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Senior data scientist

Bruxelles
Kronos Group
Data Scientist
65 000 € par an
Publiée le 24 juillet
Description de l'offre

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Ex-Accenture MD, Intelligent Operations support | Digital Transformation | Value Architect | Board Member to be | special affinity @ Financial…

For an Insurance company, we are looking for a talented AI data scientist with a business mindset coupled with a strong expertise in (Gen)AI. The successful candidate will work in a dynamic environment that presents opportunities to apply analytical skills to solve business problems.

About the Role

The successful candidate will work in a dynamic environment that presents opportunities to apply analytical skills to solve business problems.

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 problem solving 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.

Qualifications

* 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 Skills

* Ability to work independently and as part of a team
* Availability for occasional travel and projects in other operating companies
* 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 Gen AI models using CI/CD pipelines, Weight & Biases, and GitHub workflows.

Preferred Skills

* Strong business acumen and the ability to understand and communicate business needs and requirements.
* Data science, preferably in a business setting.

Duration: 24 months (Depending on project evolution, extension is possible)


Seniority level

* Seniority level

Associate


Employment type

* Employment type

Full-time


Job function

* Job function

Design
* Industries

Insurance

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