Direct message the job poster from La Fosse

Data Science, AI & Machine Learning Consultant at La Fosse

Senior Data Scientist

• Paying up to £85,000 + bonus
• Hybrid in London

I am currently working with start/scale up within the PropTech sector looking to hire a Data Scientist to work on high-impact predictive modelling projects in a fast-growing company. This role offers the opportunity to work end-to-end on ML models, helping to revolutionise the property industry by leveraging data-driven insights.

As a Data Scientist, you’ll be building and optimising predictive models to understand trends in the property market, such as likelihood of sale and customer retention. You’ll work closely with Data Engineers and Product teams to drive AI/ML innovation while ensuring models are scalable and impactful.

What You’ll Be Doing:

• Developing predictive models to forecast property trends and customer behavior.
• Leveraging MLOps best practices to ensure efficient model deployment and monitoring.
• Working end-to-end across the data pipeline – from data extraction to model evaluation.
• Collaborating with cross-functional teams to turn insights into actionable business decisions.
• 3+ years of experience in Data Science or Machine Learning.
• Strong Python & SQL skills, with experience working in cloud-based data environments.
• A problem-solver with a commercial mindset who can translate data insights into business impact.

Why Join?

• Fast-growing company with exciting AI/ML-driven initiatives.
• Clear career progression – structured frameworks for growth.
• Hybrid working – flexibility with 2-3 days per week in London HQ.
• Be part of a collaborative and innovative culture where your work directly impacts the business.

If you’re interested in this role, apply through the AD to find out more!

Senior Data Scientist

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology and Engineering

• Industries

  Data Infrastructure and Analytics, Technology, Information and Media, and Real Estate

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