CAREERS

Join Expleo’s data science team



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As a data scientist at Expleo, you enjoy harnessing the power of data, machine learning, and advanced analytics to generate insights and develop innovative solutions for a wide array of industries, including automotive, aerospace, railway, banking, and more. You work alongside experts in AI, data engineering, data analytics and software development, to tackle complex problems, optimise decision-making, and drive business growth. 

You’ll be part of a team transforming data into actionable strategies, whether you’re improving operational efficiency, developing predictive models, or enhancing cybersecurity systems.  

Does that sound like we’re talking about you?

Well, you’re in the right place.
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Expleo’s data science team develops:

Two people work at desks with large monitors displaying stock charts and data. The workspace is cluttered with books, stationery, and a smartphone, creating a focused office environment.

DL model for computer vision for End-Of-Line (EOL) inspection 

Close-up view of a large, metallic aircraft engine turbine with multiple blades, reflecting the cloudy sky.

Digital twin of in-service aircraft engines for maintenance cost prediction 

Four people sit together at a table, collaborating and looking at a laptop. Digital graphic overlays of data and network icons illustrate a technology and teamwork theme in a modern office.

DL based virtual sensors for commercial aircraft 

A man sits at a desk using a keyboard and mouse, looking at two large computer monitors displaying technical graphs, charts, and a 3D vehicle simulation in a modern, high-tech office.

Omnichannel customer sentiment and vehicle quality analytics platform (LLM) 

A person in a suit sits in a car, interacting with a large touchscreen display on the center console, adjusting vehicle settings or navigation options.

Predictive maintenance for electric vehicle’s onboard charger 


At Expleo, every day brings new challenges and opportunities to solve complex problems. The diversity of projects, from refining algorithms to optimising data quality, pushes you to continuously learn and adapt – it’s a career where innovation never stops.

Cristian Costache, Data Scientist


What I love about Expleo is the balance between cutting-edge technology and real-world problem-solving. One day you’re working with neural networks, the next you’re applying AI to transform legacy systems. It’s the diversity and challenge that makes this role exciting.

Andy Morrison, Head of Quality Engineering


At Expleo, it’s not just about coding – it’s about thinking critically and applying scientific methodology to real-world data. We’re not just building models; we’re crafting solutions that actually work in production, and that’s where the real satisfaction lies.

Marc Swynghedauw, Senior Data Scientist

A day in the life of an expleo data scientist

Morning
Scanning and understanding the latest scientific publications and big tech updates, staying ahead of emerging AI models and industry trends.
Mid-morning
Working closely with stakeholders to understand project requirements and explain complex data models in simple terms. Reviewing and refining data models or algorithms for optimal performance.
Noon
Participating in meetings with the software engineering team to ensure seamless integration of data solutions into client systems.
After lunch
Conducting exploratory data analysis, preparing data for machine learning models, and tuning hyperparameters to improve model accuracy.
Afternoon
Running experiments on cloud-based platforms to evaluate model performance and iterating based on client feedback. Also reading scientific publications to learn about new AI models.
End of day
Preparing reports on project progress, ensuring transparency with the client, and aligning goals for the next day.

Entry-level requirements​

HARD SKILLS

  • Mathematics & Statistics 
  • Knowledge in Python or R 
  • Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) 
  • Understanding of big data technologies (Hadoop, Spark) 
  • Knowledge of cloud platforms (AWS, Azure, GCP) 
  • Proficiency in data analysis and visualisation tools (Pandas, Power BI, Tableau) 

SOFT SKILLS

  • Analytical mindset and problem-solving abilities 
  • Excellent communication skills for explaining technical concepts 
  • Willingness to learn and adapt to new tools and technologies 
  • Teamwork and collaboration 
  • Attention to detail

What you will be learning with our team

HARD SKILLS

  • Optimising machine learning models for real-world applications
  • Advanced machine learning and data science techniques 
  • AI ethics and explainability in model development 
  • Project management and cross-team collaboration 
  • Cloud computing and big data frameworks 

SOFT SKILLS

  • Client communication and business acumen
  • Stakeholder management 
  • Critical thinking and decision-making under uncertainty 

Sound exciting? We think so too!

Join our team