Equity Research Intern

Job Description

Summer 2027 Equity Research Intern – Data + AI

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Location: New York, NY | Hybrid

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Program Duration: Summer 2027 (10-12 Weeks) (30 hr per week commitment)

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Looking for applicants anticipated to graduate between December 2027 and May 2028

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About M Science

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M Science is a research and data intelligence firm serving institutional investors. We help clients understand what's changing across companies, industries, and consumer behavior by turning differentiated data into actionable insights.

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Clients access our Analyst-curated insights through our written research, explore the underlying data in our dashboards and Unified Data Model (UDM), or integrate our intelligence directly into their workflows and AI environments through our MCP Server.

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The Opportunity

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We are seeking an Equity Research Intern to join our research team for the summer. This internship is designed for students who are passionate about financial markets, data analytics, and the use of differentiated data in investment research. You will work alongside senior analysts and their associate teams to build models, perform data analysis, and contribute to the publication of research insights used by top hedge funds and asset managers.

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Key Responsibilities

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• Assist in the development of financial and statistical models to estimate and forecast company and industry performance.
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• Analyze large proprietary datasets using Python, SQL, Tableau, and Databricks.
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• Support senior analysts in writing and editing equity research reports.
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• Gather and synthesize information from financial statements, regulatory filings, and industry publications.
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• Help vet and explore new differentiated data sources for potential use in research.
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• Contribute to client deliverables, including ad hoc analysis and presentation materials.
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• Collaborate with cross-functional teams, including data engineers and sales, to deliver actionable insights.
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• Leverage AI to generate insights and improve workflows.
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What You’ll Learn

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• How differentiated data is leveraged to generate investment insights.
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• Practical application of Python, SQL, Excel, Tableau, and Databricks in equity research.
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• Best practices in financial modeling, forecasting, and KPI analysis.
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• How hedge funds and asset managers evaluate company and industry performance.
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• Research writing and client communication skills.
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Preferred Qualifications

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• Currently pursuing a Bachelor’s or Master’s degree in Finance, Economics, Statistics, Computer Science, Mathematics, Engineering, or a related field anticipated to graduate between December 2027 and May 2028.
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• Strong technical skills in Python (data analysis libraries), SQL, and data visualization (Tableau).
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• Strong technical skills in Excel.
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• Knowledge of financial statements and basic accounting concepts.
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• Excellent written and verbal communication skills.
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• Highly analytical, detail-oriented, and intellectually curious.
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• Demonstrated interest in financial markets and individual stock performance.
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Nice-to-Have Skills

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• Familiarity with big data platforms such as Databricks or Spark.
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• Experience with financial modeling and KPI forecasting.
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• Exposure to equity research, investment banking, or asset management.
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• Familiarity with differentiated data, market research, or statistical analysis techniques.
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Why M Science?

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• Gain first-hand exposure to how differentiated data drives investment decision-making.
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• Work directly with senior research analysts and contribute to client-facing reports.
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• Hybrid work model offering both in-office collaboration and flexibility.
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• A collaborative culture that values learning, innovation, and curiosity.
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Hourly Rate: Up to $45/hr USD