AI Data Scientist Job Description

Context of the Mission / Objective(s) of the Job:

We are looking for a talented AI Data Scientist with a business mindset and strong expertise in Generative AI. The successful candidate will work in a dynamic environment, applying analytical skills to solve business problems.

Key Responsibilities:

• Collaborate with business and technical teams to identify high-impact use cases for Generative AI.
• Design, develop, and implement AI-driven solutions for business needs using both internal and external data sources.
• Identify and communicate insights from data analysis to support decision-making and problem-solving activities.
• Work with cross-functional teams to identify and resolve data-related issues.
• Continuously monitor AI models for accuracy and proactively identify and resolve data discrepancies and drift.
• Contribute to the development of a Generative AI capability framework and internal best practices.

Mission Period:

• Expected Start Date: As soon as possible
• Duration: 24 months (Extension possible depending on project evolution)

Language Requirements:

• English, Dutch and French

Level of Education Required:

Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Business) or a related field with a strong focus on data analysis.

Required Knowledge and Experience:

Personal Skills:

• Ability to work independently and as part of a team.
• Manage multiple priorities and meet tight deadlines.
• Availability for occasional travel and projects in other operating companies.

Business Experience Required:

• Data science experience, preferably in a business setting.
• Strong business acumen and the ability to understand and communicate business needs and requirements.
• Senior level experience (5 to 8 years).

Technical Experience Required:

• Proven experience with data wrangling, statistical analysis, predictive modeling, and machine learning.
• Proficient in Python and commonly used libraries (Pandas, NumPy, Scikit-learn, etc.).
• Strong knowledge of cloud platforms, especially Azure (Azure AI services, Azure ML, Vertex AI, Databricks, Azure OpenAI, etc.).
• Deep expertise with Python libraries such as Langchain, LangGraph, Promptflow, Semantic Kernel, and Autogen.
• Deep understanding of LLMs fine-tuning and/or training lifecycle (LLMops).
• Proven experience in deploying and monitoring Generative AI models using CI/CD pipelines, Weight & Biases, and GitHub workflows.

Functional Experience Required:

• Strong knowledge of data analysis techniques and tools, such as Python, SQL, PBI, and DataBricks.