Data Scientist – Time Series, Statistical Modelling & Azure Data Bricks

📋 Description

• Develop analytics using Python, ML, and forecasting.
• Create time-series forecasting and feature engineering.
• Build geospatial analytics and location modelling.
• Design and deploy scalable models on Databricks and Azure.
• Explain model results to business stakeholders.
• Collaborate with cross-functional teams.

🎯 Requirements

• Statistical forecasting and time-series modelling.
• Python for data science; Pandas, NumPy, SciPy.
• SQL for data querying and analysis.
• Geospatial analytics with GeoPandas/Shapely.
• Databricks, Spark, PySpark on Azure.
• Model explainability and interpretation.

🎁 Benefits

• Diverse, inclusive culture.
• Clear career progression and growth.
• Work with global banks and energy clients.
• Collaborative, flat-structure teams.
• Global exposure across multiple cities.