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For Companies At a Glance
- Tasks: Join us as a Data Scientist, solving real-world problems with data and innovative models.
- Company: Geolytix is a dynamic company making spatial analytics exciting for various industries worldwide.
- Benefits: Enjoy flexible working, health membership, bonus schemes, and opportunities for shareholding.
- Why this job: Be part of a fun team that values innovation and creativity in data science.
- Qualifications: Experience in SQL, coding, and statistical analysis; a degree in a numbers-based field is preferred.
- Other info: Work from our vibrant London or Leeds offices, with options for remote work.
The predicted salary is between 28800 - 42000 £ per year.
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.
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 us. No agencies please.
We are hiring: Data Scientist, London Geolytix 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 We are hiring: Data Scientist, London Geolytix
✨Tip Number 1
Familiarise yourself with the latest trends in spatial analytics and big data. 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 current or former employees of Geolytix on platforms like LinkedIn. They can provide insights into the company culture and expectations, which can be invaluable when preparing for interviews.
✨Tip Number 3
Brush up on your SQL skills, especially with PostgreSQL or Google BigQuery, as these are crucial for data manipulation in this role. Consider working on personal projects that involve large datasets to demonstrate your capabilities.
✨Tip Number 4
Prepare examples of past projects where you've successfully used machine learning models or statistical analysis. Be ready to discuss your problem-solving approach and how you collaborated with others, as this role requires strong interpersonal skills.
We think you need these skills to ace We are hiring: Data Scientist, London Geolytix
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a data scientist or modeller. Focus on relevant skills such as SQL, programming languages, and any experience with big data analytics. Use specific examples to demonstrate your problem-solving abilities.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your passion for spatial analytics and how you can contribute to Geolytix's innovative solutions. Be sure to include your understanding of the retail sector and your approach to working with large datasets.
Showcase Your Projects: If you have worked on relevant projects, consider including a portfolio or links to your work. Highlight any machine learning models or data manipulation tasks you've completed, especially those that demonstrate your ability to innovate and solve complex problems.
Proofread and Edit: Before submitting your application, carefully proofread your CV and cover letter. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail, which is crucial for a data scientist.
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 aligns with what Geolytix values.
✨Demonstrate Your Technical Proficiency
Be ready to talk about your experience with SQL and any programming languages you're familiar with. If you have worked with big data tools or GIS, mention these experiences to show your versatility and eagerness to learn.
✨Emphasise Your Communication Skills
Since the role involves leading projects and building relationships with clients, practice articulating your ideas clearly. Prepare to discuss how you've successfully collaborated with teams or clients in the past.
✨Express Your Passion for Innovation
Geolytix is looking for someone who wants to push boundaries. Share your thoughts on recent trends in data science and how you stay updated. Discuss any personal projects or research that demonstrate your commitment to innovation.
