Data Scientist

About Us

We are Capgemini Engineering, a leader in engineering services and R&D, with more than 65,000 people dedicated to Engineering and Science around the world. We help our clients accelerate their journey to smart industry, bringing global expertise and capabilities, cutting-edge digital technologies and software, agile engineering platforms and an industrialised execution model.

Within Capgemini Engineering, Hybrid Intelligence is the international team of data and AI experts. Our work is a fusion of applied mathematics, scientific computing, artificial intelligence and software engineering.

We deliver revolutionary, multidisciplinary solutions for our research and development-driven clients, addressing humanity's generational challenges, from discovering new medicinal treatments to harnessing green energy.

We are dedicated to creating a diverse environment and are proud to offer equal opportunities. We appreciate people for who they are and value the diversity they bring to the team.

Job Description

About the role

At Hybrid Intelligence we are looking for a Senior Data Scientist to join the team in Spain. You will work in a team of experts with whom you will be able to share your knowledge and continue to learn and develop professionally, while participating in the growth and expansion of the team.

Main challenges

As a member of the Hybrid Intelligence team at Capgemini Engineering, you will work on a variety of innovative projects that make a difference.

Our work is a fusion of applied mathematics, scientific computing, artificial intelligence and software engineering.

Job Description - Grade Specific

What are we looking for?

• PhD, graduates in mathematics, physics, engineering, computer science or related field.
• Previous experience of at least 5 years as Data Scientist.
• Excellent programming skills (essential) R, Python (pandas, numpy, matplotlib, scikit-learn), experience in object-oriented programming and pySpark.
• Experience running projects involving Machine Learning algorithms, ideally in a cloud environment with distributed computing.
• Strong background in statistics and probability theory for hypothesis testing, regression analysis and experimental design.
• Data handling skills, including cleaning, pre-processing and transforming raw data into usable formats for analysis and modelling.
• Experience developing mathematical models and predictive algorithms (optimisation, supervised and unsupervised models, clustering, neural networks...), Deep Learning, MLOPs will be an asset. 
• Knowledge in natural language processing (NLP) and Large Language Models (LLMs) is desirable.
• Fluency in English and Spanish (C1) and strong communication skills.
  
  

Diversity is key to our strategy.

Our commitment to inclusion and equal opportunities means that we have an Equality Plan and a Code of Ethics that guarantee the professional development of our staff and equal opportunities in their selection within an environment free of discrimination based on ethnicity, nationality, social origin, age, sexual orientation, gender expression, religion or any other personal, physical, or social circumstance.

At Capgemini Engineering we value all applications, don't hesitate to apply!