Data Scientist - AI & Core data
London Office
Full Time Mid-level / Intermediate GBP 50K - 70K
Stotles is the single platform to grow your public sector business. One tool where you can: create strategy, build pipeline, track tenders and win bids.
We help public sector teams move from disconnected workflows, mountains of data, unqualified opportunities and painful collaboration to a single, end-to-end process so you can focus on what really matters. Winning more contracts.
We provide AI-enhanced decision-making at every stage of the public sector sales cycle to help you identify the best opportunities, summarise complex information, and automate tedious tasks - so you can focus on strategy and winning bids.
Donât take our word for it! Stotles is used and trusted by public sector teams at Salesforce, Snowflake, Civica, SAP, Palo Alto, Appian, Vodafone, AtkinsRĂ©alis, CGI, Moodyâs, Genesys, Splunk, Dun & Bradstreet, UiPath, Zscaler, Zoom and more.
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About this Role & Why We're Hiring
It's never been a more exciting time at Stotles. Here's why we're looking for you.
Our data is the foundation of our product, our growth, and the value we deliver. As we scale, itâs not enough to have the most complete, highest quality data in the market â we need to make that data as useful as possible. As part of our Data & Platform Team, youâll lead the charge in pushing the boundary of whatâs possible. Youâll not only drive the breadth, depth, and quality of our data, but youâll 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. Itâs about impact. Itâs about shaping how users experience our product â turning raw information into answers, signals, and next steps. Youâll help us stay ahead by building data thatâs not just reliable, but radically useful.
The ideal candidate is a curious, analytical problem-solver with a passion for building and improving data systems that power real-world AI tools. You understand that small, continuous improvements can dramatically enhance system performance, user experience, and product quality over time. Youâll take a hands-on, proactive approach to developing algorithms, shaping AI-driven workflows, and streamlining processes that raise the bar for our data quality, coverage, and scalability. Your attention to detail, combined with a rigorous, scientific mindset, will help us measure, monitor, and continuously improve the systems that underpin our platform. A willingness to roll up your sleeves and get your hands dirty is essentialâyou wonât just plan solutions, youâll build them, test them, and deliver outcomes that matter.
In this role, youâll 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, youâll ensure our AI-powered tools set the standard for quality, reliability, and impactâhelping the product team deliver an exceptional, trusted platform for public sector insights.
Comp Range: ÂŁ50,000 - ÂŁ70,000 dependent on experience, plus equity
What You'll Do
Design and implement algorithms, models, and workflows to improve, enrich, and unify our core data assets. Youâll 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. Youâll 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. Youâll 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
Who We're Looking For
Experience
A bachelorâs degree in a technical or analytical field (e.g., STEM, economics, finance, etc.) is helpful, but not required
At least two years of experience working hands-on with complex data analytics/science are a must-have
Experience working in a fast-paced professional work environment where analytical thinking & rigorous organisation were required - e.g. high growing tech start-up, consulting (the list can be longer) - is highly valued
Proven experience analysing, improving, or working with data in a real production environment - where your work directly informed business decisions and made a tangible impact on your organisation - is appreciated
Mentality
Likes to roll up your sleeves and get your hands dirty. âOur job isnât done until the job is doneâ
Ready to tackle the last mile when needed, and motivated by taking on challenges that stretch your personal capability
Open to feedback and happy to collaborate. Aristotle said âthe whole is greater than the sum of itâs partsâ. Thatâs how we work!
Unafraid to say, "I don't know the answer. But I have a few ideas on how we can find out".
Methods
Analytical: you are able to search for patterns based on qualitative/quantitative insights and identify the causes for the pattern
Highly organised: you have a high attention to detail and donât let things fall through the cracks.
Data-driven and outcome-focused: you can track, interpret and evaluate outcomes to show impact.
Pragmatic: capable of focusing on the highest priorities and apply the 80/20 rule to achieve them (i.e. what 20% of the work will drive 80% of the impact?).
Skills
Highly proficient English (written and spoken)
Proficient in querying & manipulating data with SQL
Hands-on-experience with Python for working with data
Proven ability to analyse and interpret data and evidence to inform business decisions
Nice to have: experience with data visualisation tools such as Metabase/Tableau etc
Nice to have: working knowledge MS Office / equivalent business tools
Most importantly, we're looking for curious, ambitious people who love to learn and want to be a part of building something special. If (for any reason) you don't fit our requirements but you're passionate about our vision, don't hesitate to apply!
đYou at Stotles
Equality, Diversity & Inclusion
Next steps
Intro call | 15 - 20 minutes
Skills Assessment | 1 hour
Culture and Fit Interviews | 1 hour
We're excited to meet you!
Stotles data in numbers8M Procurement notices from UK & EU
15K UK government organisations
90K Government policy & strategy documents
180K Government contacts
80M Invoices published by the government bodies in UK
1.5M Government suppliers in UK & EU
Transparent and competitively benchmarked salaries
Equity dependent on experience
A generous health cash plan (Covers dental, optical, physical therapy, consultations, etc.)
A personal health, wellness, and development allowance of ÂŁ130/month to spend on gym memberships, therapy, yoga classes... any experience that keeps your mind and body healthy.
25 days vacation + bank holidays
A dedicated learning and development budget you can use for books, conferences, courses, events
Office in Central London (Farringdon)
A hybrid working environment with 3 days in office for Commercial and Ops and 1-2 days for Product and Engineering and flexible work-from-home opportunities
A work-from-home setup budget of ÂŁ400 you can use for these items: a keyboard, monitor, mouse, office chair, desk, headphones
Monthly affectionately-termed "TeamChillsâąïž": our in-person team-bonding socials covering anything from mini-golf, to communal taco-eating and summer picnics
Tags: Consulting Data Analytics Data quality Economics Engineering Finance Metabase Prompt engineering Python Salesforce Snowflake Splunk SQL STEM Tableau
Perks/benefits: Career development Conferences Flex hours Flex vacation Health care Home office stipend Startup environment Team events Wellness Yoga
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