01
TRCI-26-05165
Python Data Scientist / ML Engineer (Model Ownership & Maintenance)
Contract role in Aarhus for a production-minded Python data scientist/ML engineer to co-build with the current team, then take full ownership of an existing ML codebase. The consultant will maintain and evolve the project as business needs change, continuously evaluate model performance, challenge training data quality, and decide when to collect new data and retrain. Strong Git-based collaboration and the ability to explain model results and limitations to non-technical stakeholders are essential.
Position summary
- Location
- Denmark
- Workplace
- On-site
- Employment
- Contract
- Experience
- Minimum 5 years and Maximum 7 years
Role overview
Why This Role Matters.
Contract role in Aarhus for a production-minded Python data scientist/ML engineer to co-build with the current team, then take full ownership of an existing ML codebase. The consultant will maintain and evolve the project as business needs change, continuously evaluate model performance, challenge training data quality, and decide when to collect new data and retrain. Strong Git-based collaboration and the ability to explain model results and limitations to non-technical stakeholders are essential.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
02
Own the project long term, maintain it, and continuously adapt it to changing business requirements.
03
Continuously evaluate model performance.
04
Collect new data and re-trigger model training when needed.
05
Critically challenge the training data and determine whether a model is good enough to deploy.
06
Solid, production-minded Python.
07
Comfortable taking over and maintaining an existing codebase.
08
Uses Git and works effectively in a collaborative development setup.
09
Strong grounding in data science.
10
Questions whether the training data is sound and whether a model is genuinely ready to deploy, rather than trusting metrics at face value.
11
Evaluates model performance and knows when to collect data and retrain.
12
Works directly with business stakeholders to understand and clarify changing requirements.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Python
Required
02
Git
Required
03
data science
Required
04
machine learning
Required
05
model evaluation
Required
06
model monitoring
Required
07
retraining
Required
08
training data quality
Required
09
production codebase
Required
10
stakeholder communication
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
Production-minded Python
Software engineering fundamentals for maintaining an existing codebase
Git (collaborative workflows)
Data science fundamentals (modeling, evaluation)
Model performance monitoring/evaluation
Training data quality assessment and critical judgment
Knowing when to collect new data and retrain models
Ability to decide model readiness for deployment (beyond trusting metrics)
Business stakeholder communication (translate requirements, explain limitations)
Preferred
Nice to Have
There are no additional preferred qualifications for this position. If you meet the essential requirements, we encourage you to apply.
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for Python Data Scientist / ML Engineer (Model Ownership & Maintenance)
One page, about two minutes. We only ask for what we actually need to have a first conversation.