Lead Data Scientist

4 weeks ago

London, United Kingdom Checkout Group Full time

Lead Data Scientist, Commercial Analytics
Full-time
Technology Checkout.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’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. As a Data Scientist, you’ll work closely with our Strategic Finance team and wider Revenue Operations and Commercial teams. 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.You'll have a wider support network of Analytics Engineers, Product Data Scientists, and Data Product Managers. 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. 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 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. Hiring hard-working people and giving them a community to thrive in is critical to our success. Hiring hard-working people and giving them a community to thrive in is critical to our success.

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