Data Scientist – Advanced Analytics & AI

About the role

You will join a high‑tech consultancy to drive advanced analytics, machine‑learning and AI projects for clients across multiple industries. The role involves turning raw data into actionable insights, building predictive models and supporting digital transformation initiatives while working closely with multidisciplinary teams.

Key responsibilities

• Design, develop and deploy predictive and prescriptive models using Python and machine‑learning frameworks.
• Collaborate with business and technical stakeholders to translate requirements into data‑driven solutions.
• Perform data mining, statistical analysis and data visualization to support decision‑making.
• Implement and maintain data pipelines on cloud platforms such as Azure, AWS or Google Cloud.
• Contribute to MLOps practices, version control and CI/CD workflows.

Required profile

• Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering or a related field.
• At least 3 years of professional experience in data science, machine learning or advanced analytics.
• Strong analytical, problem‑solving and communication skills.
• Fluency in English (French is a plus).

Required skills

• Python and SQL.
• Machine‑learning frameworks (e.g., scikit‑learn, TensorFlow, PyTorch).
• Data‑visualisation tools: Power BI, Tableau, Matplotlib.
• Cloud platforms: Microsoft Azure, Amazon Web Services, Google Cloud Platform.
• Git, version control and CI/CD pipelines.
• Databricks, Apache Spark (advantage).
• Dataiku (strong asset).
• Exposure to Generative AI, Large Language Models and MLOps (plus).

What we offer

• Permanent contract providing stability and security.
• Individual profit‑sharing based on the value you generate.
• Personalized coaching and a dedicated training plan to develop entrepreneurial skills.
• Access to a network of technical competence cells and an Entrepreneurial Lab for innovation.