Python Developer / Data Scientist

HCLTech; Denmark; On-site; DKK 600,000 - 800,000; Full time

Job summary

HCLTech is seeking a Python developer with a data science background to own the NDT project long term. You will co-build across the codebase with the current team to understand it and then take over ownership once the current team leaves.

From that point, you will keep the project running and continuously adapt it to changing business requirements. You will collect new data and retrain models when needed, and critically challenge training data to ensure deployment readiness, while collaborating

Qualifications

• Must have solid, production-minded Python.
• Experience with MLflow for experiment tracking.
• Collaborative coding using Git and team workflows.
• Self-reliant with the ability to unblock minor technical issues.

Responsibilities

• Co-build across the entire codebase with the current team and prepare to take full ownership once they leave.
• Own the project long term, maintain it, and continuously adapt it to changing business requirements.
• Collect new data and retrain the model when needed.
• Critically challenge the training data and determine whether a model is ready to deploy.

Skills

Python production-minded

Experiment tracking with MLflow

Collaborative programming and Git

Self-reliance

Tools

REST / FastAPI

Job description

A Python developer with a data science background to become the long-term owner of the NDT project. The developer will co-build across the entire codebase with the current team to understand it and then take over ownership once the current team leaves. From that point, the developer will keep the project running and continuously adapt it to changing business requirements.

Expected Tools & Knowledge

Must have

• Python: solid and production-minded
• Experiment tracking with MLflow
• Collaborative programming and Git
• Self-reliance, with the ability to unblock minor technical issues independently

Nice to have

• Classical machine learning
• REST / FastAPI

Responsibilities

• Co-build across the entire codebase with the current team and prepare to take full ownership once they leave.
• Own the project long term, maintain it, and continuously adapt it to changing business requirements.
• Collect new data and re-trigger model training when needed.
• Critically challenge the training data and determine whether a model is good enough to deploy.

Python & Software Engineering

• Solid, production-minded Python.
• Comfortable taking over and maintaining an existing codebase.
• Uses Git and works effectively in a collaborative development setup.

Data Science & Model Judgment

• Questions whether the training data is sound and whether a model is genuinely ready to deploy, rather than trusting metrics at face value.
• Evaluates model performance and knows when to collect data and retrain.

Business Stakeholder Interaction

• Works directly with business stakeholders to understand and clarify changing requirements.
• Translates business requests into concrete changes to the project.
• Communicates results and model limitations clearly to non-technical audiences.