- Company Name
- ENGAGEMENT JEUNES
- Job Title
- Data Scientist - AXA Life and Health international F/H
- Job Description
-
**Job Title**
Data Scientist – AXA Life and Health International (Internship)
**Role Summary**
Join a multidisciplinary team to design, develop, and industrialize data‑science, machine‑learning, and GenAI solutions for the health insurance sector. Work on end‑to‑end project cycles, from business case definition to model deployment and monitoring, in an international, innovative environment.
**Expectations**
- 6‑month full‑time internship (end‑of‑studies) starting Feb 2026
- Master's (M2) level in Data Science, Computer Science, Applied Mathematics, AI/ML, or related field
- Fluent English (written and spoken)
- Ability to work autonomously and collaborate across business, data, and IT teams
**Key Responsibilities**
- Collaborate with business units to formalize use cases, define objectives, metrics, and acceptance criteria
- Collect, clean, normalize, and quality‑check multi‑format data; build reproducible data pipelines
- Prototype, train, and evaluate ML/NLP/OCR models; establish baselines and benchmarks; optimize performance (precision, recall, F1, AUC, etc.)
- Document models (model cards, limitations, usage recommendations) and support MLOps integration of proofs‑of‑concept into production workflows
- Explore GenAI applications (LLMs, Retrieval‑Augmented Generation) and communicate findings to technical and non‑technical audiences
- Create simple dashboards (e.g., Streamlit, Dash) to present results
**Required Skills**
*Technical*
- Proficient in Python, pandas, NumPy, scikit‑learn
- Basic experience with NLP and OCR (text preprocessing, tokenization, embeddings)
- Knowledge of model evaluation methods (cross‑validation, ROC/AUC, PR curves)
- Data engineering fundamentals: feature engineering, data quality, pipeline construction
- Good development practices: Git, repository organization, documentation, basic testing, reproducibility
- Ability to build interactive dashboards (Streamlit/Dash)
*Soft*
- Clear communication and ability to simplify complex concepts
- Strong analytical mindset, attention to detail, and rigor
- Curious, self‑motivated, and collaborative
**Required Education & Certifications**
- Currently enrolled in a Master’s program (M2) with a focus on Data Science, AI/ML, Computer Science, Applied Mathematics, or a related discipline
- No specific certifications required; academic credentials sufficient.