Data Scientist

Expro; Aberdeen City; On-site; GBP 45,000 - 70,000; Full time

Job summary

A leading energy technology firm in Aberdeen is seeking a Data Scientist to apply advanced data science techniques and fluid dynamics to solve complex engineering challenges. The role involves validating models, analyzing large datasets, and collaborating with engineering teams to generate innovative solutions. Ideal candidates have a degree in Physics, Engineering, or Mathematics and experience in developing algorithms from IoT sensor data. This position fosters a collaborative environment focused on continuous improvement and scientific rigor.

Qualifications

• Rigorous approach with a degree in Physics, Engineering, or Mathematics.
• Experience in supporting multidisciplinary engineering teams.
• Proven experience in developing algorithms from IoT data.

Responsibilities

• Develop & implement data science solutions in fluid dynamics.
• Collaborate with engineering teams to refine models.
• Generate intellectual property and contribute to patents.

Skills

Fluid dynamics

Advanced data science techniques

Data analysis

Algorithm development

Collaboration

IoT systems

Education

Degree in Physics, Engineering or Mathematics

Tools

C#

Python

Ansys

Comsol

Job description

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

As our new Data Scientist you will play a pivotal role within Group Engineering, applying advanced data science techniques and deep knowledge of fluid dynamics, multiphase flow, and physical systems to solve complex engineering challenges.

Working closely with multidisciplinary teams, the role involves developing and validating physics-based models, analysing large sensor datasets, and delivering actionable insights that drive innovation in product performance and operational efficiency.

The position requires a strong commitment to scientific rigor, collaboration, and continuous improvement, ensuring all analytical work meets the highest standards of quality, safety, and reproducibility.

Key Activities And Accountabilities

• Develop & implement data science solutions grounded in fluid dynamics, multiphase flow, & applied physics to support engineering product lines enabling accurate performance prediction & service delivery
• Apply physics-based modelling & advanced analytics to large, complex datasets from IoT & sensor systems, extracting actionable insights into fluid behaviour & system performance
• Collaborate with multidisciplinary engineering teams to validate & refine models, ensuring solutions are physically accurate and practically applicable
• Provide technical expertise to software & firmware development teams, ensuring integration of robust, physics-informed algorithms into Expro’s solutions
• Generate intellectual property by developing novel approaches & contributing to patents that enhance Expro’s competitive advantage in fluid & multiphase flow analysis
• Ensure that projects are adequately documented & archived information (e.g., data, algorithms & derivations) is both comprehensive & accessible
• Document & archive all analytical work ensuring transparency, reproducibility & compliance with quality management systems
• Support the development & implementation of procedures for analytical & modelling activities, maintaining high standards of quality & safety

Job Knowledge And Qualifications

• A rigorous approach to investigations with (as a minimum) a degree in Physics, Engineering or Mathematics
• Background in supporting multidisciplinary engineering development teams with modelling & data analysis
• Proven experience developing algorithms to model real-world behaviour of large data sets derived from IoT sensor systems
• Ability to derive algorithmic solutions & apply advanced data science techniques to real-world physics & data
• Experience in developing visual representations of complex, dynamic, multivariate data sets for real-time analysis, with data derived from IoT based systems
• Familiarity with computational fluid dynamics (CFD) tools & methods for simulating & analysing fluid behaviour in engineering applications
• Experience with C#, Python & Multiphysics modelling tools (e.g., Ansys & Comsol)
• Background in physical fluid dynamics modelling, multiphase flow analysis, or environmental sensor data analysis

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.

The only way to apply for a job at Expro is on our website. For more information around safe recruitment and how we recruit please visit our website at https://www.expro.com/careers/how-we-recruit/safe-recruitment

To apply for this opportunity please click on the 'Apply' button.

Find us at the following