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Data Scientist

Immersum

Greater London

Hybrid

GBP 50,000 - 80,000

Full time

Today

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Job summary

A leading company in the PropTech sector is seeking a Data Scientist to develop and optimize data science solutions. This hybrid role in West London offers the chance to shape data-driven insights that influence business decisions. Ideal candidates will have experience with ML models and strong analytical skills, and will thrive in a fast-paced, innovative environment.

Benefits

Fast-growing environment

Real autonomy and influence

Greenfield projects

Qualifications

Hands-on experience developing and productionising ML models.
Strong analytical background with applied stats and model validation techniques.
Confidence working with structured data pipelines.

Responsibilities

Develop, deploy, and optimise data science solutions.
Design and build data pipelines for experimentation.
Collaborate closely with product, engineering, and business stakeholders.

Skills

Analytical Skills

Communication

Curiosity

Tools

AWS

Snowflake

Airflow

DBT

This range is provided by Immersum. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Immersum

Co-Founder @ Immersum | We work with exceptional companies, connecting exceptional talent | Over 14 years experience serving the tech industry

Job Title: Data Scientist

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

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Information Technology
Industries
IT System Data Services, Data Infrastructure and Analytics, and IT System Custom Software Development

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