Co-Op, Data Scientist

Fidelity • Boston, MA

4d • $39 - $70 • Hybrid

About The Position

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.

Requirements

• 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.
• 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).
• 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.

Nice To Haves

• Coursework or project experience in machine learning, natural language processing, and generative AI is highly desirable.
• Exposure to cloud-based machine learning platforms (AWS SageMaker, Google Cloud AI, or Azure ML) is a plus.

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.

What This Job Offers

• Career Level: Intern