CAMPUS: Insights & Analytics Data Science Summer Associate (2025)

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Los Angeles, CA
In-Office
Fintech • Financial Services
At Capital Group, our goal is to improve people’s lives through successful investing. We start by investing in you.
The Role

“I can succeed as an Insights & Analytics Data Science Summer Associate at Capital Group.”

  • As a summer associate, you will leverage data to solve strategic, tactical, structured, and unstructured business problems. You have a passion for learning and innovating new technologies at the intersection of applied mathematics / probability / statistics / AI / computer science.

Roles & Responsibilities:

  • Build the capability to study and analyze structured and unstructured data, data from multiple internal and external sources to enable pattern seeking and analysis.

  • Optimize and design territories to maximize sales with limited resources.

  • Analyze advisor, investor and economic trends that impact sales/marketing/business performance and recommend ways to improve outcomes.

  • Craft a pattern recognition process by identifying and integrating internal and external sources of information, analytical tools, and data management and manipulation tools.

  • Perform complex data manipulation and analytics, while working with business functions to identify and to respond to complex technical and business problems.

  • Interpret and communicate analytic results to analytical and non-analytical business partners and senior managers.

I am the person Capital Group is looking for." 

  • You are currently pursuing a bachelor’s or master’s degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science, Econometrics or related discipline, with an anticipated graduation of Spring 2026. Master’s degree highly preferred.

  • Knowledge of one of the statistical analysis tool such as R, SAS, or SQL.

  • Knowledge of predictive analytics/statistical modeling/data mining algorithms. You will have knowledge/experience in some/all of the following: Multivariate Regression, Logistic Regression, Support Vector Machines, Bagging, Boosting, Decision Trees, Lifetime analysis, common clustering algorithms, Optimization, Stochastic Processes.

  • Knowledge of common data structures and ability to write efficient code in at least one language (preferably Java, C++, Python, or Perl).

Hourly Rate: $40/hour Graduate level; $30.50 Undergraduate level

#LI-DNI

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In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital’s annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.

You can learn more about our compensation and benefits here.

* Temporary positions in Canada and the United States are excluded from the above mentioned compensation and benefit plans.


We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

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The Company
HQ: Los Angeles,, CA
8,820 Employees
Year Founded: 1931

What We Do

Capital Group is one of the largest and most trusted financial companies in the world, with the goal of improving people's lives through successful investing. A career at Capital Group means having countless opportunities to explore, grow and succeed.

Why Work With Us

Capital Group has been in business for 91 years, which means that our investment professionals have 91 years of proprietary data at their fingertips.

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