Data Scientist (ID: U0jypbOe)

Data Scientist wanted to join our Data team and play a pivotal role in shaping how we leverage data. 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 the company.
• Join a fun, supportive, and ambitious team where your growth and well-being are a top priority.

What we’re looking for from our Data Scientist:

• 1+ years of experience in data science (or equivalent academic 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 improving the outcome for our customers.
• Use your excellent time management abilities to prioritise daily tasks by 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 at Workspace in Oval, London. In addition to our positive, open working environment, you can expect the following benefits of working with us:

• 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. You’ll get tons of responsibility from day one, and all the feedback, coaching and support you need to fuel your career growth.
• 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, and support for parents returning to work.

We regularly organise awesome socials and have some vibrant team communities such as book club and foodies.

About our commitment

We are 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 to build a truly successful business, we need a team of diverse individuals who can offer a variety of skills, experiences, and perspectives

Position: Data Scientist  -  Salary: £40,000 to £41,000  -  Location: London