- Location
- London
- Employment
- Full time
- Posted
- 6 weeks ago
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
As a Commercial Data Scientist at Checkout.com, you will be the primary operator of our Growth Prediction Engine. Your focus will be to maintain and evolve the models that underpin our commercial strategy, working closely with Strategic Finance and Revenue Operations.
The growth forecasting framework is an established roadmap. You will own the execution of these models while working in a shared-delivery model where tasks are distributed across the wider Data Science team.
How You’ll Make an Impact
Advance our ML-Driven Forecasting: Own, maintain, and continuously enhance our ML-driven revenue growth models. You will be responsible for pushing these models to the next level and proactively expanding their use cases beyond the commercial domain.
Drive Strategic Financial Modeling: Partner with Strategic Finance to build robust projections and simulations based on our forecast model outputs, approaching this with the mindset of building scalable, automated tools rather than just ad-hoc reports.
Unlock Commercial Data Science Applications: Work closely with the Revenue Operations team to identify, unlock, and deploy other high-impact commercial data science applications that increase the quality and utilization of our data.
Champion Best Practices: Lead by example within your team and the broader data community by applying best practices in analytics and machine learning, from data collection to deployment and analysis.
What We’re Looking For
Strong proficiency in SQL and Python with experience building and maintaining predictive models.
Prior experience as a Data Scientist in a commercial set-up, delivering predictive models/timeseries models to aid sale/demand forecasting
Experience working with cross-functional partners (Finance, Product, and Ops) to deliver actionable insights.
Ability to explain technical data concepts to non-technical stakeholders clearly and concisely.
Prior experience in a commercial, fintech, or high-growth environment is preferred.
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
As published by Checkout.com. Applications are handled on their site.
One click, then it is written
Apply to Checkout.com with a resume written for this role.
Queue Commercial Data Scientist and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Checkout.com’s form for you.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- 25 sent a week, free
- No card
- Nothing sent until you say so
More roles at Checkout.com
See all- Today
- Today
- Yesterday
- Yesterday
- 2 days ago
- 2 days ago
Similar roles elsewhere
See morePut this to work
Paste your career in once. Every application after that is written for you.
Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- New matches ranked and written before you are up.
- Every bullet stays inside what your history supports. Nothing invented.
- Queued, submitted, interviewing, offer: one screen, not a spreadsheet.
500 free credits on sign-up. No card. Nothing is sent until you say so.
Listed from the job board Checkout.com publishes. Refolk is not the employer and does not handle their hiring. Applications go to Checkout.com directly.