Your Team Responsibilities

The ESG & Climate Carbon Markets Data Science team builds intelligent, scalable AI applications that power MSCI’s carbon and climate analytics platforms. In this role, you will bring cutting-edge AI/ML techniques to production, including agentic modelling, LLM integration, time series forecasting, and carbon-specific prediction systems. You will collaborate with data scientists, engineers, and product owners to transform ideas into deployable tools.

Your Key Responsibilities

• Design, build, and deploy AI-powered applications and forecasting systems in Python
• Leverage LLMs, agentic frameworks (e.g., Vertyex AI, LangChain), and generative AI to automate research and analysis
• Develop time series and ML models (e.g., XGBoost, LSTM) to forecast carbon prices and project outcomes
• Build interactive user interfaces using Dash, Streamlit, or React
• Maintain cloud-native workflows in GCP (Vertex AI, Cloud Run/Job)
• Ensure code quality through unit testing and infrastructure practices (Terraform a plus)
• Collaborate with cross-functional teams to translate business needs into technical solutions

Your skills and experience that will help you excel

• Strong Python skills with production-grade development experience
• Experience using LLMs and agentic modelling frameworks
• Knowledge of machine learning pipelines and cloud tools (GCP preferred)
• Hands-on work with forecasting models and unstructured data processing
• Strong UI development experience with Dash, Streamlit, or React
• Familiarity with CI/CD and infrastructure-as-code (Terraform is a plus)
• Ability to work independently while aligning with product strategy and data governance

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