Company: Fidelity Technology Group, LLC Title: Co-Op, Data Scientist Location: Boston, MA, Durham, NC Posted Date: Posted Today Employment Type: Full time Sidebar Info: At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want! We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com. Fidelity Investments is an equal opportunity employer. Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation please contact the following: For roles based in the US: Contact the HR Leave of Absence/Accommodation Team by sending an email to accommodations@fmr.com, or by calling 800-835-5099, prompt 2, option 2 For roles based in Ireland: Contact AccommodationsIreland@fmr.com For roles based in Germany: Contact Accommodationsgermany@fmr.com Fidelity Privacy Policy
Job Description: Job Description: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. 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.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
About Fidelity Investments
Fidelity Investments provides financial services to individuals, families, and businesses. The company manages assets including retirement accounts, brokerage services, and investment funds. Founded in 1946, the firm remains privately held. It operates from its headquarters in Boston and maintains a presence in the United States, Ireland, and India. The organization employs over 10,000 people and administers 15 trillion dollars in assets.
How to get in at Fidelity Investments
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