Data Scientist (R&D Area)

About Eviden 

Eviden is a next-gen technology leader in data-driven, trusted and sustainable digital transformation with a strong portfolio of patented technologies. With worldwide leading positions in advanced computing, security, AI, cloud and digital platforms, it provides deep expertise for all industries in more than 47 countries. Bringing together 41,000 world-class talents, Eviden expands the possibilities of data and technology across the digital continuum, now and for generations to come. Eviden is an Atos Group company with an annual revenue of c. € 5 billion.

Eviden business is operated through the following brands: AppCentrica, ATHEA, Cloudamize, Cloudreach, Cryptovision, DataSentics, Edifixio, Engage ESM, Evidian, Forensik, IDEAL GRP, In Fidem, Ipsotek, Maven Wave, Profit4SF, SEC Consult, Visual BI, X-Perion. Eviden is a registered trademark. © Eviden SAS, 2025.

We are looking for a pro-active, and experienced Data Scientist. We offer a position in a dynamic and international environment in our Research and Innovation department to develop your carrier. 

Basic required skills:

- Skilled in Artificial Intelligence, Machine Learning, Deep Learning, and Data Science techniques.

- Deep understanding of statistics and analysis.

- Ability to code in multiple languages, including Python.

- Experience with data transformation (structured data format/schema transformation) using common programming tools (e.g., Python, JSON, etc.).

- Experience with ML frameworks, including Keras, Pandas, TensorFlow, or Pytorch.

- Experience with Git and collaboration tools, including Jenkins, JIRA, Confluence, Nexus, or Bitbucket.

- Fluent spoken and written English.

- Self-starter, proactive and autonomous character.

- Ability to take part in technical discussions / negotiation among multiple actors.

Other valuable skills:

- Familiarity with Kubernetes, containerization, and DevSecOps practices.

- Knowledge of Reinforcement Learning, including Markov Decision Processes (MDPs) modelling and Q-learning, Deep Q-Learning (DQN).

- Experience building and maintaining data pipelines and working with large-scale datasets

- Knowledge or interest in High Performance Computing (HPC) environments

Education:

• Bachelor’s in Computer Science or Engineering or Telecommunications Engineering or Electrical Engineering, or a related discipline.
• Must be resident or allowed to work in Spain, without any change in the visa status.

Competencies:

• Fluency in English. English level B2. French a plus
• Familiar with Agile methodology for SW development, preferably in an international environment.
• Strong personal soft skills sets: Communicative, enthusiastic, highly collaborative, proactive, self-driven.
• Ability and enthusiasm to learn new technologies quickly.

Benefits and Location:

• Half-day Fridays.

• Intensive summer work schedule.

• Home-working 60%

• Madrid, Seville; Barcelona, Valladolid

#Eviden

Let’s grow together.