National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

We are hiring: Data Scientist, London Geolytix

The Society for Location Analysis
London
2 weeks ago
Create job alert

Are you an experienced data scientist or modeller, who enjoys problem solving and your idea of a good day is receiving huge amounts of data? This position could be for you….

At GEOLYTIX we seek new and innovative ways to make spatial analytics accessible, exciting and indispensable. Our customers span the retail, financial, property, leisure and food & beverage industries, across the world.

We build innovative solutions to support our clients to make better decisions combining various forecasting methods and statistical models, GIS and web tools to create bespoke solutions. We are always looking to do things better. We have fun and value every member of our team.
Are you our next Data Scientist?

About You

● You’re already an experienced 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 gravity or machine learning models, for a variety of clients across wide ranging sectors.
● You want to be original – you don’t want to do the same old, same old. You’re consistently looking for innovation.
● Ideally you know your way around a GIS (not essential)
● 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, anything you don’t know you can quickly grasp.
● 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. You know your way around git and how to productionise models you have built.
● You’re a ‘people person’ and build relationships with customers as you will lead projects on your own.

Your qualifications and experience

● You are a pro at using SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL)* Modelling & Statistical Analysis experience, ideally customer related
● Coding skills in at least one of Python, R, Scala, C, Java or JS
● Track record of using data manipulation and machine learning libraries in one or more programming languages.
● Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery / BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures
● A university degree – numbers based, Computer Science or Geography
● Relevant industry sector knowledge ideal but not essential
● A strong communicator with the ability to work with colleagues remotely across the globe
● Be able to provide evidence of attention to detail, proactivity and managing deadlines

Other stuff

Our offices are in Leeds and Clerkenwell, 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.

Benefits

● Flexible working
● City Centre office location
● Vitality Health membership
● Great maternity and paternity schemes
● Cycle to work scheme
● Tusker Car Purchase scheme
● Bonus scheme
● Opportunity for all employees to become a shareholder on our long term incentive plan

Interested? If you are interested in this role and are looking for your next challenge, please send your CV and cover letter to .
No agencies please.


#J-18808-Ljbffr

Related Jobs

View all jobs

We are hiring: Data Scientist, London

Lead Data Scientist

Senior Data Scientist

Data Scientist

Senior Data Scientist – Cardiff, London, or Remote (UK) | Visa Sponsorship Available | Monzo

Senior Data Scientist – Cardiff, London, or Remote (UK) | Visa Sponsorship Available | Monzo...

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.