Co-Op, Data Scientist

Job Description:

Fidelity Investments, Data Science Co-Op Intern 

The Team 

The Artificial Intelligence Center of Excellence in Fidelity’s Workplace Investing division is a team of data scientists responsible for creating artificial intelligence and advanced analytics solutions to meet the needs of our customers and clients.  Here, we use data science to do such things as uncover customer needs for deeper personalization, provide impactful business insights, optimize customer service, and create new tools designed to improve associate efficiency. 

The Value You Deliver 

The Data Science Co-Op Intern will have an opportunity to work on projects that will have a direct impact to Fidelity’s business.  Working closely with a team of data scientists, they will support advanced analytics/data science/AI projects such as: 

• Develop predictive models to help identify prospective customers and recommend benefit solutions to existing customers. 

• Design and execute experiments to measure the impact of new tools, processes, and models on key business indicators of sales. 

• Investigate new data sources to evaluate their usefulness in predictive modeling projects; generate new data using techniques like adversarial networks and textual data extraction.  

• Apply natural language processing and knowledge graph to identify trends and relationships in textual data to enhance customer relationship management activities.  

• Use explainable artificial intelligence (XAI) and effective data visualization techniques to help associates understand model predictions and justify business decisions.  

• Partner with AI/ML engineers to design, implement, and automate complete end-to-end data science pipelines using cloud technologies.   

The Expertise You Have 

• We are seeking talent who is working on their Master’s or PhD in Data Science, Computer Science, Statistics, or Operations Research or related field to join us for a robust 26 week co-op internship.  

• A strong Python programmer with demonstrated proficiency in data extraction, data engineering, data analysis, machine learning, data modeling and pipeline automation.  

• Familiarity with AWS tools for data science model development and deployment.   

• Experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.  

• Knowledge of advanced natural language processing, generative models, knowledge graph, agentic framework, retrieval augmented generation, reasoning and new emerging paradigms. 

• Effective communication skills – the ability to explain complex data science, statistics, and computer science concepts clearly for a nontechnical audience.  

• Knowledge of software development lifecycle.   

About Fidelity Investments  

At Fidelity, we are focused on 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. 

Certifications:

Category:

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.