Product Data Scientist

Checkout.com; London; On-site; GBP 52,000 - 76,000; Full time

Job summary

Checkout.com is seeking a data analytics professional to shape the strategy of our Operations and Compliance products. You will work across AML Transaction Monitoring and Merchant Care domains, building frameworks, shaping data collection, and turning insights into product improvements.

You'll collaborate with Senior Data Scientists, Analytics Engineers, and Product Managers, owning measurement, data quality, and alert automation to drive impact in a fast-growing fintech environment.

Qualifications

• SQL is the core capability used to interrogate data
• Python or R skills strengthen the profile but don't replace SQL
• Foundations in statistics, clustering, and NLP basics are valued
• Analytical mindset to turn problems into data-driven solutions
• Strong communication to explain insights to non-technical stakeholders
• Not an entry-level role; 2-3 years in data science or product analytics, with startup/scale-up exposure

Responsibilities

• Measure impact of new tooling in Merchant Care and assess ROI
• Protect data quality by partnering with engineers to model the right data
• Optimize AML rules by simulating past data and refining logic
• Automate alerts and build an agent for low-risk cases
• Find insights in text by clustering and summarising support conversations

Skills

SQL

Python

Data science foundations

Analytical mindset

Communication

Experience 2-3 years

Job 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 team

Data Analytics is a highly visible function that directly shapes Checkout.com's success. You'll join the Business & Operations Analytics squad, working alongside product managers, designers, and software and analytics engineers to influence the strategy of our Operations and Compliance products.

You'll be backed by Senior Data Scientists, Analytics Engineers, and Data Product Managers as you grow your practice.

The role

You'll work across two connected domains:

• AML Transaction Monitoring — the automated rules that flag suspicious transactions for review. You'll improve how those rules work and help automate alert handling.

• Merchant Care — the tools and support experience for our merchants. You'll measure whether new tools save time, and mine support conversations to show product teams what to build next.

You'll define how we measure product success, shape what data we collect, build the frameworks that turn it into insight, and surface opportunities to improve the product.

What you'll do

• Measure impact — build frameworks for the efficiency and ROI of new tooling in Merchant Care, so we know which changes are worth it.

• Protect data quality — partner with engineers to capture and model the right data for trustworthy insights.

• Optimise AML rules — run simulations on past data to see how rule changes affect review backlogs, and recommend better logic for our SQL-based alerts.

• Automate alerts — help build and test an agent that clears clearly low-risk alerts, freeing specialists for the cases that matter.

• Find insight in text — cluster and summarise support conversations (using AI) to spot recurring merchant problems and guide the roadmap.

What success looks like

In your first 6-12 months, you'll help:

• deflect % of Merchant Care contacts through better tooling;

• deliver rule-threshold recommendations that cut review backlogs for Compliance and Product;

• get the automated alert-handling agent tested and into use.

What we're looking for

• SQL (essential) — advanced data interrogation. This is the core technical requirement and is assessed in the process.

• Python or R (a plus) — scripting for data science strengthens your application, but doesn't substitute for strong SQL.

• Data science foundations — statistics, clustering, and basic NLP. No production ML needed, but you know how to apply these methods.

• Analytical mindset — you turn messy operational problems into structured, data-informed solutions.

• Communication — you explain insights and analytical logic clearly to non-technical stakeholders.

• Experience — ~2-3 years in professional data science or product analytics, with at least 1-2 in a fast-moving startup/scale-up. A strong internship can count towards this alongside 1-2 years of professional work; this is not an entry-level role, and internships alone won't be enough.

Nice to have

• Exposure to product analytics, or risk / compliance / financial-crime data.

• A high-growth technology or payments background.

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.