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Data Scientist
1 month ago
Network Rail is a leading organization in the railway industry, with a rich history of innovation and technology. We are committed to enhancing the safety, reliability, and efficiency of our railway system.
Vacancy Details- Permanent, 35 hours per week, Hybrid working of 2/3 days in the office.
- Generous annual leave (28 days plus statutory days), with the option to buy/sell days.
- Defined benefit pension scheme.
- 75% subsidy on rail and underground season tickets.
- Up to 75% off leisure travel.
- Interest-free travel loan for train and car park season tickets.
- Discounts at stations with your Network Rail pass.
- Flexible/hybrid working arrangements.
- Healthcare Scheme, GymPass discounts, Cycle to work plus more.
- Generous maternity, paternity, and adoption leave.
We are seeking a highly skilled Data Scientist to join our team at Network Rail. As a Data Scientist, you will play a key role in developing data and machine learning algorithms using data science tools. You will carry out advanced statistical analysis in big data, capture and translate requirements for effective data extraction and analysis, and facilitate complex decision making in Network Rail.
You will analyze and translate complex business needs to data and machine learning tasks for delivery. You will develop Python code using open source frameworks to access and interrogate structured and unstructured data for analytical purposes. You will train, test, and maintain machine learning models on Cloud environments to accelerate the solution development and deployment to users.
You will carry out statistical and commercial analysis to answer complex business decisions. You will produce reports and use visualization techniques to share the results of data solutions and deepen understanding across various stakeholders.
You will design and develop data and analytical solutions in collaboration with users, programme managers, and architects to enable and support business change. You will create and maintain project artefacts and documentation to enable the efficient deployment of the data and machine-learning solutions to production.
You will proactively look for new insights in new and existing data sources for better understanding of the business processes and how they can be improved. You will keep up with training and development in the field of statistics and machine learning to identify innovation opportunities for Network Rail.
Key Skills and Qualifications:
- Strong skills and practical experience in Machine Learning on the Cloud (Azure, GCP or Amazon) using Numpy, Scikit Learn, Tensorflow, Keras, PyTorch or other data mining frameworks.
- Excellent programming skills using Python, R, and other programming languages.
- Degree or/and postgraduate qualification in a relevant discipline (e.g., Mathematics, Statistics, Computer Science) or equivalent experience.
- Good knowledge of SQL, data modelling, and ETL transformation in relational databases.
- Commercial exposure in Computer Vision, NLP, or Predictive Maintenance methods and data including training, testing using deep learning algorithms.
Preferred Qualifications:
- Commercial experience in data engineering or in developing machine learning and deep learning algorithms in the Cloud Environment with preference in Azure Cloud.
- Master in machine learning, computer science, statistics, mathematical science, operational research, or similar discipline.
- Experience in web programming and software engineering.
