434 python English-speaking jobs in Capital Region of Denmark

Python/R), or working with structured datasets is an advantage.

Proficiency in Python or a willingness to develop strong Python skills quickly. ... Proficiency in Python for data processing, transformation, and pipeline development. ... Develop automated, standardized data pipelines using SQL and Python, minimizing manual reporting efforts

Python development. 3 Layer API methodology.

Advanced skills in data modeling, coding, and building solutions (e.g., Python, SQL, or similar) Comfortable

generation through model calibration and real-life validation and monitoring.Programming experience with Python

produce high‐quality work under tight deadlinesSolid analytical and numerical skillsProgramming in Python

, computer science or a related quantitative field with exposure to optimization or modellingStrong Python

, computer science or a related quantitative field with exposure to optimization or modellingStrong Python

, computer science or a related quantitative field with exposure to optimization or modellingStrong Python

, computer science or a related quantitative field with exposure to optimization or modellingStrong Python

Python, R, or similar), and business intelligence tools.

QualificationsFamiliarity with FEA‐based engineering tools, interpretation of analysis results, and programming (Python

automation test technologies, and frameworksExperience with programming/scripting languages C++, C#, Python

skills with multiple years of experience writing clean, well-structured Python on a daily basis ... Maintain and improve existing platform features based on direct customer feedback Work with our Python ... software engineering experience, shipping production software that real users depend on Strong Python

Proficiency inRust, Python or C++ .

directly impact customer outcomes.Full-Stack Development – Utilize React, TypeScript, Node.js, and Python

You have experience with programming (e.g., MATLAB, Python, or similar).

“Experience with machine learning, statistical modelling, and time‑series data Strong skills in Python ... Translating data insights into practical strategies at lab scale Building simple internal tools (e.g., Python

accessibility/expression testing, trajectory inference).Proficiency in statistical programming languages (R, Python

Strong programming skills in Python and frameworks like PyTorch, TensorFlow, or Scikit-learn as well