Data Scientist II - Zonda - Glasgow, Scotland, United Kingdom
Core
Mid-level data scientist responsible for housing data analytics, modeling, and production ML integration to support real estate insights.
Role type
mid-level IC data scientist (housing analytics)
Builds
production ML models and data pipelines for real estate analytics
Domain
real estate / housing market analytics
Deliverable
production ML models
Required skills
Python, SQL, statistical modeling, feature engineering, data visualization, Git, cloud platforms (AWS/GCP/Azure), DevOps practices
Preferred skills
MLflow, Docker, Kubernetes, AWS Sagemaker, housing economics knowledge, API development (FastAPI/Flask)
Technologies
Python, NumPy, Pandas, Matplotlib, scikit-learn, SQL, Git, AWS, Google Cloud, Azure, MLflow, Docker, Kubernetes, Sagemaker, FastAPI, Flask
Responsibilities
Collect, clean, and preprocess housing data; conduct exploratory data analysis; design and run ML experiments for predictions and segmentation; collaborate with stakeholders to define requirements; integrate ML models into production systems; monitor model performance and detect drift; document datasets and workflows.
Seniority
Mid-level, hands-on IC