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Checkout.comAll Departments

Senior Data Scientist

LondonFull-timeSeniorSalary: Not disclosed
Posted Jul 21, 2026Deadline: Nov 21, 2026
Job SnapshotActively hiring
LocationLondon
Job typeFull-time
SalaryNot disclosed
DeadlineNov 21, 2026

Finjobsly Role Intelligence

Experience level
Senior
Work style
Hybrid
Visa sponsorship
Not specified
Salary
Not disclosed
Key skills
PythonAWSGCPDockerPaymentsMachine Learning

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Finjobsly Intelligence— Generated from the employer's job description

What you'll own

Lead advanced optimisation projects and design scalable ML architectures, including custom loss functions, evaluation frameworks, and distributed data pipelines, while mentoring junior team members and ensuring production‑grade code and test coverage.

What they're looking for

5+ years building large‑scale machine‑learning models, strong expertise in frequentist and Bayesian statistics, supervised/unsupervised techniques, model explainability, and production‑grade Python; ability to work with Spark/Dask and communicate with product stakeholders.

Why this role matters

The role drives Checkout.com’s payment flow improvements by delivering robust, multi‑objective ML solutions that power decisioning systems for billions of transactions worldwide.

Best suited to

Candidates who thrive on solving complex, high‑impact problems, enjoy shaping architecture, mentoring others, and bridging technical work with business goals in a fast‑moving fintech environment.

Fintech requirements

Visa sponsorship: No
Work arrangement: hybrid

About this role

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.

About the Role

Checkout.com is looking for an experienced Senior Data Scientist to lead advanced optimisation projects and champion the development of robust, sustainable ML architectures. You will be responsible for the enhancing payment flow through data and ML services, advancing the complex problem of multi-objective optimisation. You will work closely with other Senior and Staff Data Scientists to shape the architecture of our decisioning systems.

What you'll do

  • Lead projects and architecture design for multi-objective optimisation and scalable models.
  • Create custom loss functions, evaluation, and tuning frameworks that reflect complex business problems.
  • Collaborate with product stakeholders to align technical strategy with business goals and resolve blockers across the team.
  • Apply efficient data transformations using distributed computing (e.g., Spark, Dask) and ensure robust test coverage for production systems.
  • Mentor junior team members and utilise model explainability methods to drive feature performance improvements.

About You

  • 5+ years of experience in designing, building and maintaining machine learning models to solve complex, large-scale business problems.
  • Deep understanding of frequentist and Bayesian statistics, plus supervised and unsupervised modelling techniques.
  • Proven experience modelling complex interactions (e.g., cluster or network effects).
  • Expertise in model explainability to tune feature engineering and understand feature interactions.
  • Ability to write high-quality, production-grade Python code and collaborate effectively with non-technical stakeholders.
  • Proficient in leveraging LLMs for coding support and process optimisation to maximise personal and team productivity.
  • Adept at tuning technical communication for broad audiences.
  • Proven ability to build trusting relationships with product stakeholders and deeply understand business models.

Nice to have

  • Experience with distributed general-purpose cluster-computing.
  • Proven experience designing and deploying recommender systems, contextual bandits, or network intelligence applications.
  • Experience in fintech, payments or similar domains.
  • Experience with Docker, AWS/GCP, and modern ML deployment practices.

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

More about this role

About company

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Checkout.com

Full employer profile →

Required skills

PythonAWSGCPDockerPaymentsMachine Learning

Explore more

More Data Jobs→More jobs at Checkout.com→Python jobs →AWS jobs →Salary benchmarks for this role →Browse all fintech jobs →

Checkout.com

Senior Data Scientist

LondonSalary: Not disclosed

Company insights

70

70/100 estimated sentiment

AI Estimate

AI estimate from public information — not verified employee data

Checkout.com launches stablecoin acceptance with Coinbase

Checkout.com launched a Coinbase Payments-powered capability enabling eligible enterprise merchants to accept stablecoin payments from consumers.

June 2026From the webCheckout.com Newsroom→

Checkout.com returns to full-year EBITDA profitability

Checkout.com reported an adjusted EBITDA margin above 10% for 2025, over $300B in payment volume, 64% volume growth and more than 30% net revenue growth.

February 2026From the webCheckout.com Newsroom→

Ashley Paulus appointed to lead UK and European revenue growth

Checkout.com named Ashley Paulus VP, Head of Revenue for the UK and EEA, putting her in charge of commercial strategy and enterprise growth across the regions.

February 2026From the webCheckout.com Newsroom→

Employee share buyback values Checkout.com at $12 billion

Checkout.com offered employees liquidity through a share buyback at a $12B valuation, a 30% increase from its previous internal valuation.

September 2025From the webForbes→

AI Generated Insights