Data Scientist, Stotles

As part of our Data & Platform Team, you'll lead the charge in pushing the boundary of what's possible. You'll not only drive the breadth, depth, and quality of our data, but you'll also harness AI to make it faster, smarter, and easier to use. Your work will transform complex datasets into clear, actionable insights that empower our users to move quickly and make confident decisions. This is about more than accuracy. It's about impact. It's about shaping how users experience our product — turning raw information into answers, signals, and next steps. You'll help us stay ahead by building data that's not just reliable, but radically useful. Your attention to detail, combined with a rigorous, scientific mindset, will help us measure, monitor, and continuously improve the systems that underpin our platform. In this role, you'll work at the heart of the Data & Platform Team and closely collaborate with our Product Lead, Engineers, Chief Product Officer (CPO), and Chief Technical Officer (CTO) to tackle the exciting challenge of scaling our AI capabilities, platform, and operations. Together, you'll ensure our AI-powered tools set the standard for quality, reliability, and impact—helping the product team deliver an exceptional, trusted platform for public sector insights. Design and implement algorithms, models, and workflows to improve, enrich, and unify our core data assets. You'll help us build smarter, more connected datasets that power our products. Proactively explore and evaluate new data sources with a sharp focus on their potential product and market value. You'll assess how these datasets can strengthen our AI tools, improve user outcomes, and unlock new growth opportunities - balancing data quality, collection methods, and commercial impact. Work with product managers, engineers, and the commercial team to ship, measure, and improve our AI-driven tools. You'll design evaluation frameworks, monitor system performance, and use insights to continuously improve outcomes through prompt engineering, system design, and optimisation. Autonomously create, manage and improve efficiency of key processes to clean & enrich Stotles data by pushing towards automation and decreasing workload for engineers & dependence on external vendors. Build and maintain structured processes to track Stotles data quality and coverage, using both qualitative and quantitative approaches. Partner with teams across the business to ensure our data and AI capabilities support Stotles expansion in new geographies & verticals.

Stotles is aiming to break down the barriers to government contracting, so more firms can compete for public sector contracts, not just those with the right contacts. They do this by using lots of government data to identify business opportunities in the public sector, and match them with the companies on their platform. The platform, which gets its name from Aristotle, enables suppliers to follow indicators, track potential contract renewals, monitor buyers, and monitor competitors. The founders have been at the intersection of public and private sectors, at firms such as the World Economic Forum, Boston Consulting Group, and Bloomberg. They have experienced the pain of bidding for public work beforehand, which gave them the idea.