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 : Company Overview

Fidelity Investments is a privately held company with a mission to strengthen the financial well-being of our clients. We help people invest and plan for their future. We assist companies and non-profit organizations in delivering benefits to their employees. And we provide institutions and independent advisors with investment and technology solutions to help invest their own clients' money.

Join Us

At Fidelity, you'll find endless opportunities to build a meaningful career that positively impacts peoples' lives, including yours. You can take advantage of flexible benefits that support you through every stage of your career, empowering you to thrive at work and at home. Honored with a Glassdoor Employees' Choice Award, we have been recognized by our employees as a top 10 Best Place to Work in 2024. And you don't need a finance background to succeed at Fidelity-we offer a range of opportunities for learning so you can build the career you've always imagined.

Fidelity's hybrid working model blends the best of both onsite and offsite work experiences. Having the majority of our associates work onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most roles listed as Hybrid will require associates to work onsite all business days of every other week in a Fidelity office. This does not apply to roles listed as Remote or Onsite.

At Fidelity, we value honesty, integrity, and the safety of our associates and customers within a heavily regulated industry . Certain roles may require candidates to go through a preliminary credit check during the screening process. Candidates who are presented with a Fidelity offer will need to go through a background investigation, detailed in this document, and may be asked to provide additional documentation as requested. This investigation includes but is not limited to a criminal, civil litigations and regulatory review, employment, education, and credit review (role dependent). These investigations will account for 7 years or more of history, depending on the role. Where permitted by federal or state law, Fidelity will also conduct a pre-employment drug screen, which will review for the following substances : Amphetamines, THC (marijuana), cocaine, opiates, phencyclidine.

We invite you to Find Your Fidelity at fidelitycareers.com.

Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging.

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, contact the HR Accommodation Team by sending an email to accommodations@fmr.com.

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