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Product Data Scientist
Product Data Scientist at Checkout.com
About the Company
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.
The Role: Product Data Scientist
As a Product Data Scientist, you'll work as part of a cross-functional team alongside product managers, designers, and software/analytics engineers, using data and analytical expertise to influence the strategy of our Operations and Compliance products.
You'll focus on two main domains:
- AML Transaction Monitoring: Optimise our rules-engine and scale predictive automation.
- Merchant Care: Measure tooling efficiency and apply text analytics to inform product roadmaps.
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Key Responsibilities:
- Help define how we measure product success.
- Collaborate with engineers on data collection.
- Build analytical frameworks and run insights to identify product improvement opportunities.
- Work closely with similar titles like Senior Data Scientists, Analytics Engineers, and Data Product Managers to develop your practice.
How You’ll Make An Impact
Efficiency & Product Measurement
- Build frameworks to measure operational efficiency and ROI of new software releases and internal tooling updates within Merchant Care.
Data Partnerships
- Work closely with Data Analytics Engineers and Software Engineers to ensure data quality and coherence, supporting high-integrity business insights.
Data-Driven Automations and Solutions
- Run historical data simulations to analyse how changes in AML rule thresholds affect review backlogs and suggest optimal SQL-based alerts.
- Support the development and testing of a Level 1 (L1) automated discounting agent for transaction monitoring alerts, while building upon existing team frameworks.
- Use clustering technique and LLM-based summary extraction on merchant ticket conversations to identify recurring friction points and guide future roadmap features.
What We’re Looking For
Technical Skills
- Excellent data interrogation skills with SQL ability to write and iterate through Python for data science.
- Foundational working knowledge of ML applications. (You don’t need production deployment experience but should understand data science workflows, statistics, clustering, basic NLP workflows).
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Core Attributes
- Analytical mindset: Ability to translate operational challenges into data-driven action plans.
- Clear communication: Ability to bridge gaps between data insights and non-technical stakeholders like Product Managers and Operations teams.
Experience
- Prior experience, or strong internship experience in:
- Product analytics
- Risk/compliance data
- High-growth tech environments (highly desired)
Bring Your Best to Work
At Checkout.com, we empower high performers. You’ll own your work, face minimal blockers, and see impact from day one.
We foster cultures of collaboration and ownership, providing opportunities for bold thinking and personal growth. Here, you can define your career trajectory and see others succeed as well.
We welcome applicants from all backgrounds andsupport inclusivity—a good fit is determined by workplace contributions and shared goals.
Life at Checkout.com
Flexible Work Culture
We offer a hybrid work model. You’ll [spend 3 days per week in-office] for meetings, collaboration, and connection.
Explore our Careers Portal to learn more about company culture, open roles and team values.
For insight into team life, explore Checkout.com’s activity via LinkedIn and Instagram.
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