empowers you to make impactful contributions from day one.

Urban Jungle Insurance

Contact Details:

Urban Jungle Insurance Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist

Get Involved in Data Science Meetups

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Show Off Your Projects

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Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Urban Jungle Insurance.

Apply Directly through Our Website

When you find a suitable opening like Data Scientist at Urban Jungle Insurance, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Scientist

Data Analysis
Predictive Modelling
Machine Learning
Statistical Methods
Python
SQL
Data Pipelining

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Urban Jungle Insurance, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Urban Jungle Insurance. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Urban Jungle Insurance

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Urban Jungle Insurance!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.