Your Team Responsibilities
We are developing cutting-edge tools to identify and analyze climate change risk exposure of companies and real estate investments. Our models simulate natural and physical risks into insightful metrics for investors. A cornerstone of our climate modeling capabilities is our GeoSpatial dataset of asset locations, which is integrated into multiple models such as physical risk and biodiversity risk.
The team is seeking an AI and Data Scientist to contribute to the development of novel data extraction tools and workflows to expand our coverage of physical and natural assets and their associated attributes and further our QA processes. This is a technical role requiring deep expertise in AI and ML approaches to data collection and data evaluation, as well as strong computational skills.
Your Key Responsibilities
- Contribute to and co-lead R&D projects exploring novel methods for extracting information from structured, semi-structured, and unstructured data (documents, imagery, text, APIs, geospatial data sources, etc.).
- Design, prototype, and evaluate scalable models, including LLMs, to improve asset detection, attribute inference, and classification with robust QA and data-validation processes
- Experiment with state-of-the-art ML techniques (LLMs, RAG pipelines, computer vision, geospatial ML, anomaly detection, weak supervision, multimodal models)
- Work with engineers to deploy systems into production
Your skills and experience that will help you excel
- Strong background in Machine Learning and AI, including hands-on experience with LLMs, transformers, embeddings, and deep learning frameworks (PyTorch, TensorFlow, JAX).
- Expertise in Python and common data-science libraries (Pandas, NumPy, Scikit-learn).
- Experience building data-extraction pipelines using NLP, vision models, information retrieval, or weak supervision.
- Experience with geospatial data using tools such as GeoPandas, GDAL, Rasterio, Shapely, or PostGIS is desirable.
- Hands-on experience in cloud environments (GCP, AWS, or Azure) and cloud-native geospatial workflows are desirable.
- Strong understanding of data quality workflows, anomaly detection, and validation frameworks.
- PhD/MSc degree in Computer Science, Data Science, Machine Learning, Geospatial Science, Environmental Science, or a related field; or equivalent hands-on experience.
About MSCI
What we offer you
- Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
- Flexible working arrangements, advanced technology, and collaborative workspaces.
- A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.
- A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.
- Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.
- Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.
- We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum.
