Job description

We are looking for a highly skilled ETRM Data Scientist with 7+ years of experience to join our advanced analytics team. The ideal candidate will have deep expertise in time-series forecasting, scalable ML systems, and MLOps, with hands-on experience in energy trading (ETRM) environments. This is a high-impact role for someone passionate about building intelligent solutions in a cloud-native setting.

Mandatory Skills

Data Science & Machine Learning

• Expertise in time-series forecasting, predictive modelling, and deep learning.
• Experience with ML algorithms such as ARIMA, LSTM, Prophet, Linear Regression, Random Forest.
• Strong proficiency in scikit-learn, XGBoost, Darts, TensorFlow, PyTorch, Pandas, and NumPy.
• Proven knowledge of ensemble techniques ( stacking, boosting, bagging) for robust model design.
• Ability to optimize and retrain production ML models based on evolving data and business needs.

MLOps Implementation

• Proficiency in Python-based MLOps frameworks for automated pipelines, monitoring, and retraining.
• Hands-on experience with Azure Machine Learning Python SDK:
• Designing parallel model training workflows.
• Utilizing distributed computing for large-scale data processing.

Big Data Analytics

• Strong experience with PySpark for distributed data processing and large-scale analytics.

Azure Cloud Expertise

• Azure Machine Learning: Model deployment, training orchestration, lifecycle management.
• Azure Databricks: Data engineering and collaborative development using PySpark/Python.
• Azure Data Lake: Managing scalable storage and analytics pipelines for large datasets.

Preferred Skills

• K-Means Clustering for segmentation and pattern analysis.
• Bottom-Up Forecasting for hierarchical business insight generation.
• Azure Data Factory for pipeline orchestration and ETL integration.
• Basic understanding of power/energy trading and ETRM systems.
• Exposure to Generative AI (GenAI) such as GPT or similar technologies.