Coders Connect is partnering with a global technology innovation hub that develops advanced IoT data and AI solutions driving smarter connected systems across industries. Their R&D hub in the Copenhagen area focuses on transforming large-scale real-time data into actionable intelligence through analytics automation and cloud innovation.
They are seeking a Data Scientist with a strong interest in Data Engineering to join their expanding Data Services & Insights team. This role combines data science engineering and experimentation; ideal for someone who enjoys bridging the gap between model development and production deployment.
The Role
Youll work on data-driven solutions that use machine learning analytics and robust data pipelines to deliver insights at scale.
Collaborating with Data Engineers Product Managers and Delivery Managers youll help design and operationalize systems that power global digital products.
Key responsibilities include:
- Designing training and deploying ML models to drive predictive insights
- Building scalable and reliable data pipelines in collaboration with Data Engineers
- Implementing feature engineering workflows in Azure Databricks
- Working within a Delta Lake / medallion architecture
- Exploring and preparing large IoT and operational datasets
- Supporting data visualization and reporting through Power BI
- Experimenting with conversational AI and chatbot technologies
- Contributing to continuous improvement in data and analytics practices
Requirements
About You
You are a Data Scientist who enjoys combining analytical problem-solving with hands-on data engineering. You thrive in environments where experimentation leads to real production-ready impact.
Qualifications:
- Proven experience as a Data Scientist with exposure to Data Engineering or MLOps
- Proficiency in Python (Pandas PySpark ML frameworks such as scikit-learn TensorFlow or PyTorch)
- Experience with Azure technologies (Databricks Data Lake Functions AI Foundry etc.)
- Understanding of data pipeline design and medallion/lakehouse architectures
- Interest or experience in GenAI LLMs or chatbot development
- Strong communication skills for translating insights to non-technical audiences
- Knowledge of Power BI or similar visualization tools
- Fluent in English and Danish is a MUST
Benefits
Why Join
- Join a global innovation hub working at the forefront of IoT data and AI
- Collaborate within small cross-functional teams that own their solutions end-to-end
- Contribute to impactful production-grade data and ML systems
- Work in an environment that values autonomy experimentation and learning
Required Skills:
Proven experience as a Data Scientist with exposure to Data Engineering or MLOps Proficiency in Python (Pandas PySpark ML frameworks such as scikit-learn TensorFlow or PyTorch) Experience with Azure technologies (Databricks Data Lake Functions AI Foundry etc.) Understanding of data pipeline design and medallion/lakehouse architectures Interest or experience in GenAI LLMs or chatbot development Strong communication skills for translating insights to non-technical audiences Knowledge of Power BI or similar visualization tools Fluent in English and Danish is a MUST