Enterprise Sustainability & Impact Intern - Modeling & Analytics, Summer 2027

Northwestern Mutual•Milwaukee, WI

10d•$17 - $30•Onsite

About The Position

In this role, you will support Northwestern Mutual's Enterprise Sustainability & Impact team and work alongside your hiring manager, mentor, and team on an enterprise-relevant project. This role offers the opportunity to apply quantitative and analytical methods to explore climate- and environmental-related risks, identify meaningful trends and patterns, and support business-relevant insights that contribute to enterprise resilience, sustainability, and long-term business performance. The project scope and analytical approach may be shaped by business needs as well as the selected candidate's background, experience, and perspective.

Requirements

Currently pursuing a master's or doctoral degree from an accredited college or university in Environmental, Resource, or Agricultural Economics; Geography or Geospatial Science; Data Science, Statistics, Applied Mathematics; Risk Management & Insurance; Climate Science, Environmental Science, Sustainability; Economics, Finance; or a related quantitative discipline.
Available to participate in a full-time, onsite internship in Milwaukee, Wisconsin, during Summer 2027.
Cumulative grade point average of 3.0 or higher.
Demonstrated quantitative, analytical, research, and problem-solving ability.
Demonstrated ability to communicate complex analytical findings clearly and effectively to both technical and non-technical audiences.
Commitment to high ethical standards, data integrity, confidentiality, and responsible data stewardship.

Nice To Haves

Experience applying quantitative methods—such as econometrics, statistical or financial modeling, valuation, and scenario or sensitivity analysis—to evaluate uncertainty, risks, and potential outcomes.
Proficiency with analytical tools such as Python or R; data visualization platforms such as Power BI or Tableau; and/or Geographic Information Systems such as ArcGIS or QGIS.
Experience preparing, analyzing, quality-checking, and documenting large, complex, or multi-source datasets.
Familiarity with climate, hazard, weather, environmental, and socioeconomic data used in climate risk analysis, including sources such as NOAA, Climate Central, FEMA, the U.S. Census Bureau, or comparable datasets.
Ability to critically assess assumptions, costs, risks, benefits, and alternatives; communicate findings clearly through oral, written, and visual formats; and offer constructive perspectives in consultative discussions.
Demonstrated initiative, intellectual curiosity, and learning agility, with the ability to work independently, collaborate across teams, and manage multiple priorities.
Prior internship or professional experience in a corporate, consulting, financial services, insurance, sustainability, or related environment is preferred; insurance or financial services experience is a plus.

Responsibilities

Conducting research and analyzing climate, environmental, economic, geospatial, financial, and other relevant datasets to identify trends, patterns, and potential business implications.
Applying quantitative and analytical methods to explore climate- and environmental-related risks and opportunities, using approaches appropriate to the project, available data, and candidate expertise.
Developing clear data visualizations, which may include maps, dashboards, charts, or other visual analytical products, to communicate findings and support decision-making.
Translating complex analytical findings into concise, business-relevant insights and recommendations for technical and non-technical stakeholders.
Preparing executive-ready presentations, written summaries, and other materials for the Enterprise Sustainability & Impact team and cross-functional business partners.
Contributing to the development of repeatable tools, methodologies, or processes that can support future analysis and decision-making.
Collaborating cross-functionally to understand business context, test assumptions, and strengthen the relevance of the work.