Lead Data Scientist

Location: London, Hammersmith/ Hybrid
Salary: £70,000 – £100,000 DOE (Plus share options)

Planna is redefining how homeowners find, understand, maintain, and improve their properties using AI. Our platform powers smarter insights for leading banks and insurance companies, combining data science, computer vision, and large language models to create a new standard in property intelligence.

We’re looking for a Lead Data Scientist to drive our data science vision — designing, building, and scaling models that turn complex property data into actionable intelligence. You’ll lead the development of patent-pending AI technology that blends computer vision, multimodal learning, and LLM fine-tuning to interpret imagery, documents, and unstructured data at scale.

You’ll shape our AI roadmap from the ground up, influence product direction, and see your models make an immediate impact.

Key Responsibilities

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• Lead Planna’s data science activities — from research and model development to production deployment.
  
• Design and implement vision, predictive, and generative AI models that directly power our core products.
  
• Apply advanced statistical analysis, experimentation, and causal reasoning to extract insight and measure impact.
  
• Contribute to and guide LLM fine-tuning and multimodal architectures for property intelligence (preferred experience).
  
• Work cross-functionally with engineering, product, and design to align technical outcomes with commercial priorities.
  
• Mentor and set standards for scientific excellence across the data function.
  

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• You have relevant and impactful experience of developing and deploying machine learning models. Experience of large language models and generative AI frameworks would be welcomed.
  
• Can help support organisational capabilities around machine learning and generative AI.
  
• You know how to understand and tackle loosely defined problems with machine learning solutions.
  
• You can communicate findings to technical and non-technical audiences effectively.
  
• You are curious and have a creative mind, coupled with first rate critical thinking skills.
  
• You have experience working within cross functional teams and collaborating across teams.
  
• You have the ability to challenge and question ideas, openly and honestly, whilst providing solutions and options.
  
• You keeps abreast of the latest advancements in data science, machine learning and generative AI.
  
• Deep grounding in statistics, data science, and applied ML.
  
• Strong experience with computer vision and generative/LLM systems.
  
• Proficiency in Python, NoSQL (MongoDB), and frameworks such as PyTorch or TensorFlow.
  
• Based in London or willing to travel to Hammersmith at least 2/3 days per week.
  

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• Experience with automated valuation models.
  
• Background in Proptech, Fintech, insurance, or financial services data ecosystems.
  
• Bachelor’s, Master’s or PhD in a quantitative field. For example, Statistics, Computer Science, Data Science, Mathematics, or a related STEM subject degree.
  

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• Competitive compensation package
  
• Staff share options pool.
  
• 29 days annual leave
  
• Flexible, hybrid working arrangements.
  
• New Macbook
  

Ultimately, we care much more about the person you are, and how you think and approach things, than a list of qualifications and buzzwords on a CV. Even if you can’t say ‘yes’ to all the above, but are smart, self-motivated and passionate about data and AI, then get in touch.

📩 Apply to with your CV and cover letter.