Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Scientist - AI & Core data

Stotles
London
1 month ago
Create job alert

Join to apply for the Data Scientist - AI & Core data role at Stotles

3 days ago Be among the first 25 applicants

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
  • Mentality
    • 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".
  • 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 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?).
  • 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!

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

LNKD1_UKTJSeniority level

  • Seniority levelEntry level

Employment type

  • Employment typeFull-time

Job function

  • Job functionScience
  • IndustriesIT System Data Services

Referrals increase your chances of interviewing at Stotles by 2x

Sign in to set job alerts for “Data Scientist” roles.

London, England, United Kingdom 2 days ago

Staines-Upon-Thames, England, United Kingdom 2 weeks ago

AI Research Scientist (Sequential Decision Making)

London, England, United Kingdom 5 days ago

London, England, United Kingdom 2 weeks ago

Greater London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 month ago

Greater London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

Data Scientist (Machine Learning Observability & Governance)

London, England, United Kingdom 3 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 4 days ago

London, England, United Kingdom 3 months ago

Data Scientist, Internship, United Kingdom - BCG X

London, England, United Kingdom 3 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.