At MFS, you will find a culture that supports you in doing what you do best. Our employees work together to reach better outcomes, favoring the strongest idea over the strongest individual. We put people first and demonstrate care and compassion for our community and each other. Because what we do matters - to us as valued professionals and to the millions of people and institutions who rely on us to help them build more secure and prosperous futures.
Data Scientist Analyst Co-op MFS is a global investment management firm focused on creating long-term value responsibly by doing what's right for our clients every day. Our rich history dates to 1924, when our founders invented the mutual fund. Since then, collaboration and innovation have fueled our success. Our unwavering commitment to finding the best, most durable investment opportunities is what sets us apart - and our success is grounded in our unique approach, disciplined philosophy and collaborative culture.
THE ROLE Joining our team provides opportunities to share your voice and talents, tackle challenging problems, create solutions and collaborate with dedicated co-workers. This Co-op experience provides participants with meaningful, relevant work experience as part of their academic studies. In addition to daily responsibilities, participants will have the opportunity to participate in a series of structured activities designed to enhance their learning experience including:
Co-op New Hire Orientation
Senior Leadership Speaker Series
Social & Networking Events
Presentation Challenges
At the conclusion of this position, co-ops will have increased their knowledge of investing, the mutual fund industry, employee engagement, and a firm understanding of how information technology works at an asset manager.
MFS co-op positions are a 6-month commitment, working Monday - Friday (July 7th through December 18th, 2026), and work between 35-40 hours. Our program is designed for undergraduate and graduate students who are currently enrolled in a co-op program through their college or university and can meet our requirements.
JOB SUMMARY The Data Scientist Analyst Co-op position involves working as part of a dynamic team of Data Scientists, Sales Strategists, and Market Data Analysts within the Technology and Distribution departments. This team works with internal business partners within Distribution to develop models and provide analytics to improve decision-making.
WHAT YOU WILL DO Primary functions include, but are not limited to:
Working with domain specialists in Distribution and Technology to integrate business needs with data analytics technology solutions. These solutions will be delivered by:
a. Defining the problem and identifying business requirements.
b. Identifying, collecting, loading, and preparing the data.
c. Building analytical models using descriptive, predictive and other advanced analytical techniques on transformed data sets.
d. Analyzing and interpreting the results of the analytical models
e. Designing and implementing data analytics pipeline into production environment
e. Communicating results clearly and concisely using visual formats.
2. Working with other Data Scientists and Technology domain specialists to identify opportunities and deliver novel process improvements to the Distribution business units, leveraging:
a.Data from internal systems including CRM, Sales, and MFS.com
b.Third-Party Market Data
c.Other identified data sets as required
WHAT WE ARE LOOKING FOR - Pursuing a Bachelor's or Master's degree in a related area. Data Science, Statistics, Computer Science, Mathematics, Economics, Analytics, or Applied Mathematics are preferred.
- Experience in applying Advanced Analytics and/or Data Science Modeling Techniques. This could be project experience as part of a class or work experience
- Strong expertise utilizing Python for machine learning and statistical analysis with object-oriented code structure
- Basic knowledge of the following - Supervised and Unsupervised Learning including Classification Models, Cluster Analysis, Neural Networks, Non-parametric Methods, Multivariate Statistics, Reliability Models, Markov Models, Stochastic models, Bayesian Models as well as NLP (Natural Language Processing)
- Comfort manipulating and analyzing data in various formats. Experience with complex, high-volume, high-dimensionality data from varying sources is a plus.
- Understanding Generative AI capabilities as well as prompt formatting
- Understanding of relational, XML and NoSQL database models with and associated data access methods (SQL)
- Strong communication skills
- Proven analytical skills and demonstrated ability to take initiative and help with developing creative solutions to meet business needs
- Experience working on a team, preferably on projects
If any applicant is unable to complete an application or respond to a job opening because of a disability, please contact MFS at or email for assistance.
MFS is an Affirmative Action and Equal Opportunity Employer and it is our policy to not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, marital status, sexual orientation, gender identity, genetic information, disability, veteran status, or any other status protected by federal, state or local laws. Employees and applicants of MFS will not be subject to harassment on the basis of their status. Additionally, retaliation, including intimidation, threats, or coercion, because an employee or applicant has objected to discrimination, engaged or may engage in filing a complaint, assisted in a review, investigation, or hearing or have otherwise sought to obtain their legal rights under any Federal, State, or local EEO law is prohibited.
MFS is a
hybrid work environment (remote/onsite) unless otherwise stated in the job posting .
If any applicant is unable to complete an application or respond to a job opening because of a disability, please contact MFS at or email for assistance.
MFS is an Equal Opportunity Employer and it is our policy to not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, marital status, sexual orientation, gender identity, genetic information, disability, veteran status, or any other status protected by federal, state or local laws. Employees and applicants of MFS will not be subject to harassment on the basis of their status. Additionally, retaliation, including intimidation, threats, or coercion, because an employee or applicant has objected to discrimination, engaged or may engage in filing a complaint, assisted in a review, investigation, or hearing or have otherwise sought to obtain their legal rights under any Federal, State, or local EEO law is prohibited. Please see the Know Your Rights: Workplace Discrimination is Illegal document, linked for your reference.
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