AddressThis role sits within the Data Science team in Route Services, a business area that uses data from different sources, including over 30,000 IoT devices, to monitor the rails, detect potential maintenance issues, manage vegetation, and perform predictive maintenance.
Have a read about how we have launched the Intelligent Infrastructure (II) programme to turn data into intelligent information that can effectively deliver improved services for passenger and freight customers.
https://iot.eetimes.com/uk-network-rail-uses-iot-ai-and-deep-learning-to-improve-the-worlds-oldest-railway-system/
- Lead the implementation of statistical and machine learning methods on Cloud environments, using Python, R and other data science tools as required to maximise the business outcomes.
- Engage with customers across Network Rail to capture the analytical requirements and translate them into applicable machine learning solutions suitable to solve real business problems.
- Own the delivery of the data science work including the acquisition, link and analysis of structured and unstructured data from the organisation’s data sources (i.e. sensory and signalling data) to create rich and comprehensive data analysis for the business
- Collaborate with product and programme development teams such as data engineers, data architects and programme managers to maximise the quality of data science projects.
- Guide and facilitate the product development workshops, advising programme managers and business stakeholders on the best use of data and analytics in products so they are able to better understand solutions and prioritise the delivery accordingly.
- Lead on the approach and methodology and organise training and development for Data Scientists to establish a smooth and reliable delivery process as well as a skilled talent pool
The Ideal Candidate
- Degree in relevant discipline (mathematics, statistics or computer science or similar) or equivalent relevant experience.
- Significant commercial exposure in Computer Vision, NLP or Predictive Maintenance methods and data including training, testing and simulation using deep learning algorithms.
- Demonstrable commercial experience in data engineering and in developing machine learning and deep learning algorithms within the Azure Cloud Platform
- Leadership experience preferably, in data science, with strong motivation in coaching and growing teams
- Significant experience in data science programming using different programming languages and include Python and R
- Proven experience in pattern recognition, statistical and predictive modelling using Numpy, Scikt-Learn, TensorFlow, Keras, PyTorch and other data mining frameworks on the Cloud
- In-depth knowledge of SQL programming with strong skills in data modelling and data transformation relational databases such as Oracle, SQL Server and MySQL
