Data Scientist

Data Scientist

Full-Time 28800 - 48000 € / year (est.) No home office possible
Expro

At a Glance

  • Tasks: Use advanced data science to solve engineering challenges and drive innovation.
  • Company: Join Expro, a leader in sustainable energy solutions with a focus on teamwork.
  • Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
  • Other info: Embrace diversity and inclusiveness in a dynamic workplace with excellent career prospects.
  • Why this job: Make a real impact in the energy transition while working with cutting-edge technologies.
  • Qualifications: Degree in Physics, Engineering, or Mathematics; experience in data analysis and modelling.

The predicted salary is between 28800 - 48000 € per year.

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.

Data Scientist employer: Expro

At Expro, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Data Scientist, you will be at the forefront of the energy transition, working with cutting-edge technologies in a supportive environment that values diversity and inclusiveness. With ample opportunities for professional growth and a commitment to sustainability, Expro is an excellent employer for those seeking meaningful and impactful careers.

Expro

Contact Detail:

Expro Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist

Tip Number 1

Network like a pro! Reach out to current employees at Expro on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.

Tip Number 2

Show off your skills! Prepare a portfolio showcasing your data science projects, especially those related to fluid dynamics or IoT. This will help you stand out during interviews and demonstrate your hands-on experience.

Tip Number 3

Practice makes perfect! Brush up on common data science interview questions and technical challenges. Use platforms like StudySmarter to refine your problem-solving skills and get comfortable with the types of questions you might face.

Tip Number 4

Don’t forget to apply through our website! It’s the only way to officially throw your hat in the ring for the Data Scientist role at Expro. Make sure your application reflects your passion for innovation and sustainability!

We think you need these skills to ace Data Scientist

Data Science Techniques
Fluid Dynamics
Multiphase Flow Analysis
Physics-Based Modelling
Advanced Analytics
IoT Sensor Data Analysis
Algorithm Development

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with fluid dynamics, data analysis, and any relevant projects that showcase your skills. We want to see how you can contribute to our mission!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the energy transition and how your background aligns with our values at Expro. Let us know what excites you about this opportunity!

Showcase Your Technical Skills:Don’t forget to mention your proficiency in programming languages like Python and C#, as well as your experience with CFD tools. We’re looking for someone who can hit the ground running, so make those skills stand out!

Apply Through Our Website:Remember, the only way to apply is through our website. It’s super easy! Just click on the 'Apply' button and follow the prompts. We can’t wait to see your application and hopefully welcome you to our team!

How to prepare for a job interview at Expro

Know Your Physics

Brush up on your knowledge of fluid dynamics and multiphase flow. Be ready to discuss how these concepts apply to real-world scenarios, especially in relation to the role. Prepare examples of how you've used these principles in past projects.

Showcase Your Data Skills

Be prepared to talk about your experience with large datasets and IoT sensor systems. Highlight specific algorithms you've developed and how they contributed to performance predictions or operational efficiency. Bring along visual representations of your work if possible!

Collaboration is Key

Expro values teamwork, so be ready to discuss your experience working with multidisciplinary teams. Share examples of how you’ve collaborated on projects, validated models, and ensured that solutions are both accurate and applicable.

Document Everything

Emphasise your commitment to thorough documentation and compliance with quality management systems. Discuss how you ensure transparency and reproducibility in your analytical work, as this aligns with Expro's high standards.