We know it's our people that make Expro great, and we offer a fulfilling career across all disciplines of our international organization.
We're at the heart of the energy transition, developing and delivering future-facing technologies in support of a more sustainable future for us all. From ground-breaking use of our technologies and expertise, through to tremendous community partnerships, we take our responsibilities as a Citizen of the World seriously.
Our rich history is built on decades of experience, teamwork and outstanding performance… and our future is built on people like you!
Overall Purpose of the Job
Provide data science support to Group Engineering development and operational activities based in Aberdeen, focusing on the analysis of physics with Expro's solutions and defining mathematical and algorithmic solutions in an effective manner. For this role you will ideally be from a Mechanical or Chemical background & have a strong understanding of Maths, Physics, Fluid Dynamics & Fluid Flow measurement.
Key Activities and Accountabilities
1. Use proven data science techniques to develop algorithmic solutions to support a number of Expros product lines with the aim of providing reliable data and results for service delivery and performance prediction for client jobs
2. Provide mathematical and algorithmic support to software and firmware development teams when developing Expros solutions
3. Work effectively to develop algorithmic solutions to large datasets collected from IoT type electronic sensing systems
4. Generate intellectual property and help author patents that will help improve the performance Expros systems and strengthen the companys commercial position
5. Develop models and work with other engineering disciplines to prove the validity of these models
6. Ensure that projects are adequately documented and that archived information, (e.g. data, algorithms and derivations,) is both comprehensive and accessible
7. Ensure that the requirements of the quality management system are complied with in all respects
8. Assist in the development and implementation of written procedures to manage analytical activities
9. Desirable experience using C#, Python, Multiphysics modelling (e.g. Ansys, Comsol), analysis of environmental sensor data, physical fluid dynamics modelling or chemical analysis background
Job Knowledge and Qualifications
Job Context and Main Activities:
The job holder reports directly to the Engineering Manager and is responsible for carrying out Data Science activities within Group Engineering. To Interact with other specialist disciplines within Group engineering and Product lines to ensure the successful delivery of Expro services based on their mathematical models and modelling analysis
Job Knowledge and Experience:
10. Degree in Physics, Engineering or Mathematics with experience of developing algorithms to model real world behaviour of large data sets derived from IoT type sensor systems
11. Strong understanding of Mathematics, Physics, Fluid Dynamics & Fluid flow Measurement
12. Experience using C#, Python, Multiphysics modelling (e.g. Ansys, Comsol)
13. The ability to derive algorithmic solutions and apply advanced Data science techniques to real world physics and data ideal
14. Validation of tools through modelling and virtual modelling
15. A background in supporting other multidisciplinary engineering development teams with modelling and data analysis
16. Desirable, a background in fluid analytics or acoustic analysis
17. Background in developing visual representations of complex dynamic multivariate data sets for real time analysis with data being derived from IoT based systems
18. The ability & willingness to travel to our offices in Norway, USA and occasionally India to collaborate with engineering team & liaise with Subject Matter Experts within Expro Product Lines
At Expro, we live by our values, People, Performance, Planet and Partnerships. People are always at the heart of our success.
Expro is an Equal Opportunity Employer. Employment decisions relating to qualified candidates are made fairly and consistently. Diversity and inclusiveness is important to our current and future success by providing varied experiences, ideas and insights to inform decisions, identify new approaches and solve business challenges.
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