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Checkout.com

Data Scientist - Payment Success

London
Level
Mid
Work type
On-site · London

Not stated in the posting: salary, visa.

Open. First seen 2 October 2026.

Apply on the company's site →

About the role

Checkout.com's standard text

Company Description

We’re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.

We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.

Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.

If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.

With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.

How you’ll make an impact

  • Deliver expertise and guidance to our key merchants by crafting optimal payments strategy.
  • Conduct deep-dive exploratory data analysis to uncover insights and anomalies
  • Conduct experiments and A/B tests to improve performance, including ML based solutions.
  • Develop cutting-edge automation tools aimed at monitoring and optimising merchants’ performance.
  • Implement robust measurements to assess how proposed solutions impact merchants' performance and revenue, providing valuable insights for both internal and external ROI.
  • Collaborate with various teams across the company to ensure an outstanding merchant experience and feed requirements for product development
  • Elevate internal awareness, particularly within the executive team, regarding the full spectrum of merchant services and benefits provided
  • Drive a culture of cross-team learning and knowledge sharing

What we’re looking for

  • 3+ years in an analytical role either at a Fintech or Consultancy, using analysis to make business recommendations
  • A huge advantage if you have previous experience working as Payment Analyst/Expert
  • Data driven approach, by clearly defining success metrics and measuring progress against them
  • SQL / Python knowledge to extract & analyse large data from our Data Warehouse
  • Good knowledge of today’s major e-commerce and payments technologies and trends
  • Customer driven and able to establish robust relationship with assigned customer base

Additional Information

Checkout.com's standard text

Bring all of you to work

We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.

Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.

We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.

It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.

Life at Checkout.com

We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.

Checkout.com's standard text

Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us.

For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram

What this role asks for

Particular to this role

Data Warehousing

Rare in Checkout.com's other 90 open postings.

Standard for data science / ML roles

Python · SQL

Common in data science / ML postings at any company.

42% of this description is written for the role. The rest is Checkout.com's standard text, folded away below.

Read against Checkout.com's other open postings on this site.

The team: Software engineering HIRES STEADILY

This role is one of 22 open in Software engineering. 11 were posted in the last 30 days and the oldest in June: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

C# (11 of 22), Java (11 of 22), .NET (10 of 22), AWS (10 of 22), Microservices (10 of 22), Agile (9 of 22), Python (9 of 22)

OTHER ROLES ON THIS TEAM

From the team and dates on Checkout.com's own job board.

See Data Scientist salaries in London →

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