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For Companies At a Glance
- Tasks: As a Data Scientist, you'll analyse vast data sets and build innovative models for diverse clients.
- Company: Join GEOLYTIX, a dynamic company revolutionising spatial analytics across various industries worldwide.
- Benefits: Enjoy flexible working, health memberships, bonus schemes, and opportunities to become a shareholder.
- Why this job: Be part of a fun, innovative team that values creativity and problem-solving in a collaborative environment.
- Qualifications: Proficiency in SQL, coding skills in Python or R, and a degree in a numbers-based field are essential.
- Other info: Work from our Leeds or London office with options for full-time, part-time, or remote work.
The predicted salary is between 28800 - 48000 £ per year.
We are hiring: Data Scientist. 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.
Contact Detail:
The Society for Location Analysis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, London
✨Tip Number 1
Familiarise yourself with the latest trends in data science and spatial analytics. This will not only help you understand the industry better but also allow you to engage in meaningful conversations during interviews, showcasing your passion for innovation.
✨Tip Number 2
Network with professionals in the field of data science, especially those who work with GIS and big data. Attend relevant meetups or webinars to build connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Brush up on your SQL skills and ensure you're comfortable with at least one programming language mentioned in the job description. Consider working on personal projects or contributing to open-source projects to demonstrate your coding abilities.
✨Tip Number 4
Prepare to discuss your experience with machine learning models and data manipulation during the interview. Be ready to provide examples of how you've used these skills in past projects, as this will highlight your problem-solving capabilities.
We think you need these skills to ace Data Scientist, London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data science, modelling, and any relevant programming languages. Emphasise your skills in SQL and machine learning libraries, as well as any projects that showcase your problem-solving abilities.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific experiences that demonstrate your innovative approach to data science and your ability to work with large datasets. Show how your background aligns with their mission of making spatial analytics accessible.
Showcase Relevant Projects: If you have worked on projects involving GIS, big data analytics, or machine learning, include these in your application. Provide brief descriptions of the projects, your role, and the outcomes to illustrate your hands-on experience.
Highlight Soft Skills: Since the role requires building relationships with customers and leading projects, make sure to highlight your communication skills and ability to work collaboratively. Provide examples of how you've successfully managed projects or worked with teams in the past.
How to prepare for a job interview at The Society for Location Analysis
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples of how you've tackled complex data problems in the past. Highlight your thought process and the innovative solutions you implemented, as this role values originality and creativity.
✨Demonstrate Your Technical Proficiency
Be ready to talk about your experience with SQL and any programming languages you're familiar with, such as Python or R. You might be asked to solve a technical problem on the spot, so brush up on your coding skills and be prepared to explain your approach.
✨Understand the Company’s Focus
Research GEOLYTIX and their work in spatial analytics. Familiarise yourself with their clients and industries they serve. This will help you tailor your answers to show how your skills align with their mission and how you can contribute to their innovative solutions.
✨Emphasise Your Communication Skills
As a 'people person', it's crucial to demonstrate your ability to build relationships and communicate effectively. Prepare examples of how you've collaborated with teams or clients in the past, especially in remote settings, to showcase your interpersonal skills.
