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Data Scientist - Payment Success

Checkout.com checkout.com Open · verified Oct 24, 2026
On-site London Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Checkout.com. London · full-time · no salary stated · we estimate £62,250–£94,375.

Estimated pay

Checkout.com has not published a salary for this role. The figure below is our estimate, not theirs.

£62,250 – £94,375
What the middle half of mid-level data science roles in London paid, among postings that did state a salary.
Worked out from 6 postings that stated pay, median £80,000. Last updated Oct 23, 2026.
RoleData Science
SeniorityMid-level
LocationLondon
WorkplaceOn-site
EmploymentFull-time
PostedJul 14, 2026 · 3mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Advise key merchants on payment strategies tailored to their performance needs
  • Investigate merchant data to find patterns and anomalies, then test improvements through experiments, A/B tests and machine learning
  • Build automated tools to track merchant results and improve performance
  • Measure how recommendations affect merchant performance and revenue, sharing return-on-investment findings internally and with customers
  • Work across teams to improve merchant experiences, inform product needs and spread knowledge of merchant services

What you bring

  • At least three years in an analytical position at a fintech or consultancy, using findings to guide business decisions
  • You can use SQL and Python to retrieve and analyse large datasets from a data warehouse
  • You understand major e-commerce and payment technologies and trends, and can build strong customer relationships

Who this fits

This mid-level role suits an analytical professional who can turn data into business recommendations and work directly with merchants. It is based in London, with three office days each week.

From the employer

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

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.

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

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.