AI Anomaly Detection for Energy Data

I need a skilled data scientist to train and validate AI models using historical household energy consumption data. The primary goal is to detect anomalies in the data.

Key Requirements:

- Train AI models (regression, classification, or time-series)
- Validate models for accuracy and reliability
- Use historical energy consumption data

Ideal Skills and Experience:

- Expertise in machine learning and AI
- Strong background in data analysis and statistics
- Experience with energy consumption datasets
- Proficiency in programming languages like Python or R
- Ability to deliver clear, actionable insights from the models

Please provide examples of similar work and your approach to the project.