This role could be based at our Warrington or Manchester office, depending on preference
We are a systems and engineering technology consultancy that helps organisations deliver innovative engineering to make lives safe, secure, sustainable and affordable. Our people join us to make an impact on the world and to learn from some of the best minds in the industry. Our people stay with us because they value our supportive team environment and the career opportunities provided by our sustained growth.
We help our clients throughout the Energy, Transport and Defence sectors make smart decisions on how they manage and optimise the value of their assets in challenging times. Through various analytical, mathematical and physical-modelling techniques, we help to discover more about their systems so that they can forecast the impact of their investments.
We are looking for a computational/mathematical modeller to join our multidisciplinary team to work with clients predominantly within the energy networks sector. Typical work may involve, for example, smart use of data to extract key condition measures of a component or system, then building probabilistic forecasting models based on scientific understanding and/or data inference to help understand current and future risk of failure.
In addition to developing the insight, it is essential to communicate project outcomes to the client. This is often achieved through the use of tailored, web-based applications.
We work with the full range of numerical methods and technologies. Each client comes to us with a unique challenge and an opportunity to develop a bespoke approach. The work is therefore interesting and satisfying, in that we have the scope and flexibility to solve our clients’ challenging problems in the best way.
Working at Frazer-Nash, there is immediate opportunity to manage and deliver your own projects. You will also have the opportunity to be involved in wider business activities, such as developing bids and proposals, attending industry networking events and prospective client meetings, and helping to develop the company capability and skillset.
The successful applicant will ideally have the following (or equivalent, if applicable):
- Minimum 2:1 master’s level degree or a PhD in a relevant, STEM subject
- More than two years’ experience working in the energy sector, preferably within energy networks
- Experience of modelling and predictive analysis of low carbon future energy scenarios
- Knowledge of the future roles of distribution system operators
- Knowledge of multi-vector energy systems and low carbon technologies
- Ability to write clear and concise technical reports
- Ability to produce clear, influential literature (e.g. presentations, articles, bids)
The successful applicant must meet the following minimum requirements:
- Have an outstanding and demonstrable ability to turn real-world systems into tractable mathematical models
- Have experience in applying statistical methods to real world problems
- Have in depth knowledge of scientific programming languages (Python, Matlab etc.)
- Have the knowledge required to assess the impact of potential policy, regulation, technological and customer-change on energy networks and markets
- Be a great communicator
- Be happy working in a collaborative environment
- Know how to elicit a client’s project-specific requirements in the context of their wider goals
- Be reliable and dependable, and perform consistently