Data Scientist

Overview

In this Data Scientist II role, you will lead end-to-end analytical work, building robust models to solve complex business problems within the Energy Transition & Environment team. You will translate client needs into rigorous mathematical frameworks and production-ready components, mentoring peers and pushing technical boundaries. You will design and validate models, craft scalable architectures, and ensure ethical, transparent AI delivery that drives measurable impact. This is an opportunity to shape responsible AI solutions that support the net-zero energy transition.

Responsibilities

• Design and implement core data science approaches for project workstreams, selecting algorithms and validation strategies
• Combine domain expertise with advanced ML techniques to solve unique business challenges
• Own end-to-end delivery of model components, ensuring scalability, robustness and mathematical rigor
• Develop innovative algorithms or adapt existing frameworks to client requirements and constraints
• Build software architecture to productionize models and agentic workflows
• Support Level 1 Data Scientists with technical guidance and peer reviews
• Manage personal delivery timelines and proactively identify and mitigate technical risks or data limitations

Key requirements

• Expertise in statistical modeling and deep learning frameworks (PyTorch or TensorFlow)
• Strong ability to extract valid insights from messy/incomplete datasets
• Ability to translate high-level client needs into actionable DS requirements and mathematical frameworks
• Promote best practices to ensure transparent, ethical AI with peer-reviewed standards
• Clear communicator capable of managing technical discussions with customers
• High proficiency in advanced Python and production-grade AI architectures

• Clear communication
• Mentorship and peer review
• Cross-functional collaboration
• PyTorch
• TensorFlow
• Python (advanced)

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