FAQs
What is the title of the position being offered?
The title of the position is Graduate, Data Science & Analytics.
What type of degree should candidates have?
Candidates should have a Bachelor’s degree or Master’s in a quantitative field such as Data Science, Business Analytics, Computer Science, Engineering, or Mathematics.
What are the programming skills required for this role?
Proficiency in programming with Python and the ability to interrogate data with SQL are required.
Who will I work with during the Graduate Program?
You will work alongside experienced professionals including world-class data scientists and analytics engineers, as well as collaborate with product managers and commercial leaders.
What can I expect from the #NextGen Graduate Program?
The program offers extensive learning experiences through technical training, professional development workshops, and direct access to industry experts, along with networking events and mentoring opportunities.
When should candidates have graduated to be eligible for this role?
Candidates should have graduated by July 2026 or have graduated within the last 2 years.
What are some key responsibilities of this role?
Key responsibilities include building data foundations, collaborating across teams to translate business requirements into data insights, and continuously uncovering insights to measure ROI.
Is experience in Fintech necessary for this position?
No prior experience in Fintech is necessary; however, a genuine interest in Fintech and Analytics is encouraged.
What is the working model at Checkout.com?
Checkout.com offers a hybrid working model, requiring three days per week in the office to support collaboration and connection.
How does Checkout.com support individual growth within the company?
Checkout.com creates conditions for high performers to thrive through real ownership, fewer blockers, and recognition of impactful work from day one.
What qualities does Checkout.com look for in a candidate?
They look for a curious, motivated, innovative problem solver who is eager to learn, has strong attention to detail, and can communicate findings clearly to both technical and non-technical peers.