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- Tasks: Lead the development of a growth forecasting engine for Checkout.com.
- Company: Join Checkout.com, a top fintech empowering businesses in the digital economy.
- Benefits: Enjoy a collaborative culture, flexible work options, and a diverse team.
- Why this job: Make a real impact on business strategy while working with industry leaders.
- Qualifications: Experience as a Sr. Data Scientist with strong skills in SQL and Python required.
- Other info: We value diversity and support your success in a welcoming environment.
The predicted salary is between 43200 - 72000 £ per year.
Senior Data Scientist, Commercial Analytics
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. 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. Join us to build the digital economy of tomorrow.
Job Description
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.
Data Analytics at Checkout.com is a highly visible function that critically impacts the company’s success. It underpins our business plans and forms the basis for how we set our company objectives. You’ll have a wider support network of Analytics Engineers, Product Data Scientists, and Data Product Managers.
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.
Qualifications
- 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, you can 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.
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.
Take a peek inside life at Checkout.com via
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
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Senior Data Scientist, Commercial Analytics employer: Checkout.com
Contact Detail:
Checkout.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Commercial Analytics
✨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 give you a significant edge in interviews, as you'll be able to speak knowledgeably about the challenges and opportunities in this space.
✨Tip Number 2
Highlight your experience with revenue growth modeling and predictive analytics. Be prepared to discuss specific projects where you've successfully implemented these models, as this will demonstrate your ability to contribute to Checkout.com's strategic goals.
✨Tip Number 3
Showcase your communication skills by preparing to explain complex data concepts in simple terms. Since you'll be working with non-technical stakeholders, being able to bridge that gap is crucial for success in this role.
✨Tip Number 4
Network with current or former employees of Checkout.com on platforms like LinkedIn. Gaining insights from their experiences can provide you with valuable information about the company culture and expectations, which can help you tailor your approach during the application process.
We think you need these skills to ace Senior Data Scientist, Commercial Analytics
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Senior Data Scientist position. Familiarize yourself with the payments industry and how data analytics plays a crucial role in business strategy.
Tailor Your CV: Customize your CV to highlight relevant experience in commercial analytics, particularly in building predictive models and delivering insights that drive business growth. Emphasize your skills in SQL and Python, as well as your ability to communicate complex data topics to non-technical stakeholders.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of Checkout.com's mission. Discuss how your previous experiences align with the company's goals and how you can contribute to building the next-generation growth prediction engine.
Showcase Your Impact: In your application, provide specific examples of how your work has positively impacted previous employers. Highlight any successful projects related to customer LTV, churn, or revenue growth models, and explain how these experiences will help you succeed at Checkout.com.
How to prepare for a job interview at Checkout.com
✨Understand the Payments Industry
Before your interview, make sure you have a solid understanding of how the payments industry operates. Familiarize yourself with key players, trends, and challenges in the sector. This knowledge will help you demonstrate your ability to contribute to Checkout.com's mission.
✨Showcase Your Data Science Skills
Be prepared to discuss your experience with predictive modeling, customer LTV, churn, and revenue growth models. Highlight specific projects where you've successfully applied statistics and data science techniques, and be ready to explain your thought process and methodologies.
✨Communicate Effectively
As a Senior Data Scientist, you'll need to communicate complex data topics to non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the impact of your work on business decisions and strategy.
✨Engage with the Team's Culture
Checkout.com values collaboration and inclusivity. During the interview, express your enthusiasm for working in diverse teams and your commitment to fostering an inclusive environment. Share examples of how you've contributed to team dynamics in previous roles.
