23 python English-speaking jobs in Saint-Denis

Strong Python programming skills (essential).

Physics, Statistics, Data Science, or related field Experience in actuarial science or management Strong Python

Minio, and dashboarding tools such as Grafana or Tableau • Knowledge of programming languages such as Python ... experience in data engineering and high availability, high performance system architectures • Proficiency in Python

Minio, and dashboarding tools such as Grafana or Tableau Knowledge of programming languages such as Python ... experience in data engineering and high‑availability, high‑performance system architectures Proficiency in Python

High diligence and quality in coding and model development, preferably with experience in Python.

computer vision, image processing, photogrammetry, 3D reconstruction, mathematical modelling, programming (Python

: Mastery of Microsoft Pack tools, data visualization tools (Tableau, Power BI), development tools (Python

collaboration with actuarial teams.Proficient in data analysis, ideally with hands-on experience using R, Python

frameworks, including OCR, IBNR, S2, and IFRS17Proficiency in data analysis tools, ideally including R, Python

professional backend engineering experience; MLOps or AI platform experience is a strong plus.Expert‑level Python

collaboration with actuarial teams Proficient in data analysis, ideally with hands-on experience using R, Python

Incident response Quality measurement Continuous improvement Proficiency in Python

Programming skills (Python, PowerShell). Experience with vulnerability management tools.

can clean, structure and analyse data, and draw meaningful conclusions from it Basic coding skills in Python

Proficiency in data analysis tools, ideally including R, Python, and Power BI, with a strong appetite

Python, JavaScript or similar), including calling APIs or stitching tools together; familiarity with

Expert-level Python; ideally FastAPI, Pydantic, SQLAlchemy (or equivalent frameworks).

VBA) and BI tools; preferably programming skills (e.g., Python).

data integration, APIs or scripting, SQL databases, equipment logs, and data analysis tools such as Python

Scripting and automation proficiency in Python or bash for toil elimination and operational tooling.