At a Glance
- Tasks: Lead the design and deployment of ML models to drive business growth.
- Company: Join Raylo, a fast-growing AI-driven company with a collaborative culture.
- Benefits: Fast-track career progression, private medical insurance, stock options, and hybrid working.
- Other info: Opportunity to mentor a team and redefine ML workflows in an innovative environment.
- Why this job: Shape the future of data science while making a real impact on the business.
- Qualifications: 7+ years in data science, strong technical leadership, and stakeholder management skills.
The predicted salary is between 75600 - 92400 £ per year.
Overview
Lead Raylo's data science function to design, build, and deploy production-grade ML models that drive credit risk, churn, and recommendations.
You will shape the data science strategy, mentor the team, and collaborate cross-functionally to unlock growth as the company scales internationally.
Expect to redefine ML workflows with agentic architecture and cutting-edge models, delivering measurable commercial impact.
This role combines hands-on technical leadership with strategic vision in a fast-growing, AI-driven business.
- Pay / Benefits
- Fast-track career progression
- Exclusive Raylo device lease
- Private medical insurance
- Stock options for all employees
- L&D budget for skills
- Hybrid working model
Responsibilities
- Own end-to-end design, build and deployment of production-grade ML models (credit risk, churn prediction, recommendations)
- Partner with product, engineering, risk, operations, and commercial teams to identify high-impact ML opportunities and move them from ideation to action
- Redesign data science processes around agentic architecture and latest LLM models
- Shape and grow Raylo’s data science function to scale over the next five years
- Define and lead the data science roadmap and how AI transforms the data practice
- Contribute to decision-making and impact by translating complex modelling into clear business value
- Key requirements
- 7+ years in data science and predictive modelling
- Degree with 2:1 or higher from a top university, preferably STEM or quantitative
- Production deployment of ML models and practical hands-on technical leadership
- Experience coaching and growing a data science function while delivering IC-level projects
- Strong stakeholder management and ability to drive data-driven decision making across diverse teams
- Ownership mindset and proactive delivery in a fast-paced, cross-functional environment
- stakeholder management
- cross-functional collaboration
- strong communication
- state-of-the-art ML models
- production-grade ML deployment
- credit risk modelling
Lead Data Scientist in London employer: Raylo
Raylo is an exceptional employer that fosters a dynamic and inclusive work culture, particularly in our Belfast location. With a hybrid work model and a focus on employee growth, we provide opportunities for professional development while encouraging a collaborative environment where your contributions directly impact our success in the fintech space.
