Senior Risk Data Scientist: ML for Lending & Growth

Harnham; Greater London; Vor Ort; GBP 70.000 - 100.000; Vollzeit

Zusammenfassung

Harnham is seeking a Senior Data Scientist for a fast-growing fintech client where data science informs lending, risk and business performance. You will develop machine learning solutions and work with a data-driven team to apply advanced analytics to commercial decisions.

You’ll build predictive models, deploy them, and create dashboards for stakeholders while collaborating with product and engineering to embed data-driven solutions across products.

Qualifikationen

• Data Scientist with strong commercial experience in data-rich environments.
• Advanced Python and SQL for analysis, modelling and data manipulation.
• Hands-on experience developing and deploying machine learning models.
• Ability to translate complex analytical findings into clear business recommendations.

Aufgaben

• Analyse large and complex datasets to identify trends and actionable insights.
• Build and deploy ML models to support forecasting, risk assessment and fraud detection.
• Develop predictive models that drive commercial and operational decisions.
• Create dashboards and visualisations to communicate findings to technical and non-technical stakeholders.
• Partner with product, engineering and commercial teams to embed data-driven solutions into products and processes.
• Work with data engineering teams to optimise data infrastructure and analytical workflows.
• Support ML operations and model lifecycle management best practices.

Kenntnisse

Python

SQL

ML models

Predictive analytics

Stakeholder comms

Jobbeschreibung

Harnham is seeking a Senior Data Scientist for a fast-growing fintech client where data science informs lending, risk and business performance. You will develop machine learning solutions and work with a data-driven team to apply advanced analytics to commercial decisions.

You’ll build predictive models, deploy them, and create dashboards for stakeholders while collaborating with product and engineering to embed data-driven solutions across products.