Data Science Intern

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    "datePosted": "2025-09-15T04:00:00.000Z",
    "description": "<h2>Your Team Responsibilities</h2>\n<p>We are developing cutting-edge software to identify and analyze climate change risk exposure of companies and real estate investments. Our models simulate nature and physical risks into insightful metrics for investors. We want to help investors for decision-making by exposing different types of climate risks and providing insightful and actionable data. For this, we are looking for an intern with background in location datasets and geospatial analysis. One of MSCI Climate Risk Center's key capabilities is our GeoSpatial dataset which is also a key input into our many of our climate models such as physical risk and biodiversity risk.</p>\n<p> </p>\n<p>We are looking for a passionate Data Science Intern to support the integration of AI workflows and quality assurance (QA) protocols into our geospatial asset data workflow. This internship is ideal for candidates with strong data science foundations, an eye for data integrity, and curiosity about climate risk and geospatial applications. We can offer a hands-on opportunity to apply data science in a high-impact climate research environment, contributing to tools and datasets used by global investors.</p>\n<h2>Your Key Responsibilities</h2>\n<ul>\n <li>Co-design and implement QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques.</li>\n <li>Apply AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets.</li>\n <li>Build reusable QA tools in Python or R that can be automated and scaled across internal pipelines.</li>\n <li>Work with other research teams, our development team, and other stakeholders so that they can make best use out of the asset location data.</li>\n <li>Contribute to model documentation, reproducibility, and version control of data science assets.</li>\n</ul>\n<h2>Your skills and experience that will help you excel</h2>\n<ul>\n <li>Proficiency in Python (preferred) or R, including libraries such as:\n  <ul>\n   <li>pandas, numpy, scipy for data wrangling and statistical QA</li>\n   <li>scikit-learn, xgboost, lightgbm for lightweight AI/ML modeling</li>\n   <li>pytest, great_expectations, pydantic, or similar tools for data validation and QA</li>\n  </ul></li>\n <li>Familiarity with SQL</li>\n <li>Understanding of data quality dimensions: accuracy, completeness, consistency, uniqueness, timeliness</li>\n <li>Knowledge of exploratory data analysis (EDA) techniques to assess dataset health</li>\n <li>Exposure to MLOps or reproducible science tools (e.g., DVC, MLflow, Jupyter Notebooks), geospatial libraries are a plus</li>\n <li>Experience with automated testing of data pipelines, validation schemas, and data version control and working with cloud computing environments (e.g., Google Cloud, Azure, or AWS) are a plus</li>\n</ul>\n<h2>About MSCI</h2>\n<p> </p>\n<p><strong>What we offer you</strong></p>\n<ul>\n <li>Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.</li>\n</ul>\n<ul>\n <li>Flexible working arrangements, advanced technology, and collaborative workspaces.</li>\n</ul>\n<ul>\n <li>A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.</li>\n</ul>\n<ul>\n <li>A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.</li>\n</ul>\n<ul>\n <li>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.</li>\n</ul>\n<ul>\n <li>Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.</li>\n</ul>\n<ul>\n <li>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.</li>\n</ul>\n<p>At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment 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.</p>\n<p>MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process.</p>\n<p>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.</p>\n<p> </p>\n<p><strong>To all recruitment agencies</strong></p>\n<p>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.</p>\n<p> </p>\n<p><strong>Note on recruitment scams</strong></p>\n<p>We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com</p>",
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