TL;DR

Senior Data Scientist (Data Science & ML): Leading high-impact projects involving data analysis, machine learning model development, deployment, and monitoring across marketing, credit risk, fraud detection, and pricing. Focus on full project lifecycle ownership, stakeholder engagement, and delivering business value through advanced ML techniques.

Location: Hybrid role based in London office with 2-3 days onsite per week and option to work abroad up to 120 days per year (subject to right to work)

Company

%hirify_global% is a pioneering fintech company redefining banking with a focus on customer-centric financial services and advanced machine learning-driven lending decisions.

What you will do

Lead and own the full lifecycle of data and modelling projects from discovery to deployment and monitoring.
Engage with senior stakeholders to influence business decisions and impact products affecting millions of customers.
Collaborate closely with product managers, analysts, data engineers, and software engineers to advance projects.
Support and mentor other data scientists through knowledge sharing, code reviews, and infrastructure collaboration.

Requirements

Location: Hybrid role requiring presence in London office 2-3 days per week
Proven experience solving complex data problems and delivering business value.
Strong Python skills and familiarity with software engineering best practices including Git, Docker, CI/CD, and REST APIs.
In-depth knowledge of machine learning algorithms and statistics.
Excellent communication skills to influence stakeholders and foster collaboration.
Passion for innovation and continuous learning in data science.

Nice to have

Experience with causal inference modelling.
Domain knowledge in financial services, especially consumer lending or credit risk.
Experience building and deploying generative AI systems.
People management experience.

Culture & Benefits

Flexible working with hybrid setup and option to work abroad up to 120 days per year.
Inclusive and diverse workplace with nearly 50 nationalities represented.
Focus on work-life balance and employee well-being.
Supportive environment encouraging innovation and impact.