Overview
In this role you will lead the Data Science team within a growing fintech start-up backed by a major banking name. You’ll drive thought leadership, tackle complex data problems, and translate insights into decision-making and new ways of working. You’ll enable rapid model prototyping and then scale successful solutions for the business. You’ll establish a program of continuous learning to keep the team world-class, with a focus on hypothesis-led work and measurable impact.
Responsibilities
- Lead and shape the Data Science team and its strategy
- Provide thought leadership on data science approaches and problem solving
- Implement and oversee a program of continuous learning and development
- Ensure work is hypothesis-led and insights drive decisions and new workflows
- Guide rapid model development and scalable deployment of solutions
- Collaborate with cross-functional teams to translate data into business impact
Key requirements
- Strong hands-on experience in ML model development
- Proficient in Python, SQL, ETL pipelines, PySpark
- Cloud data solutions experience with Synapse, Azure Data Lake, Azure Data Factory
- Proven experience leading a Data Science team
- Experience designing and delivering automated decision-making systems at scale
- Excellent commercial and financial acumen
- Strong stakeholder management
- Enthusiasm for Data Science and active community involvement
- Stakeholder management
- Leadership and people management
- Communication and collaboration
- Python
- SQL
- ETL pipelines
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