Geospatial Data Scientist - Knowledge Graphs

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 a Data Scientist to develop advanced analytical tools and models to gain new insights from our existing geospatial datasets. You will play a central role in transforming disparate asset-level data into interconnected structures, such as knowledge graphs, that enable deeper understanding of physical infrastructure, natural capital, and climate risk relationships. This technical position requires a strong expertise in data science, graph theory, and scalable computation.

Your Key Responsibilities

• Contribute and co-lead projects as part of the R&D effort of asset-level geospatial datasets, including physical infrastructure and natural capital
• Design and implement methodologies to extract, link, and enrich entities across datasets, producing knowledge graphs and network-based representations of asset-level relationships using Python or R, leveraging machine learning frameworks, graph-theory libraries (e.g., NetworkX, Neo4j, graph neural networks), and statistical modeling.
• Design graph schemas and data models that represent entities such as assets, companies, locations, and environmental features, and the relationships between them.
• Develop and maintain robust pipelines for entity resolution, data linkage, and relationship inference across large-scale tabular and geospatial datasets.
• Collaborate with internal stakeholders and work with engineers to deploy models into production.

Your skills and experience that will help you excel

• 5+ years of experience in (geospatial) data science, exposure/cat modelling, or climate analytics
• Advanced coding skills in Python, with familiarity with data science libraries such as pandas, numpy, scipy, scikit-learn, tidyverse.
• Deep expertise in machine learning and graph modeling, including:
  • Knowledge graph construction,
  • Graph algorithms (clustering, centrality, community detection),
  • Graph databases (Neo4j, Neptune) or graph ML (PyG, DGL)
  • Strong grounding in relational modeling, data linkage, and entity-resolution techniques.
• Experience with parallel computing frameworks such as Dask or multiprocessing is desirable.
• Hands-on experience in cloud environments (GCP, AWS, or Azure) and cloud-native geospatial workflows are desirable.
• Strong written and verbal communication skills.
• MSc/PhD in Computer Science, Data Science, Geospatial Science, Applied Mathematics, Environmental Informatics

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, AI Learning Center , 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.

At MSCI we are passionate about what we do, and we are inspired by our vision – to power better decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.

MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.

MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.

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