Data Scientist, Wise

• Demonstrated experience building and deploying machine learning models in a business environment. Experience with financial modelling, forecasting, and scenario analysis is a plus
• Strong Python knowledge and software engineering skills. Ability to read through code. Demonstrable experience collaborating with engineering and analytics
• A strong product mindset with the ability to work independently in a cross-functional and cross-team environment
• Great communication and presentation skills and ability to get the point across to non-technical individuals
• Strong problem solving skills with the ability to help refine problem statements and figure out how to solve them

• We are seeking a skilled and detail-oriented Data Scientist to join our Financial Planning and Analysis (FP&A) team
• This role will drive data analytics, build predictive models, and leverage machine learning to support strategic decision-making across the whole company
• As a member of the FP&A team, you will partner closely with finance, operations, and product teams to uncover insights, forecast trends, and identify areas for operational efficiency and revenue growth
• This position offers a unique opportunity to influence business strategy by transforming complex datasets into actionable insights, enabling data-driven decision-making across the organisation
• Collect, clean, and process large financial and operational datasets from multiple sources
• Develop and maintain interactive dashboards, reports, and visualisations to provide clear and actionable insights for FP&A stakeholders
• Leverage statistical methods to analyse trends, measure business performance, and assess financial impacts
• Design and build predictive models and machine learning algorithms to forecast key financial metrics, including revenue, expenses, profitability, and cash flow
• Develop scenario analyses and sensitivity models to support budgeting, forecasting, and long-term financial planning processes
• Work with finance team members to embed models within FP&A processes, improving forecasting accuracy and decision-making capabilities
• Operational Efficiency & Automation
• Identify and implement automation opportunities within data collection, reporting, and financial planning processes
• Build data pipelines and improve data infrastructure, ensuring that accurate and timely data is accessible
• Ensure data integrity and accuracy by implementing robust data validation techniques
• Train and educate team members on best practices for data usage and reporting
• Perform ad-hoc analyses to provide actionable insights for senior leadership on specific business questions or strategic initiatives
• Collaborate closely with cross-functional teams to understand business needs, translate them into analytical questions, and deliver insights that drive business performance
• Communicate findings and recommendations in a clear, concise manner to both technical and non-technical audiences

• Medical Insurance
• Health and Wellbeing Discounts
• 25 days holiday (excl. bank holidays) + 3 Me Days
• RSUs (Restricted Stock Units)
• 6 Week Paid Sabbatical
• Mobile Wiser - work remote for up to 90 days a year 🛫
• Parental Leave
• Pension and Retirement Plans
• Plus Many More!

Total funding: $396.4m

Wise started when the two founders realised they would be better off trading Estonian kroons for British pounds (and vice versa) between themselves rather than going through banks. That was back in 2011, and they've since grown Wise into one of Europe's most successful tech businesses, exchanging billions of currency every month.