Senior Engineer (Data Scientist)

Overall Purpose of the Job

To provide data science support Group Engineering development and operational activities focusing on the analysis of physics with Expro's solutions and defining mathematical and algorithmic solutions effective manner.

Principal Accountabilities

1. To 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. To provide mathematical and algorithmic support to software and firmware development teams when developing Expros solutions.

3. Able to work effectively to develop algorithmic solutions to large datasets collected from IoT type electronic sensing systems

4. To be able to generate intellectual property and help author patents that will help improve the performance Expros systems and strengthen the companys commercial position.

5. To 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. To 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

10. Accountable for safety and adherence to Expro HSE procedures at all times.

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 Expros services based on their mathematical models and modelling analysis

Job Knowledge and Experience:

1. To ensure a rigorous approach to investigation.

2. 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

3. The ability to derive algorithmic solutions and apply advanced Data science techniques to real world physics and data ideal

4. A background in supporting other multidisciplinary engineering development teams with modelling and data analysis

5. Desirable, a background in fluid analytics or acoustic analysis

6. A background in developing visual representations of complex dynamic multivariate data sets for real time analysis with data being derived from IoT based systems.