Who you are

• 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
• You’ll 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
• A willingness to roll up your sleeves and get your hands dirty is essential—you won’t just plan solutions, you’ll build them, test them, and deliver outcomes that matter
• 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
• 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"
• 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?)
• 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

What the job involves

The application process

• Intro call | 15 - 20 minutes
• Skills Assessment | 1 hour
• Culture and Fit Interviews | 1 hour
• We're excited to meet you!

Benefits

• Equity options dependent on experience
• 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.
• A dedicated learning and development budget you can use for books, conferences, courses, events
• Monthly affectionately-termed "TeamChills™️": our in-person team-bonding socials covering anything from mini-golf, to communal taco-eating and summer picnics
• A work-from-home setup budget of £400 you can use for these items: a keyboard, monitor, mouse, office chair, desk, headphones
• A generous health cash plan (Covers dental, optical, physical therapy, consultations, etc.)