Lead Data Scientist - AI, Risk & Growth

Raylo; Greater London; Hybrid; GBP 110.000 - 170.000; Vollzeit

Benefits dieser Stelle

Career progression opportunities

Device lease for employees

Private medical insurance

Stock options for all employees

L&D budget

Hybrid working model

33 days off (23 + 8) with flexible use

Enhanced parental leave

Zusammenfassung

Raylo is seeking a Lead Data Scientist to build and scale its data science function, shaping the strategy for machine learning across the business. You will own end-to-end development of production models for credit risk, churn and recommendations, partnering with product, risk and engineering to deliver measurable business impact.

You’ll lead a high-calibre team, drive data-driven decision making, and help Raylo accelerate growth as it expands internationally, all within a hybrid working

Qualifikationen

• 7+ years of experience in data science and predictive modelling.
• Credit risk, fraud, or default modelling experience essential.
• 2:1+ from a top university, STEM preferred.
• Strong stakeholder management and communication skills.

Aufgaben

• Define and lead Raylo’s data science function and roadmap.
• Own end-to-end design, build and deployment of production ML models (credit risk, churn, recommendations).
• Collaborate with product, engineering, risk, operations and commercial teams to identify opportunities.
• Translate modelling approaches into clear commercial benefits for the business.
• Coach and grow the data science team while delivering IC projects.

Kenntnisse

ML model development

Credit risk modelling

Data science leadership

Stakeholder management

Production deployment

Communication skills

Ausbildung

2:1 STEM degree

Tools

Python

ML frameworks

Jobbeschreibung

Raylo is seeking a Lead Data Scientist to build and scale its data science function, shaping the strategy for machine learning across the business. You will own end-to-end development of production models for credit risk, churn and recommendations, partnering with product, risk and engineering to deliver measurable business impact.

You’ll lead a high-calibre team, drive data-driven decision making, and help Raylo accelerate growth as it expands internationally, all within a hybrid working