Data Scientist - AI & Core data
- 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
- Experience
- A bachelor's 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. "Our job isn't done until the job is done"
- 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 'the whole is greater than the sum of it's parts'. That's 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 don't 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
- Intro call | 15 - 20 minutes
- Skills Assessment | 1 hour
- Culture and Fit Interviews | 1 hour
Stotles data in numbers
- 8M 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 £130/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 £400 you can use for these items: a keyboard, monitor, mouse, office chair, desk, headphones
- Monthly affectionately-termed "TeamChills™": our in-person team-bonding socials covering anything from mini-golf, to communal taco-eating and summer picnics
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