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- Tasks: Lead the development of a growth forecasting engine for Checkout.com.
- Company: Join one of the world's top fintechs, empowering businesses in the digital economy.
- Benefits: Enjoy a collaborative culture, flexible work options, and recognition as a Great Place to Work.
- Why this job: Make a real impact on business strategy while working with top brands and diverse teams.
- Qualifications: Experience as a Sr. Data Scientist with strong skills in SQL, Python, and predictive modeling.
- Other info: We value diversity and encourage applicants from all backgrounds to apply.
The predicted salary is between 43200 - 72000 £ per year.
Senior Data Scientist, Commercial Analytics
- Full-time
- Cost Center Hierarchy: Product
- CKO Department: Technology
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.
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.
About the role:
As we scale our business, we want to build the next-generation growth prediction engine for Checkout.com. As a Data Scientist, you’ll work closely with our Strategic Finance team and wider Revenue Operations and Commercial teams. You’ll develop a deep understanding of how the payments industry works. You’ll build and own our growth forecasting engine that will inform the strategic and commercial direction of Checkout.com. You’ll actively help drive the change in operational processes to improve data quality and completeness while continuously unveiling insights that can guide our Strategic Finance and Commercial Leadership.
How you’ll make an impact:
- Working closely with Strategic Finance, you’ll develop and maintain revenue growth modeling. This will be a critical piece of delivery that enables everything we do, including how we plan and run the business.
- Support commercial and financial leaders with insights and analysis to plan commercial and business strategy.
- Work closely with the wider Commercial and Revenue Operations team to increase the quality and availability of commercial data.
- Lead by example, your team, and the broader data community by applying best practices in analytics from data collection to analysis.
Minimum Requirements:
- Prior experience as a Sr. Data Scientist in a commercial set-up, delivering Customer LTV, Churn, and Revenue growth models to aid business planning.
- Demonstrable experience applying statistics and data science techniques, building predictive models.
- Strong communicator, able to explain complex technical data topics to non-technical colleagues.
- Prior experience working directly with senior stakeholders, including VPs and executives.
- Excellent data interrogation skills using SQL and Python.
- While it’s not mandatory, prior experience in an Enterprise Sales environment would be helpful.
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.
Take a peek inside life at Checkout.com via
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Senior Data Scientist, Commercial Analytics London employer: Checkout Group
Contact Detail:
Checkout Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Commercial Analytics London
✨Tip Number 1
Familiarize yourself with the payments industry and Checkout.com's role within it. Understanding the nuances of how payment systems work will help you articulate your insights and strategies effectively during discussions with the Strategic Finance and Commercial teams.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for data interrogation and predictive modeling. Consider working on personal projects or contributing to open-source initiatives that showcase your ability to apply these skills in real-world scenarios.
✨Tip Number 3
Prepare to demonstrate your experience in delivering Customer LTV, Churn, and Revenue growth models. Be ready to discuss specific examples from your past roles where your analytical insights directly influenced business planning and strategy.
✨Tip Number 4
Highlight your communication skills by practicing how to explain complex data topics in simple terms. This will be essential when interacting with non-technical colleagues and senior stakeholders, ensuring that your insights are understood and actionable.
We think you need these skills to ace Senior Data Scientist, Commercial Analytics London
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Scientist position. Familiarize yourself with the payments industry and how your skills can contribute to Checkout.com's mission.
Tailor Your CV: Customize your CV to highlight relevant experience in data science, particularly in commercial settings. Emphasize your work with predictive models, revenue growth, and any experience with SQL and Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of Checkout.com's goals. Mention specific examples of how your previous work aligns with the role and how you can help drive insights for the Strategic Finance team.
Showcase Communication Skills: Since strong communication is key for this role, provide examples in your application of how you've successfully explained complex data topics to non-technical stakeholders. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
How to prepare for a job interview at Checkout Group
✨Understand the Payments Industry
Before your interview, make sure to research the payments industry thoroughly. Understand key players, trends, and challenges. This knowledge will help you demonstrate your ability to contribute to Checkout.com's mission and show that you're serious about the role.
✨Showcase Your Data Science Skills
Be prepared to discuss your experience with predictive modeling, customer LTV, and churn analysis. Bring examples of past projects where you've successfully applied statistics and data science techniques, especially in a commercial context.
✨Communicate Effectively
As a Senior Data Scientist, you'll need to explain complex data topics to non-technical stakeholders. Practice articulating your thoughts clearly and concisely. Use simple language to convey your insights and ensure everyone understands your contributions.
✨Engage with Senior Stakeholders
Highlight your experience working with senior leaders, including VPs and executives. Be ready to discuss how you've influenced business decisions through data-driven insights. This will show that you can navigate the corporate landscape effectively.
