Data Scientist

Immersum
Slough
9 months ago
Applications closed

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Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Job Title:Data Scientist

Salary:£65,000-£75,000 + Benefits

Location:West London - Hybrid (3 days p/w in-office)

Tech:AWS, Snowflake, Airflow, DBT


The Company:

Immersum are supporting the growth leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. By combining cutting-edge data science with powerful location intelligence, they help major organisations make smarter, faster decisions. Backed by top-tier investors and growing fast, this is your chance to shape the future of PropTech from the inside.


The Role Requirements:

As a Data Scientist, you’ll develop, deploy, and optimise data science solutions that sit at the heart of the company’s product offerings. You’ll play a critical role in shaping how data-driven insights fuel smarter decisions across the business.


What you’ll be doing:

  • Spotting opportunities to apply data science and ML to solve meaningful product challenges
  • Designing and building data pipelines to support experimentation and model development
  • Running structured experiments and analysing performance metrics to validate outcomes
  • Deploying and maintaining models in production and delivering clear business impact
  • Collaborating closely with product, engineering, and business stakeholders


What you’ll bring:

  • Hands-on experience developing and productionising ML models
  • Strong analytical background with applied stats, EDA, and model validation techniques
  • Confidence working with structured data pipelines and modern tooling (AWS, Snowflake, Airflow, DBT)
  • Curiosity for emerging techniques and an eagerness to learn and innovate
  • Excellent communication skills, especially when simplifying complex findings for non-technical teams


Why Join:

  • Join a mission-led company building truly differentiated data products
  • Work on greenfield projects and shape how data science is done across the business
  • Collaborate with a team that genuinely values experimentation, insight, and product thinking
  • Fast-growing, well-funded environment with real autonomy and influence

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