Gen AI

Essential Duties/Responsibilities:
• Understanding of machine learning and deep learning models to select and implement for
prediction, classification, and clustering projects
• Apply machine learning or reinforcement learning to optimize marketing efforts with respect to
customer acquisition, retention, pricing, cross-selling, operations and trading
• Passion to learn latest AI techniques and explore applications for large language models
• Understanding of the business context of projects and able to identify areas where models will be
less predictive or have caveats to their predictive powers
• Ability to translate complex business issues into achievable analytical learning objectives and
actionable analytic projects
• Ability to communicate and establish good relations with multi-disciplinary teams
• Proficiency with Python, including pandas, scikit-learn
• Experience in Spark or Pyspark

Minimum Requirements:
• Bachelor’s degree in a quantitative field, such as Statistics, Mathematics, Computer Science,
Economics, Engineering, or Operations Research required.
• 2+ years of experience in statistical modeling and quantitative analysis in industry or full-time
academic research

Preferred Qualifications:
• Advanced Degree (MS or PhD) in Statistics, Mathematics or Quantitative Marketing with a focus on
machine learning is strongly preferred.
Additional Knowledge, Skills and Abilities:
• Experience with Databricks
• Experience with AWS SageMaker
• Experience with Azure AI Studio
• Retail electricity or gas experience
• Comfortable working in Linux
• Experience with Git
• Experience with Docker containers
• Ability to learn and apply new quantitative techniques quickly and appropriately
• Ability to interpret and communicate complex analytics results
• Ability to identify practical business implications
• Good communication skills
• Keen attention to detail
• Think critically about analyses to ensure the conclusions make sense before sharing