Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
About the role
- Head of Data driving data strategy and team at Uncapped, a fintech startup. Leading credit scoring models and business insights with a world-class data ecosystem.
Responsibilities
- Lead Data Strategy & Team Build and mentor a high-performing data organisation while architecting the company-wide data vision that directly supports our mission to turn data into instant capital access. You'll establish governance policies and core principles that enable autonomous, data-driven decision-making across the business.
- Build Innovative Underwriting Capabilities Partner with Risk and Engineering teams to develop cutting-edge credit decisioning models using alternative data sources (Shopify sales, bank transactions, stock levels) rather than traditional credit bureaus. Scale our underwriting infrastructure to support both internal lending and underwriting-as-a-service for acquired loan books, making our vision of data-driven capital access a reality for every e-commerce business.
- Own Data Infrastructure & Platform Design and evolve our automated data platform, building scalable pipelines that ingest large volumes of forward-looking data while consolidating existing sources. Balance infrastructure development with cost optimization and query performance to support our high-growth trajectory.
- Drive Data Quality & Governance Establish rigorous standards for data collection, security, and compliance. Create the single source of truth for critical business entities and implement processes that ensure engineering teams build features on solid data foundations, critical for maintaining trust in our data-driven underwriting model.
- Enable Cross-functional Impact Partner with Risk, Product, and Sales to deliver actionable insights, self-service analytics, and models that monitor portfolio health and unlock revenue opportunities. Assess costs and benefits of new data initiatives to drive commercial value as we scale rapidly.
Requirements
- 8-10+ years in data leadership roles, with proven track record leading "0-to-1" data projects in fast-paced startup environments
- Expert-level proficiency in SQL, Python, and Cloud Data Architectures (GCP/AWS/Azure)
- Deep understanding of machine learning models and API integrations
- Strong background in agile methodologies and experience building automated self-service analytics tools
- Thrives in high-growth, rapidly evolving environments where priorities shift and pace is intense
- Understanding of how data-driven businesses leverage information to drive profitability and how data quality impacts the bottom line
- Ability to balance hands-on execution with long-term strategic planning
- Commercial acumen to assess cost-benefit of new data sources and initiatives
- Note: While fintech or lending experience is valuable, we're open to candidates from other data-intensive industries who demonstrate strong technical leadership and strategic thinking.
Benefits
- Unlimited holiday: we believe that well-rested and happy people make the best employees
- Competitive compensation plan
- Personal growth fund: Raise your game from great to spectacular
- Monthly recognition and awards: Celebrate wins big and small
- The opportunity to make a big impact every day on the lives of European and US entrepreneurs.
- Workspaces in Warsaw, London and Atlanta
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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