360 python English-speaking jobs in Capital Region of Denmark

Contribute to automation initiatives using Python, Ansible, APIs, model‑driven interfaces, and Git‑based ... security and automation, including firewalls, network segmentation, 802.1X, Zero Trust principles, Python

Demonstrated proficiency in the statistical analysis and visualisation of omics biomarker data using R and/or Python

Hands-on experience developing in python, Databricks, dbt and SQL.

are comfortable working with data tools such as Power BI, Excel, and ideally some exposure to SQL, Python

Experienced with MATLAB or Python for signal analysis, verification, and test automation.

environments Technical experience with at least one object-oriented programming language; .NET/C# and Python

insights clearly Curiosity in data analytics and digitalisation Interest in tools like Excel, SQL, Python

Proficiency in SQL and Python for building complex ETL/ELT pipelines and data manipulation for ML.

Contribute to automation initiatives using Python, Ansible, APIs, model‑driven interfaces, and Git‑based ... security and automation, including firewalls, network segmentation, 802.1X, Zero Trust principles, Python

Beyond That, You’ll Bring Full-stack capability across TypeScript (React, Next.js, Vite) and Python

to connect technical work to a decision a client actually has to make Strong coding foundation in Python

Qualifications Strong scripting skills in Python, Bash, and YAML Hands‑on knowledge of containerization

Strong proficiency in Python and deep experience with PyTorch (or JAX/TensorFlow).

lending Exposure to accounting 3+ years of experience in the following data modelling tools Python

Python can translate complex quantitative concepts into clear business insights for diverse stakeholders

Python can translate complex quantitative concepts into clear business insights for diverse stakeholders

biology Experience with MDM systems and data referential management Technical skills: Excel, SQL, Python

Are comfortable working with data: confident in Excel and ideally familiar with Python, R, Stata or a

.* Have strong Python skills and experience working with SQL, Infrastructure as Code and CI/CD practices

Strong programming capabilities in Python (PySpark) and SQL, with a focus on building robust and maintainable