What are the responsibilities and job description for the FALL 2025 - Data Science Analyst Co-op (6 months) position at MFS Investment Management?
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 a 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 8th - December 19th), 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. 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
If any applicant is unable to complete an application or respond to a job opening because of a disability, please contact MFS at 617-954-5000 or email talent_acquisition@mfs.com 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.
PDN-9e12cc40-2f82-4575-b316-bcc509d1f4ba
