Data Scientist - Manager - Energy & Commodities
Core
Manager-level Data Scientist leading AI/ML strategy and production deployment for clients in Energy & Commodities.
Role type
Manager, hands-on IC data scientist (AI/LLM)
Builds
Production AI/ML models, LLMs, RAG systems, and data pipelines for client products
Domain
Energy & Commodities / Financial Services / AI & Machine Learning
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, Keras, LLMs, RAG systems, vector databases, MLOps, Docker, Kubernetes, CI/CD, data manipulation (NumPy, Pandas, scikit-learn), applied statistics, algorithmic problem-solving
Preferred skills
Consulting background, Energy/Commodities or Financial Services sector experience, Generative AI, prompt engineering, multimodal architectures, data strategy definition
Technologies
Python, TensorFlow, PyTorch, Keras, Docker, Kubernetes, NumPy, Pandas, scikit-learn, LLMs, RAG, vector databases
Responsibilities
Partner with product and business teams to frame AI/ML problems; Evaluate and select AI approaches (LLMs, RAG, classical ML); Design and build ML pipelines from prototyping to production; Develop, fine-tune, and optimize AI models; Set up and maintain AI/ML infrastructure using MLOps; Build data ingestion, transformation, and feature engineering pipelines; Create APIs and tools for operationalizing AI insights; Research and recommend emerging AI capabilities
Seniority
Manager, hands-on IC