Data Scientist

Eviden, part of the Atos Group, with an annual revenue of circa € 5 billion is a global leader in data-driven, trusted and sustainable digital transformation. As a next generation digital business with worldwide leading positions in digital, cloud, data, advanced computing and security, it brings deep expertise for all industries in more than 47 countries. By uniting unique high-end technologies across the full digital continuum with 47,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come.

Are you passionate about building the future with Artificial Intelligence? Do you want to be at the forefront of innovation?

At [Company Name], we are expanding our capabilities and establishing a center of excellence for Data & AI. We are looking for a motivated Data Scientist to join our dedicated team of specialists. In this role, you will not just analyze data; you will be a key player in developing and scaling our AI solutions, directly impacting our products and strategic decisions. This is a unique opportunity to grow with us and shape the future of AI within our organization.

Key Responsibilities:

• Develop AI/ML Solutions: Design, build, and deploy end-to-end machine learning models to solve complex business challenges (e.g., classification, regression, clustering, forecasting).
• Data Exploration & Analysis: Proactively identify opportunities in large datasets, perform exploratory data analysis, and generate actionable insights to guide business strategy.
• Collaboration & Innovation: Work closely with a team of data engineers, AI specialists, and business stakeholders to define project requirements and deliver robust, data-driven solutions.
• Communicate Insights: Translate complex findings into clear, concise language and compelling visualizations for both technical and non-technical audiences.
• Model Lifecycle Management: Take ownership of the entire model lifecycle, from prototyping and validation to deployment, monitoring, and continuous improvement.

Technical Requirements:

• Experience: A solid track record with 3-4 years of commercial experience in a Data Scientist or similar role.
• Programming Skills: Strong proficiency in Python and its core Data Science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow/PyTorch).
• Database Proficiency: Fluency in SQL with hands-on experience querying relational (e.g., PostgreSQL) and non-relational (e.g., MongoDB) databases.
• Machine Learning: A strong theoretical understanding and practical application of machine learning algorithms and best practices.
• Data Visualization: The ability to create impactful data visualizations using tools like Matplotlib, Power BI or Tableau.
• Essential Tools: Experience with version control systems (Git) and development environments like Jupyter Notebooks/JupyterLab.
• Cloud Experience (Bonus): Familiarity with a major cloud platform (AWS, GCP, Azure) is a significant advantage.

Language Skills:

• English Proficiency: A high level of proficiency in English (B2/C1 or equivalent) is mandatory. You must be comfortable communicating fluently, reading technical documentation, and collaborating effectively within an international team.

Let’s grow together.