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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 remote work and family-friendly hours.
The predicted salary is between 36000 - 60000 £ 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.
Data Scientist, London employer: The Society for Location Analysis
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 role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion for innovation.
✨Tip Number 2
Network with current employees or professionals in the field through platforms like LinkedIn. Engaging with them can provide insights into the company culture at GEOLYTIX and may even lead to a referral, which can significantly boost your chances of landing the job.
✨Tip Number 3
Brush up on your SQL and programming skills, especially in Python or R. Being able to demonstrate your proficiency in these areas during technical discussions or assessments can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your previous projects involving data manipulation and machine learning. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will highlight your problem-solving abilities and experience.
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 manipulation, modelling, and statistical analysis. Emphasise your proficiency in SQL and any programming languages relevant to the role, such as Python or R.
Craft a Compelling Cover Letter: In your cover letter, express your passion for problem-solving and innovation in data science. Mention specific projects or experiences that demonstrate your ability to handle large datasets and your familiarity with GIS, if applicable.
Showcase Relevant Skills: Clearly outline your skills in big data analytics, cloud engineering, and machine learning libraries. Provide examples of how you've used these skills in previous roles or projects to solve real-world problems.
Highlight Communication Abilities: Since the role involves leading projects and building relationships with clients, emphasise your communication skills. Share instances where you successfully collaborated with teams or communicated complex data insights to non-technical stakeholders.
How to prepare for a job interview at The Society for Location Analysis
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data problems. Highlight your thought process and the innovative solutions you implemented, as this role values originality and creativity.
✨Demonstrate Technical Proficiency
Be ready to talk about your experience with SQL and any programming languages you know, 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 familiar with data manipulation libraries.
✨Understand the Company’s Focus
Research GEOLYTIX and their approach to spatial analytics. Familiarise yourself with their clients and industries they serve, as this will help you tailor your answers and show genuine interest in the company’s mission.
✨Emphasise Communication Skills
As a 'people person', it's crucial to demonstrate your ability to build relationships. Prepare to discuss how you've effectively communicated complex data insights to non-technical stakeholders in previous roles.
