Data Scientist Lead

1 week ago

London, Greater London, United Kingdom Wise Full time

Company Overview


We are a rapidly growing fintech company, on a mission to make money without borders the new normal. With 13 million customers across the globe, we're building a new banking system that's faster, easier, and more cost-effective.



Salary: £80,000 - £110,000 per annum

Job Description

We're seeking a Senior Data Scientist to join our Growth & Strategic Finance Team in London. This role offers a unique opportunity to work behind the scenes of company transactions, understand how we grow, and provide seamless service to our customers.



This position will drive data analytics, build predictive models, and leverage machine learning to support strategic decision-making across the company. As a member of the Financial Planning and Analysis (FP&A) team, you'll partner closely with finance, operations, and product teams to uncover insights, forecast trends, and identify areas for operational efficiency and revenue growth.



Key Responsibilities:

  • Data Analysis and Visualization: Collect, clean, and process large financial and operational datasets from multiple sources. Develop and maintain interactive dashboards, reports, and visualizations to provide clear and actionable insights for FP&A stakeholders.
  • Predictive Modeling & Forecasting: Design and build predictive models and machine learning algorithms to forecast key financial metrics, including revenue, expenses, profitability, and cash flow.
  • Operational Efficiency & Automation: Identify and implement automation opportunities within data collection, reporting, and financial planning processes.
  • Data Quality & Governance: Ensure data integrity and accuracy by implementing robust data validation techniques.
  • Strategic Insights and Business Impact: Perform ad-hoc analyses to provide actionable insights for senior leadership on specific business questions or strategic initiatives.


Requirements

We're looking for a skilled and detail-oriented Data Scientist with:




  • Demonstrated experience building and deploying machine learning models in a business environment.
  • Strong Python knowledge and software engineering skills.
  • A strong product mindset with the ability to work independently in a cross-functional and cross-team environment.
  • Great communication and presentation skills.
  • Strong problem-solving skills.


Benefits: We offer a range of benefits to support your career development and well-being, including flexible working arrangements, professional training, and access to cutting-edge technology.

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