Junior Data Scientist
About us At GoCardless we believe bank payments are the best way to pay and get paid. We also believe that bank account data is a powerful…
About us
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking.
GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions.
We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States.
At GoCardless, we're all about supporting you! We’re committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner — we’re here to help!
And remember: we don’t expect you to meet every single requirement. If you’re excited by this role, we encourage you to apply!
Data at GoCardless
You’ll sit in our Data & Business Systems group and will work with technical and non-technical people across the whole company. You’ll collaborate closely with our team of talented Analysts, Data Scientists, ML/AI Engineers and System Admins, designing and delivering first-class analytics to the business.
We’re a large team with an extensive remit and expect every member to work with initiative and be driven, holding each other accountable and to a high standard. Joining our team, you’ll work in a team that strives to be the best they can be. You’ll work on complex projects across GC’s data & business systems stack.
You’re looking to champion a great data culture within GC and in the wider data community;
You enjoy collaborating and learning from people from various backgrounds and experiences;
You want to feel proud of the work you’re doing and its impact on real customers.
Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include: Looker, Vertex, Claude code, Python, Looker, Google Cloud Platform, dbt, and Jupyter amongst others.
You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team.
The Role
At GoCardless we are focused on developing AI and advanced analytics capabilities that power strategic decisions and intelligent systems across the business. As a Junior Data Scientist you will be working within the Analytics team and will be partnering with product, engineering, operations, and commercial teams to embed intelligent decisioning and AI into our products and internal systems. You’ll help people in all areas of GoCardless make better, faster, more data-driven decisions. Analytics is part of our Data & Business Systems Group which at its heart exists to maximise day-to-day efficiency and productivity within GoCardless. We do this by bringing together teams that span data & technology to provide a 1 stop shop for our customers.
Data collection: Identifying relevant sources, specifying data requirements, and retrieving the data.
Data cleaning: Inspecting the data, handling missing values and outliers, transforming the data, standardising formats, and validating the cleaned data
Data visualisation: Using visualisations to tell data stories to a variety of audiences.
Data analysis: Interpreting results, finding insights, and spotting trends and fluctuations.
Data Modelling: Building data science prototypes and taking them all the way to a live, measurable solution.
Documentation: Documenting the information and content that will be consumed and processed.
Assisting the team: Helping members
Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.
£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)
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