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Discover moreStructural Integrity Data Scientist (Bristol)
- Department: Asset Integrity
- Location: Bristol
- Salary: £35,000 - £50,000
Description
Closing date for this role is 31st August but we would encourage early applications.
Salary £35,000 to £50,000 per annum
As a Structural Integrity Data Scientist, you will be a pioneer in applying simulation and data science expertise to help solve the varied mechanical integrity and materials science challenges that are faced by mechanical engineers in the 21st century.
Our Group sits within the Asset Integrity area, which supports our clients understand and optimise the performance and integrity of components, systems and facilities using a range of tools and approaches. We operate in many sectors including energy (conventional and nuclear energy generation, renewables and oil & gas), transport (rail, maritime, aerospace and automotive, industry (process and manufacture) and defence (all domains).
We have a wide range of capability utilising modelling, probabilistic simulation, and computer aided engineering (such as FEA) to predict the behaviour of engineering systems within a range of high-value industries. Our colleagues have a wide range of backgrounds including mechanical engineering, fundamental materials science, data science and software development. We are growing our ‘digital’ capabilities in data science and machine learning to provide greater understanding of mechanical integrity and materials science problems. You will play in key role in actively shaping the future of our Group in these exciting new areas.
Our project portfolio includes:
- Applying deep learning techniques to predict complex material degradation mechanisms.
- Using Bayesian inference to diagnose and gain understanding of complex asset integrity problems
- Developing digital twins of physical assets using a combination of engineering expertise, data science approaches and software development methodologies.
You have an enquiring mind, as evidenced by your STEM degree. You are someone who enjoys working with people, can actively listen and have empathy for our clients’ problems and a desire to find solutions and exploit new technologies. You will be required to undertake and supervise technical projects for a range of clients, translating technical details into implementable recommendations. You will provide technical and project leadership and assure delivery to cost, timescales and quality requirements. You have experience of applying your technical knowledge in industry, helping to solve real-world problems.
You will be required to:
- Adapt your technical skillset to address each new challenge
- Evolve your skills and thinking to meet the changing needs of the market
- Build and sustain your professional network, both within Frazer-Nash and externally, to create and develop business opportunities
- Flex your time between technical project delivery and finding the next challenge
- Use your tenacity and imagination to make connections, take decisions and draw conclusions
Requirements
The successful applicant will meet the following minimum requirements:
- A degree in a STEM (science, technology, engineering or mathematics) subject
- Experience in a related industry (e.g. defence, energy, aerospace, process, maritime)
- Mid level experience applying modelling and analytical (data science) techniques.
- Understanding of fundamentals related to structural analysis of mechanical components
- Understanding of finite element analysis (including experience with one or more major FEA code)
It is to your advantage if you meet any or all the following additional requirements:
- A PhD in a STEM subject
- Application of data science to extract insights into the behaviour of physical components & systems.
- Knowledge of machine learning techniques and frameworks (e.g. TensorFlow, Keras, PyTorch, SciKit Learn).
- Experience in applying probabilistic simulation and statistical techniques in evaluating real-world problems.
- Experience in data visualisation to provide insight to key decision-makers
- Awareness of good software development practices. This includes experience with developing high-quality software in Python, Matlab, Javascript or Fortran.
- Use of version control & CI/CD in delivering software.
Due to the nature of the work that Frazer-Nash Consultancy undertake, candidates will be required to undergo pre-employment screening and must be able to satisfy clearance criteria for UK National Security Vetting.