Senior Data Scientist - Growth and Strategic Finance
Senior Data Scientist - Growth and Strategic Finance
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Job Description
Were looking for a Senior Data Scientist to join our growing Growth & Strategic Finance Team in London.
This role is a unique opportunity to work behind the scenes of company transactions understand how we grow and at the same time provide our customers with the seamless service they deserve. What you build will have a direct impact on Wises mission and millions of our customers.
We are seeking a skilled and detailoriented 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 decisionmaking 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 datadriven decisionmaking across the organisation.
Heres how youll be contributing:
Data Analysis and Visualization
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.
Predictive Modeling & Forecasting
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 longterm financial planning processes.
Work with finance team members to embed models within FP&A processes improving forecasting accuracy and decisionmaking 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.
Data Quality & Governance
Ensure data integrity and accuracy by implementing robust data validation techniques.
Train and educate team members on best practices for data usage and reporting.
Strategic Insights and Business Impact
Perform adhoc analyses to provide actionable insights for senior leadership on specific business questions or strategic initiatives.
Collaborate closely with crossfunctional 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 nontechnical audiences.
A bit about you:
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 crossfunctional and crossteam environment;
Great communication and presentation skills and ability to get the point across to nontechnical individuals;
Strong problem solving skills with the ability to help refine problem statements and figure out how to solve them.
Additional Information :
For everyone everywhere. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.
Were proud to have a truly international team and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what its like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
