Python Developer / Data Scientist

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

Job summary

HCLTech in Aarhus Denmark is seeking a Python Developer with a data science background to become the long-term owner of the NDT project, co-building with the current team and taking over ownership when they depart. You will keep the project running and adapt it to changing business requirements.

You will work across the codebase, evaluate model performance, collect new data, and ensure data quality before deployment, while communicating with business stakeholders to clarify evolving needs and

Qualifications

• Solid production-minded Python development experience.
• Strong data science background with experimentation mindset.
• Experience with MLflow for experiment tracking and model management.
• Ability to collaborate effectively in team coding and Git workflows.
• Self-reliance with the ability to unblock minor technical issues independently.

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.
• Continuously evaluate model performance and readiness for deployment.
• Collect new data and retrain models as needed to improve outcomes.
• Critically challenge training data and decide when a model is ready for production deployment.

Skills

Python

Data science

MLflow

Git collaboration

Independence

Tools

Kubernetes

REST / FastAPI

Job description

Python Developer / Data Scientist

Overview

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
• Data science
• 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
• Computer vision
• Kubernetes
• 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.
• Continuously evaluate model performance.
• 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.

Competencies

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

Strong grounding in data science.

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.