Firm Overview: Cambridge Associates ("CA") is a leading global investment firm. CA's goal is to help endowments & foundations, pension plans, and ultra-high net worth private clients implement and manage custom investment portfolios that generate outperformance so that they can maximize their impact on the world. Cambridge Associates delivers a range of services, including outsourced CIO, non-discretionary portfolio management, and investment consulting.
Headquartered in Boston, Massachusetts, CA has offices in key markets in North America, the United Kingdom, Europe, Asia, and Oceania. Our worldwide teams ensure our clients benefit from decades of global presence, local expertise, and relationships with the top global investment managers across the world. For more information, please visit
Job Description Summary: Resume and Cover Letter are required to complete your application.
The 10-week Data Scientist Internship Program provides an introduction and immediate exposure to the intersection of data science and investment research, along with an opportunity to work alongside Data Scientists with a range of experiences. Interns attend a team orientation and training program which introduces and familiarizes them with our data, research resources, and investment teams. Interns assume significant responsibility throughout the program, collaborating directly with their team on software development projects and statistical analysis.
Job Description: Position Specifics: - Location of Position: Boston, MA
- Program Length: 10-week program from June 1 to August 7, 2026 (open to rising juniors and seniors: Class of 2028 & 2027)
- Required for Application: Resume and Cover Letter
- Office Requirement: Summer Interns are expected to work in their assigned office at least 4 days per week with the option to work from home 1 day per week.
- Expected Hours: Summer Interns are expected to work 40 hours per week
- Base Pay/Salary: Boston, MA: $25 / hour
- Additionally, offer includes sign-on bonus.
Responsibilities: - Partner with data science and investing professionals across the technology stack on both investment and data-related content allocation, spending, and performance data
- Collaborate with Data Scientists to deliver high quality insights within project scope and timeframes
- Apply novel statistical methods to analyze data obtained from a variety of sources
- Participate in planning activities related to projects the Investment Science Team undertakes
- Write basic unit tests and support test driven development/automation within the investment science code base
- Work on Research and Development activities and prototypes
- Participate in peer code reviews
We Offer: - In-depth orientation and training program that introduces interns to Cambridge Associates and investment management as well as self-guided learning opportunities through our online learning platforms
- Providing insight to three tracks within the department - engineering, AI, and data analysis - with opportunities to tailor your experience
- Mentorship from tenured Data Scientists who serve as key resource during intern program
- Exposure to top-tier investment managers
- Intern specific networking events, as well as opportunities to engage with employee resource groups and service council to promote collaboration and corporate citizenship
Qualifications: - Current enrollment in Bachelor's degree program
- Strong educational or experiential foundation in Math, Computer Science or Data Analysis
- Experience and comfort with coding in R or Python
- Passion for solving complex problems through data
- Ability to thrive in an environment that will consist of in-person and work from home options
- Proactive communicator
- Interest in learning about finance and investment management
- Must be eligible to work in the US without sponsorship or restriction now or in the future
Base salary range for this role:
Pay Range Minimum:
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Pay Range Maximum:
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In addition to the listed salary range, this position is eligible for an annual performance-based bonus and a comprehensive, competitive benefits package. Actual placement within the stated salary range will be determined based on factors such as skills, experience, and qualifications, as well as internal equity.
The firm is committed to the concept and practice of equal employment opportunity and will not discriminate against any employee or applicant on the basis of race, color, religion, age, sex, national origin, sexual orientation, gender identity, disability, or veteran status. It is expected that all employees will follow a similar policy toward their co-workers.
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