DATA SCIENTIST
£500
LONDON
6 WEEKS
A leading name in the transport sector are looking for a Data Scientist to innovate the way the company work with their data
The Company
As a Data Scientist you will have the opportunity to work within a growing team reporting directly to the companies Head of Data. The company uses Data to improve customer safety and satisfaction by utilising a large scope of Data Science techniques and methods. The company has been working on several exciting projects over the last few years and have really maximised the value of their data. This company prides themselves on providing an open-minded working environment, giving you the chance to grow your own skills while aiding the overall business achieve their aims.
The Role
In this role you will be working within the Data Science team. Making vital business decisions and solving business problems using a number of methods, including pricing and customer retention models. You will also utilise your Machine Learning capabilities working with IoT sensors and anomaly detection models to improve customer safety and experience. You will also be suggesting new Data Science methods that could help push forward the company's business goals.
Specifically, your day to day responsibilities will be as follows:
- Building Machine Learning models to help achieve specific business aims
- Identify new techniques that can be deployed across several teams and projects within the business
- Report your findings directly to the Head of Data and other key business heads
- Contribute to the mentoring of junior Data Scientists and the training process
Skills and experience required:
- Strong knowledge of Machine Learning techniques including Anomaly Detection, Pricing, and Customer Retention Models
- Experience working with AWS, Python and Tableau
- Excellent communication skills and the ability to present to technical and non-technical business heads
- Commercial experience working in the Transport sector with knowledge of IoT sensors
How to apply:
Please register your interest by sending you CV to Brittany Graham via the Apply link on this page.