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- Tasks: Join our team to develop ML models that optimize payment performance for global merchants.
- Company: Checkout.com is a leading fintech empowering businesses in the digital economy with innovative payment solutions.
- Benefits: Enjoy a hybrid work model, amazing office snacks, and a supportive, inclusive culture.
- Why this job: Make a tangible impact in a high-stakes area while collaborating with passionate problem-solvers.
- Qualifications: 4+ years of ML experience, strong Python skills, and a background in Financial Services/FinTech required.
- Other info: We value diversity and are committed to creating an accessible work environment for everyone.
The predicted salary is between 43200 - 72000 £ per year.
- Full-time
- Cost Center Hierarchy: Technology
- CKO Department: Technology
Company Description
Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it’s not just what we build that makes us different. It’s how.
We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re on the Forbes Cloud 100 list and a Great Place to Work accredited company. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow.
Job Description
We’re on the lookout for a Senior Data Scientist to join our Acceptance Rates team, working on end-to-end research and development of Machine Learning models to optimise the payment performance of our merchants.
You’ll be responsible for continually improving existing models and identifying new opportunities to apply Machine Learning to solve real world problems, using cutting-edge approaches such as Reinforcement Learning.
The work this team does has a proven track record of moving the needle within a product area that has high strategic importance to Checkout.com, so there’s huge opportunity for tangible impact.
Key Responsibilities:
- You will be expected to make substantial contributions to the research & development of new ML models.
- Advise on where the team should be focusing its efforts to improve model performance.
- Design and implement experiments to produce actionable insights and improve model performance.
- Collaborate with other data scientists and engineers to productionise ML features/models.
- Write high-quality Python for feature engineering and model training.
Qualifications
Must have:
- At least 4 years experience applying ML to solve real-world problems.
- Prior experience in a Financial Services/FinTech business.
- Solid software engineering skills and able to write high-quality Python code.
- Experience in mentoring more junior members of the team.
- Experience applying scientific methods and thoughtful experimental design.
- Experience with Docker.
- Experience with AWS or at least another common cloud platform (GCP/Azure).
Nice to have but not essential:
- PhD/MSc in Machine Learning or other STEM field.
- Ideally some familiarity with reinforcement learning techniques.
Additional Information
Hybrid Working Model: All of our offices globally are onsite 3 times per week (Tuesday, Wednesday, and Thursday). We’ve worked towards enabling teams to work collaboratively in the same space, while also being able to partner with colleagues globally. During your days at the office, we offer amazing snacks, breakfast, and lunch options in all of our locations.
We believe in equal opportunities: We work as one team. Wherever you come from. However you identify. And whichever payment method you use. Our clients come from all over the world — and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success.
When you join our team, we’ll empower you to unlock your potential so you can do your best work. We’d love to hear how you think you could make a difference here with us.
We want to 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. We’ll be happy to support you.
Take a peek inside life at Checkout.com via
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Senior Data Scientist - Payment Acceptance London employer: Checkout Group
Contact Detail:
Checkout Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Payment Acceptance London
✨Tip Number 1
Familiarize yourself with Checkout.com's mission and values. Understanding their focus on empowering businesses in the digital economy will help you align your experiences and skills with their goals during discussions.
✨Tip Number 2
Highlight your experience with Machine Learning, especially in financial services or fintech. Be ready to discuss specific projects where you've applied ML to solve real-world problems, as this is crucial for the role.
✨Tip Number 3
Prepare to demonstrate your software engineering skills, particularly in Python. You might be asked to solve coding challenges or discuss your approach to writing high-quality code, so practice articulating your thought process.
✨Tip Number 4
Showcase your collaborative spirit and mentoring experience. Since the role involves working with other data scientists and engineers, sharing examples of how you've successfully collaborated and guided junior team members will set you apart.
We think you need these skills to ace Senior Data Scientist - Payment Acceptance London
Some tips for your application 🫡
Understand the Company: Before applying, take some time to understand Checkout.com’s mission and values. Familiarize yourself with their payment solutions and the impact they have on businesses globally.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in applying Machine Learning to real-world problems, especially in the Financial Services or FinTech sectors. Mention specific projects where you made a tangible impact.
Showcase Technical Skills: Make sure to detail your software engineering skills, particularly in Python, and any experience you have with Docker and cloud platforms like AWS. Provide examples of how you've used these skills in past roles.
Express Your Passion for Collaboration: Since the role involves collaboration with other data scientists and engineers, convey your enthusiasm for teamwork and mentoring. Share experiences where you successfully worked in a team setting or guided junior members.
How to prepare for a job interview at Checkout Group
✨Showcase Your ML Expertise
Be prepared to discuss your experience with machine learning in detail. Highlight specific projects where you've applied ML to solve real-world problems, especially in the financial services or fintech sectors.
✨Demonstrate Your Python Skills
Since high-quality Python coding is crucial for this role, be ready to share examples of your code or discuss your approach to feature engineering and model training. Consider preparing a small coding exercise to showcase your skills.
✨Discuss Experimental Design
The role emphasizes thoughtful experimental design. Be prepared to explain how you approach designing experiments, including any scientific methods you've used to derive actionable insights from your work.
✨Emphasize Collaboration and Mentorship
Collaboration is key at Checkout.com. Share experiences where you've worked closely with other data scientists or engineers, and highlight any mentoring roles you've taken on to support junior team members.
