Senior Data Scientist

At GEOLYTIX we seek new and innovative ways to make spatial analytics accessible, exciting and indispensable, driving high-impact location decisions for leading global brands. Our customers span the retail, financial, property, leisure and food & beverage industries across the world.

We build innovative solutions to support our clients in making transformative business choices by combining forecasting methods, statistical models, GIS, and web tools to create bespoke solutions. We are constantly pushing boundaries to do things better. We have fun and value every member of our team.

Are you our next Senior Data Scientist?

About You

You’re already a data scientist or modeller – your idea of a good day is receiving huge amounts of data and working out how customers are going to behave.

• You enjoy problem solving, and will be building modelling solutions, including gravity modelling, regression and machine learning.
• You have an in-depth understanding, and can weigh the pros and cons of various modelling methodologies, including interpretability and practical application for our clients, who span across a wide range of sectors.
• You can own and be accountable for analytical and modelling decisions, seeing QA as a key cornerstone of any output.
• You want to be original – you don’t want to do the same old thing, consistently seeking out new innovations.
• You know your way around a GIS.
• You enjoy the world of retail, and have a good grasp of geography.
• You know enough about programming so that you’re quick and efficient, picking up new tools rapidly.
• If you don’t have experience with really big data, you’ll be keen to learn how we process it at Geolytix.
• You care about your code, knowing your way around Git and how to productionise models you build.
• You’re a ‘people person’ who builds strong relationships with customers, leading day-to-day project delivery and strategic discussions independently.
• As a senior member of the Data Science team, you will drive technical excellence, mentor junior colleagues, and shape our core modeling practices.

Your qualifications and experience

ESSENTIAL

• Pro at using SQL for data manipulation (PostgreSQL, MSSQL, Google BigQuery, SparkSQL, etc.)
• Strong coding skills in Python, R, Scala, C, Java, or JS
• Proven track record of using data manipulation and machine learning libraries
• Practical modelling & statistical analysis experience, ideally customer-related
• Strong communication skills with proven ability to collaborate with remote global teams
• Evidence of high attention to detail, proactivity, and managing project deadlines
• Quantitative degree or equivalent apprenticeship / work experience in a subject such as Mathematics, Statistics, Computer Science, or Geography

DESIRABLE

• Exposure to Big Data Analytics (BigQuery, Apache Spark), Parallel Computing (Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Graph Computing, or Microservices
• Relevant industry sector knowledge across retail, property, or finance

Other stuff

Our offices are in Leeds and Kings Cross, London. The role can be located in either.

Competitive salary.

We’re a young and growing company who embrace flexible working; full time or part time, family friendly hours and/or working from home days considered.

Applicants must have the right to work in the UK. We are unable to provide visa sponsorship for this position.

Closing date: Monday 2nd November 2026

#J-18808-Ljbffr

Full job description from WhatJobs. Apply for this role →