Data Scientist

    Job Purpose:

    The Data Scientist’s role will be to support and develop the Company’s Digital Engineering and Manufacturing initiatives, embedding data science and AI technologies into this activity to drive improvements in productivity and the concept of data driven design.

    The incumbent will support the Domain Expert in the development, maintenance, and continued operation of the Company’s AI capabilities, liaising with clients, prospective clients, and suppliers.

    The role will contribute to:

    • The development of research propositions to meet the needs of our clients

    • The delivery of commercial and R&D projects to time, cost and quality

    • Supporting the development & improvement of the data science internal platforms, enabling the collection, processing, analysis and visualisation of large-scale multi-source data sets

    • The design and development of methodologies and software to clean and analyse big data, collected from heterogeneous and multiple sources, and build models to derive industrial insight

    • Present results in a clear, readily understandable and innovative way in order to provide help for decision making

    The Data Scientist would be exposed to a wide variety of exciting and leading-edge technologies and systems across a range of industrial sectors and must be comfortable researching new methods and working without direct supervision.

    Key Responsibilities:

    The Data Scientist will have an opportunity to work on a wide variety of internal systems, including High Performance Computing, virtualisation, and private cloud. This will involve:

    • Supporting the development of MLOps capability

    • Maintaining awareness of new and emerging Data Science technologies

    • Developing and implementing Data Science solutions for CFMS use

    • Providing support/advice to the wider technical team

    • Supporting visits to CFMS by clients, prospective clients, and suppliers

    Experience:

    • Master’s Degree in Data Science, Computer Science or related field

    • Minimum 1-year experience in developing machine learning and/or deep learning models for industrial application

    Skills, Knowledge and Competencies:

    Machine Learning

    • Application of various Machine Learning techniques (Classification, Regression) in a production application using scikit-learn, numpy, pandas, Jupyter notebooks etc.

    Deep Learning

    • Application of various Deep Learning techniques (NN, CNN, RNN, LSTM etc.) on text, time series, audio and imagery data using TensorFlow, PyTorch, Keras etc.

    Software Programming

    • Basic working experience/knowledge in Unix/Linux environment

    • Basic knowledge of containerised applications, for example Docker

    • Basic knowledge of GPU-based highly parallel software development

    • Proficient in programming languages like Python

    • Writing and testing production code: use of source control (GitHub) and continuous testing

    Visualisation

    • Experience in using data visualization libraries like Plotly, Seaborn, GGPlot etc.

    Mathematics

    • Ability to implement mathematical concepts from published scientific documents

    Domain Knowledge

    • Knowledge of high value engineering & manufacturing business processes

    • Knowledge of robotic systems / automation

    Others

    • Keen interest in IT and technology

    • Good communication skills

    • Strong focus on customer requirements, delivery and commercial awareness

    • Attention to detail and quality

    • Teamwork

    To Apply:

    Email your CV and covering letter to: careers@cfms.org.uk

    If you would like further information on the role, please contact us via the email above or call 0117 906 1100.