data scientist

• You are 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 analysing data, problem solving and building models. You will be building models, ranging from linear regression to gravity or machine learning approaches.
• You are excited to apply your skills to global markets. You will be doing work for UK and international clients, across a wide range of industries.
• You want to be original. You don't want to do the same old, same old. You're consistently looking for innovation.
• You know the right tool for the job. You understand how approaches might vary depending on the problem, data and sample size.
• You know your way around a GIS. (This is ideal, but not essential).
• You enjoy the world of retail and have a good grasp of geography.
• You can programme. You're efficient, anything you don't know you can quickly grasp.
• You care about your code. You know your way around Git and how to productionise models you have built.
• You're a 'people person'. You can build relationships with customers and are comfortable leading and presenting projects both independently and as part of a wider project team., * SQL Pro: You are an expert at using SQL for data manipulation (proficient in at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL).
• Coding Skills: Proficiency in at least one of Python, R, Scala, C, Java or JS.
• Library Experience: A track record of using data manipulation and machine learning libraries in one or more programming languages.
• Technical Interests: Keen interest in some of the following areas: AI, 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.
• Modelling & Statistics: Modelling experience, ideally customer related or applied.
• Education: University degree in numbers, Computer Science or Geography.
• Industry Knowledge: Relevant industry sector knowledge ideal, but not essential.
• Communication: A strong communicator with the ability to work with colleagues remotely across the globe.
• Self-Management: Evidence of attention to detail, proactivity and managing deadlines.

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.

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 bespoke solutions to support our clients to make better decisions, combining various forecasting methods, statistical models, GIS and web tools. We are always looking to do things better. We have fun and value every member of our team.