Data Scientist at Coders Connect

Gladsaxe Municipality, Capital Region of Denmark, Denmark -

Full Time

Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

0.0

Posted On

07 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Data Engineering, Machine Learning, Analytics, Data Pipelines, Azure Databricks, Delta Lake, Feature Engineering, Power BI, Conversational AI, Chatbot Development, MLOps, Python, Communication Skills, GenAI, LLMs

Industry

Staffing and Recruiting

Description

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 You’ll 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, you’ll 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

Responsibilities

You will work on data-driven solutions that utilize machine learning, analytics, and robust data pipelines to deliver insights at scale. Collaborating with Data Engineers and Product Managers, you will help design and operationalize systems that power global digital products.