Senior Climate Machine Learning Scientist

Your Team Responsibilities

• Build physical climate risk models usingstate-of-the-artmethodologies including AI numerical weather prediction applied to climate applications; stochastic ensembles; earthobservingfoundation models; as well as traditional physics-based models.

• Collaborate with our climate scientists, hydrologists, fire scientists, data scientists, and data engineers to translate business requirements into scientific solutions.

• Partner with data, cloud, and security teams to design scalable and maintainable scientific modeling pipelines.

• Support a culture of scientific rigor and excellence in model design, including conducting validation studies to guide continuous improvement of those models.

Your Key Ressponsibilities

• Architect and implement machine learningsolutionsfor climate risk assessments.

• Produce robust, reproducible models which will stand up to validationstudiesinachanging climate.

• Follow teamstandards for machine learningapplications tocreatephysicalrisk models.

• Keepup with the latest developments in machine learning,extremeweather,and climateandbring those developments to improve our models and risk assessments.

• Train machine learning models written inPyTorchor JAX, thenextend them for large scale inferenceon global scales.

• Use dashboards such asmlflow, Weights and Biases, etc.to track and communicatemodel performance and results.

• Be familiar with the latest foundation models such as Aurora, and the latest prediction models such asFourCastNet3.

Your skills and experience that will help you excel

• Ph.D.in Meteorology, Atmospheric Sciences, Oceanography, Hydrology, Physics,Geography,Engineering,Climate,Mathematics,or similar subjects.

• 2+ years ofexperience in roles developing products to meet client requirements.

• Programming experience in Python, R, C/C++, and/or Fortran.

• Experience with cloudoptimizedgeospatial formats such as Cloud OptimizedGeoTIFF(COG),GeoParquet, and related standards.

• Knowledge of the Coupled Model Intercomparison Project (CMIP) outputs and its shared socioeconomic pathways.

• Practical experience using AI tools (i.e.Claude Code, Codex) for writing production scientific code and pipelines.

About MSCI

What we offer you

• Salary range: $102,000 - $133,000 / year.Plus eligible for annual bonus.

• 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 [email protected] 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.

To all recruitment agencies

MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.

Note on recruitment scams

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ID 2026-5875

Category Research

Position Type Full-Time

Location US-NY-New York

Role Category Local Office flex