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- Tasks: Lead data-driven projects, design algorithms, and enhance AI tools for public sector insights.
- Company: Stotles is revolutionising public sector business with a single platform for strategy and winning bids.
- Benefits: Enjoy competitive salaries, equity options, health cash plans, and a generous wellness allowance.
- Why this job: Join a dynamic team shaping the future of AI in public sector, making impactful decisions daily.
- Qualifications: 2+ years in data analytics; STEM degree preferred but not required; hands-on experience essential.
- Other info: Flexible hybrid work environment with fun team bonding activities and a supportive culture.
The predicted salary is between 40000 - 56000 £ per year.
Join to apply for the Data Scientist – AI & Core data role at Stotles
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Join to apply for the Data Scientist – AI & Core data role at Stotles
Stotles.
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.
Hi there, We\’re Stotles.
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.
Dont take our word for it! Stotles is used and trusted by public sector teams at Salesforce, Snowflake, Civica, SAP, Palo Alto, Appian, Vodafone, AtkinsRéalis, CGI, Moodys, Genesys, Splunk, Dun & Bradstreet, UiPath, Zscaler, Zoom and more.
Learn More
Working at Stotles
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, its not enough to have the most complete, highest quality data in the market we need to make that data as useful as possible . As part of our Data & Platform Team , youll lead the charge in pushing the boundary of whats possible. Youll not only drive the breadth, depth, and quality of our data, but youll 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. Its about impact. Its about shaping how users experience our product turning raw information into answers, signals, and next steps. Youll help us stay ahead by building data thats 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. Youll 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 essential you wont just plan solutions, youll build them, test them, and deliver outcomes that matter.
In this role, youll 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, youll ensure our AI-powered tools set the standard for quality, reliability, and impacthelping the product team deliver an exceptional, trusted platform for public sector insights.
Comp Range: £50,000 – £70,000 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. Youll 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. Youll 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. Youll 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 bachelors 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
- Likes to roll up your sleeves and get your hands dirty. Our job isnt 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 its parts. Thats how we work!
- Unafraid to say, \”I don\’t know the answer. But I have a few ideas on how we can find out\”.
- 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 dont 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?).
- 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!
You at Stotles
Benefits & Perks
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 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
Benefits and perks
- 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
Compensation Range: £50K – £70K
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Data Scientist - AI & Core data employer: Stotles
Contact Detail:
Stotles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - AI & Core data
✨Tip Number 1
Familiarise yourself with the latest trends in AI and data science, especially those relevant to public sector applications. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role and the company.
✨Tip Number 2
Network with current or former employees of Stotles on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during your application process.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented data-driven solutions. Highlighting your hands-on experience with complex data analytics will showcase your ability to contribute effectively to the Data & Platform Team at Stotles.
✨Tip Number 4
Stay updated on the public sector landscape and the challenges it faces. Understanding these issues will allow you to articulate how your skills can directly address the needs of Stotles' clients, making you a more attractive candidate.
We think you need these skills to ace Data Scientist - AI & Core data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics and AI. Focus on specific projects where you've improved data systems or contributed to AI-driven tools, as this aligns with what Stotles is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and AI. Mention how your analytical mindset and problem-solving skills can contribute to Stotles' mission of transforming complex datasets into actionable insights.
Showcase Relevant Skills: Clearly list your technical skills, especially in SQL and Python, as well as any experience with data visualisation tools. Highlight your ability to analyse and interpret data to inform business decisions, which is crucial for the role.
Demonstrate Cultural Fit: Stotles values collaboration and a willingness to learn. In your application, share examples of how you've worked effectively in teams and your openness to feedback, showcasing that you align with their company culture.
How to prepare for a job interview at Stotles
✨Showcase Your Analytical Skills
As a Data Scientist, you'll need to demonstrate your analytical thinking. Prepare examples of how you've used data to inform business decisions in previous roles. Be ready to discuss specific projects where your insights led to tangible outcomes.
✨Familiarise Yourself with AI Tools
Since the role involves harnessing AI for data enhancement, brush up on relevant AI tools and methodologies. Be prepared to discuss how you've applied AI in past projects or how you envision using it at Stotles to improve data quality and user experience.
✨Prepare for Technical Questions
Expect technical questions related to SQL and Python, as these are crucial for the role. Practice writing queries and manipulating data, and be ready to explain your thought process when solving data-related problems.
✨Emphasise Collaboration and Feedback
Stotles values teamwork and collaboration. Share experiences where you've worked closely with cross-functional teams. Highlight your openness to feedback and how it has helped you grow and improve your work processes.
