Product Data Scientist | AI Gamification Startup

Gizmo is an AI startup on a mission to make learning so easy that anyone can learn anything. We're building Duolingo for Anything - a platform that uses gamification and social mechanics to make learning fun. With over 1 million monthly active users and $4M in annual recurring revenue, we're already one of the fastest-growing startups in the UK. Backed by leading investors, we recently raised $16M in Series A funding to accelerate our vision of helping 1 billion people learn.

The Role

We're hiring our first Data Scientist to help us turn raw data into smart decisions, powerful product features, and personalised learning experiences. You'll work closely with the founders and engineers to unlock insights, build production-ready models, and help shape the future of how people learn.

This role sits at the intersection of product, data and engineering. If you're excited by high ownership, greenfield challenges, and making data a core part of a product people already love - this is the role for you.

Key Responsibilities

• Analyse data to inform product decisions
• Work with product and engineering to design data experiments and analyse user behaviour
• Develop scalable data pipelines and automate insights generation
• Create predictive models, segmentation logic, or recommendation engines as needed
• Communicate findings clearly to technical and non-technical stakeholders
• Drive the development of internal analytics tools and dashboards
• Contribute to the evolution of our data stack and best practices
  
  

Requirements

• A quantitative degree from a top university (Cambridge, Oxford, Imperial, etc...)
• Previous experience in a Data Science role, ideally within a product or tech company
• Proficiency in Python and SQL for data manipulation and modelling
• Solid understanding of statistical modelling, A/B testing, and experimentation
• Experience working with data in production environments
• Strong collaboration and communication skills, especially cross-functionally
• Have founded your own company or have experience working at an early-stage startup
  
  

Nice-to-Haves

• Experience with LLMs or generative AI models
  
  

Benefits

• Highly competitive salary
• Substantial equity included - you'll own a piece of what you're building
• Hybrid working model with 4 days per week in our London Liverpool Street office
• The opportunity to be one of the earliest employees in one of the UK's fastest-growing startups

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