Overview
We are looking for a talented AI data scientist with a business mindset coupled with a strong expertise in (Gen)AI.
* AI/GenAI delivery
* POC/PILOT/Indus process & tooling knowledge
* IT AI environment as super user
* MS Azure is a plus
* Data Science knowledge
* Project management : collaboration, communication ; stakeholder management ; helicoptere view
* Master (sciences, business engineering/economic sciences, civil engineer, maths, computer sciences)
The successful candidate will work in a dynamic environment that presents opportunities to apply analytical skills to solve business problems.
Key Responsibilities
* Work closely 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 problemsolving activities.
* Collaborate 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 GenAI capability framework and internal best practices.
Language requirement
* English: good
* Dutch: good
* French: good
Level of education required
* Master's degree in a quantitative field (e.g., tatistics, Mathematics, Computer Science, Economics, Business) or a related field with a strong focus on data analysis
Required Knowledge and Experience
* Personal Skills
o Mandatory:
+ Ability to work independently and as part of a team
+ Manage multiple priorities
+ Meet tight deadlines
+ Availability for occasional travel and projects in other operating companies
* Business experience required
o Mandatory:
+ Data science, preferably in a business setting (5 - 8 years)
+ Strong business acumen and the ability to understand and communicate business needs and requirements.
* Technical experience required
o Mandatory:
+ Proven experience with data wrangling, statistical analysis, predictive modeling, and machine learning.
+ Proficient in Python and commonly used libraries (Pandas, NumPy, Scikit-learn, etc.).
+ Cloud Expertise: Strong knowledge of cloud platforms, especially Azure (Azure AI services, Azure ML, Vertex AI, Databricks, Azure OpenAI, etc.)
+ LLM Libraries: 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).
+ Gen AI Deployment: Proven experience in deploying and monitoring Gen AI models using CI/CD pipelines, Weight & Biases, and GitHub workflows.
* Functional experience required
o Mandatory:
+ Strong knowledge of data analysis techniques and tools, such as Python, SQL, PBI, DataBricks
#J-18808-Ljbffr