Data Scientist (Mechanical Engineer)
Expro
data science
algorithm development
model development
documentation
quality management
safety compliance
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.
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
5. To develop models and work with other engineering disciplines to prove the validity of these models.
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.
1. To ensure a rigorous approach to investigation.
2. To provide mathematical and algorithmic support to software and firmware development teams when developing Expros solutions.
6. Ensure that projects are adequately documented and that archived information, (e.g. data, algorithms and derivations,) is both comprehensive and accessible.
8. Assist in the development and implementation of written procedures to manage analytical activities.
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.
7. To ensure that the requirements of the quality management system are complied with in all respects.
10. Accountable for safety and adherence to Expro HSE procedures at all times.
physics degree
c#
python
ansys
comsol
data science
5. Desirable, a background in fluid analytics or acoustic analysis
3. The ability to derive algorithmic solutions and apply advanced Data science techniques to real world physics and data ideal
3. Able to work effectively to develop algorithmic solutions to large datasets collected from IoT type electronic sensing systems
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
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
4. A background in supporting other multidisciplinary engineering development teams with modelling and data 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.
BenefitsWe know it's our people that make Expro great, and we offer a fulfilling career across all disciplines of our international organization.
Training + DevelopmentFounded in 1938
Year Established
The company was established in 1938, marking the beginning of its legacy in well lifecycle services.
$1.4B revenue
Annual Revenue
The company generated approximately $1.4 billion in revenue in 2022, reflecting its financial strength and market presence.
100+ sites
Global Deployment
The company has successfully rolled out its SeaCure® cementing technology to over 100 sites worldwide, showcasing its global reach and technological innovation.
- Evolved through key mergers, including the pivotal 2021 combination with Frank’s International.
- Operates globally from Houston and Aberdeen, blending data-driven digital transformation with cutting-edge capabilities in well construction, flow management, subsea access, and intervention.
- Supports blue-chip clients in both onshore and offshore environments, demonstrating financial resilience through market cycles.
- Undertakes complex offshore installations, tubular running services in clean-energy pilots like Japan’s hydrogen/ammonia initiative, and bespoke solutions in geothermal and solar testing.
- Expertise stands out in subsea well access, integrity services, tubular technology, and flow analytics — sectors where performance and safety are critical.
- People
- Performance
- Partnerships
- Planet
50% Reduction
Greenhouse Gas Intensity
Achieved a 50% reduction in greenhouse gas emissions intensity by 2030.
25.2% Reduction
Operational Emissions
Reduced operational Scope 1 and Scope 2 emissions by 25.2% (2021 baseline) by 2024.
4,000 t CO₂e
Environmental Impact
Zero flaring well-test campaign reduced emissions by ~4,000 t CO₂e annually.
MSCI A Rating
ESG Performance
Brokerage rating upgraded to A from BB; CDP rating of B in 2023.
- Developed low-carbon services including CCUS, natural hydrogen, and geothermal solutions across multiple regions.
- Increased R&D allocation: >40% in 2021, ≈50% in 2022, target of 50-70% in 2023.
- Middle East gas compressor project reduced ~10,000 t CO₂e per day.
- Waste recycling/recovery increased by >30% while landfill/incineration waste reduced by 17% (2024).
- Lost-Time Incident Frequency (LTIF) maintained at 0.00 (2024)
2022 partnership
Inclusive Learning Modules
The company partnered to integrate diversity and inclusion learning modules into employee training platforms.
2023 surveys
Employee Engagement Tools
Launched 'Culture of Care' and annual 'Elevate' pulse surveys to guide action plans and improvements.
- Fostered a collaborative and inclusive culture with shared frameworks and survey-driven improvements.
- Established a Board-level ESG Committee to oversee human-capital-related risks including diversity and inclusion.
