Data Scientist

Data Scientist – B2B SaaS (Price Optimisation for Retail Banks)

A fast-growing, profitable B2B SaaS company is looking for an ambitious Data Scientist to help advance its price optimisation platform used by major retail banks. Their software guides mortgage and savings pricing decisions, delivering millions in additional revenue for clients. With a strong UK & Ireland client base and a rapidly expanding pipeline, this is a rare early-stage opportunity in a bootstrapped, high-growth business.

This is an exciting time to join the company, with a small but growing set of clients in the UK and Ireland. After recent successes, they have built a very promising pipeline of new clients, with revenues expected to increase significantly in the next year. The company is bootstrapped (no VC or angel investment) and is already very profitable.

The Role

You’ll play a key part in improving and building machine learning models and data pipelines that power the platform. This is a hands-on, proactive role focused on continuous improvement across modelling, automation, and client-facing insights.

You will work on:

• Enhancing ML pipelines: validation, classification, clustering, predictive models, neural networks, optimisation.
• Automating and streamlining data refresh processes.
• Producing client presentations and providing pricing insights.
• R&D on new modelling and optimisation approaches.
• Supporting business development and pitch materials.

What You’ll Bring

• Degree in a STEM field (Maths, CS, Engineering).
• Experience in data science or consulting.
• Strong Python/Pandas skills.
• Entrepreneurial mindset and proactive problem-solving.
• Hands-on machine learning experience.

Nice to have: large datasets, data engineering, pricing/optimisation, client presentations, banking/FS experience, plus any of: PySpark, Azure, SQL, HTML/CSS/JS, VBA, Power BI, Power Automate.

What’s on Offer

• Competitive salary + compelling profit share.
• Equity options.
• Flexible working, including up to 2 months per year “work anywhere”.
• Rapid growth and promotion opportunities.
• 25 days holiday, increasing to 30 with tenure.

Notes:

• UK right to work required (no visa sponsorship).

• Willingness to work in London up to 2 days/week and travel to clients.