Data Scientist (All Levels)

We are seeking a Data Scientist to develop and apply advanced analytics, machine learning, AI, and modern data engineering practices to support structured pricing products, forecasting, valuation, and enterprise data platforms.

The successful candidate will design, build, and maintain analytical models, scalable data pipelines, curated data assets, and AI-enabled tools that deliver timely, accurate insights and automation.

Responsibilities:

• Analyse and organise customer/market data for pricing, planning, and forecasting
• Support the development and validation of reusable data pipelines and curated datasets
• Maintain and validate existing models and recurring reports; troubleshoot data issues
• Develop baseline statistical or ML models
• Use approved AI tools to automate routine analysis and reporting
• Document assumptions, code, and data lineage; support audit and review requests
• Continuously identify small improvements to data quality, model performance, and efficiency

Requirements:

• Bachelor's degree in a quantitative field (e.g., mathematics, statistics, economics, data science, computer science, or similar)
• 0-2 years of experience in analytics, data, or modeling
• Working knowledge of SQL and relational databases
• Hands-on programming for analysis (Python or R) and basic ML/statistical modeling

Preferred Qualifications:

• Master's degree in analytics, statistics, data science, computer science, or similar
• Exposure to energy/utility markets or pricing/forecasting concepts
• Experience with Databricks, Spark, Azure, or similar modern data and analytics technologies

Location and Work Environment:

• This position is based at SouthStar's corporate office in Atlanta, Georgia, with a hybrid work schedule of four days in-office and one day remote per week