Data Scientist - Payment Success

London, United Kingdom

Checkout.com

Boost your acceptance rate, cut processing costs, fight fraud, and create extraordinary customer experiences with Checkout.com's payment solutions.

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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

The role

 

We empower businesses in the digital economy, and we know that every payment counts. Our Payment Performance team’s mission is to manage and optimise merchants’ payment flow, to achieve optimal conversion, compliance and cost. 

Checkout.com is looking for a Data Scientist in Payment Success to craft an all-encompassing payments strategy tailored specifically for our Tier-1 merchants. You will be the main point of contact for a merchant regarding their payment performance. You will play a critical role in defining, delivering and building tools for the right insights to showcase the value of our optimal payment strategies. 

You will work closely with Payment Performance engineers and data scientists leveraging cutting-edge technology and data insights. You will also collaborate regularly with other teams and cross-functional stakeholders to establish priorities and drive merchant performance improvements.

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.

How you’ll make an impact

  • Deliver expertise and guidance to our key merchants by crafting optimal payments strategy. 
  • Conduct deep-dive exploratory data analysis to uncover insights and anomalies
  • Conduct experiments and A/B tests to improve performance, including ML based solutions. 
  • Develop cutting-edge automation tools aimed at monitoring and optimising merchants’ performance.
  • Implement robust measurements to assess how proposed solutions impact merchants' performance and revenue, providing valuable insights for both internal and external ROI.
  • Collaborate with various teams across the company to ensure an outstanding merchant experience and feed requirements for product development
  • Elevate internal awareness, particularly within the executive team, regarding the full spectrum of merchant services and benefits provided
  • Drive a culture of cross-team learning and knowledge sharing

Qualifications

What we’re looking for

  • 2+ years in the FinTech and/or Payments industry, ideally providing payment analysis and strategic advice to stakeholders
  • Data driven approach, by clearly defining success metrics and measuring progress against them
  • SQL / Python knowledge to extract & analyse large data from our Data Warehouse
  • Bachelor’s degree, preferably in Mathematics / Statistics / Computer Science / Engineering, Finance or equivalent
  • Good knowledge of today’s major e-commerce and payments technologies and trends
  • Customer driven and able to establish robust relationship with assigned customer base

Additional Information

Apply without meeting all requirements statement 

If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values.

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: A/B testing Computer Science Data analysis Data warehouse E-commerce EDA Engineering Finance FinTech Machine Learning Mathematics Python SQL Statistics

Perks/benefits: Career development Flex hours

Region: Europe
Country: United Kingdom
Job stats:  22  6  0
Category: Data Science Jobs

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