Co-Op, Data Scientist

Location: Boston, Massachusetts, US
Recruiter: Fidelity Investments
Date posted: Saturday, November 15, 2025

Job Description:
Job Description:

Job Description: Co-op, Data Scientist (Fidelity Investments)
Position Summary:
As a Co-op Data Scientist at Fidelity Investments, you will work closely with senior data
science leaders to develop and deploy innovative data-driven solutions that support
multiple business functions. This role offers exposure to cutting-edge analytics, Generative
AI, and emerging agentic AI solutions. You will collaborate with cross-functional teams to
translate business challenges into actionable analytical projects, enhancing decision-making
capabilities and delivering measurable business impact.
Primary Responsibilities:
Assist in the design, development, and deployment of machine learning and data science
solutions for business applications, including predictive modeling, natural language
processing (NLP), and generative AI use cases.
Support integration of AI/ML models into production systems under guidance from senior
team members.
Conduct exploratory data analysis (EDA) to identify patterns, trends, and insights from
structured and unstructured datasets.
Participate in the development of algorithms and provide feedback on design and
performance improvements.
Assist with validation, testing, and monitoring of deployed models to ensure performance
and reliability.
Collaborate on generative AI initiatives, including prompt engineering, fine-tuning, and
evaluation of large language models.
Contribute to agentic AI research efforts, exploring autonomous multi-step reasoning
systems for business problem-solving.
Prepare technical and non-technical documentation for analytical solutions and present
findings to internal stakeholders.
Follow data governance and compliance practices to ensure data integrity and ethical AI
standards.
Education and Experience:
Currently pursuing or having recently completed a Bachelor's or Master's degree (or foreign
equivalent) in Network Science, Analytics, Data Science, Advanced Computer Science,
Computer Science, Engineering, Information Technology, Information Systems,
Mathematics, or a closely related field. Coursework or project experience in machine
learning, natural language processing, and generative AI is highly desirable.
Skills and Knowledge:
Fundamental understanding of supervised and unsupervised machine learning algorithms
(Regression, Decision Trees, Neural Networks, Clustering).
Familiarity with NLP techniques including Named Entity Recognition, text classification,
and embeddings, as well as generative AI methods (transformers, large language models).
Basic experience with agentic AI workflows, including multi-step reasoning and
autonomous task execution.
Proficiency in Python and familiarity with key ML libraries (scikit-learn, TensorFlow,
PyTorch) and data manipulation packages (Pandas, NumPy).
Exposure to cloud-based machine learning platforms (AWS SageMaker, Google Cloud AI,
or Azure ML) is a plus.
Ability to preprocess, clean, and visualize data using standard data science tools.
Strong analytical thinking, problem-solving abilities, and eagerness to learn in a
collaborative environment.
Work Location:
This is an on-site position based in Boston, MA.

The base salary range for this position is $39 - $70 per hour.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.

Note, the application window closes when the position is filled or unposted.

Fidelity's hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Certifications:

Category:

Administration

Apply for this job on Fidelity Investments