Summer 2027 Internship – Consumer Banking (Forecasting Data Science)

About the Role

Ally Financial’s internship program is designed to move students from educated to experienced. Interns receive mentorship, development opportunities, and exposure to diverse teams and leadership across the company while contributing to real business projects.

Work Schedule

Ally designates roles as fully on‑site, hybrid, or fully remote. Hybrid positions require a set number of in‑office days as determined by the manager. Specific work requirements will be discussed during the hiring process and may change based on business needs.

Responsibilities

• Gain hands‑on, project‑based experience supporting the Forecasting & Data Science analytics team.
• Attend orientation, executive speaking series, and learning sessions as part of the intern cohort.
• Participate in the Mentoring Program and Giving Back events.
• Network with peers, team members, and other Ally employees.
• Lead an end‑of‑assignment presentation.
• Support the production and maintenance of robust contact‑center interaction forecasts.
• Query and transform large datasets into business insights using SQL, emphasizing time‑series analysis.
• Leverage AI tools for coding, automation, data analysis, and insight discovery.
• Develop, automate, and publish information reports (Power BI, automated Excel dashboards, etc.).
• Present analysis to key stakeholders and leadership using data‑storytelling best practices.

Qualifications

• Rising junior or senior in a full‑time undergraduate program during the internship.
• Excellent leadership, interpersonal, and communication skills.
• Available for the full internship duration (May 21 – July 31 2027, 40 hours/week).
• Eligible to work in the United States without sponsorship now or in the future.
• Passion for the financial services and technology industry (strongly preferred).
• Preferred technical experience with Snowflake, Excel, Power BI, and Posit (Python and/or R).
• Strong written and verbal communication; ability to present ideas clearly and professionally.
• Strategic, problem‑solving, customer‑focused mindset; openness to feedback and continuous improvement.
• Comfort collaborating with analytics teams and product managers; positive attitude and eagerness to learn.
• Organizational skills: manage multiple tasks and deadlines, attention to detail, reliability.
• Responsive to feedback.
• Preferred degrees: Computer Science, Data Science.
• Minimum qualifications: 0+ years of experience; High school diploma or GED equivalent.

Compensation & Benefits

The internship offers market‑competitive hourly compensation, a sign‑on bonus, and financial housing assistance for qualifying candidates. Successful interns may be considered for an Early Talent Program, a full‑time role, or a second internship.

• Time Away: 20 paid time‑off days (prorated), 11 paid holidays, and 8 hours of volunteer time off yearly.
• Retirement & Future Planning: 401(k) with company match, student‑loan pay‑down, 529 education assistance, tuition reimbursement, employee stock purchase plan, financial learning center, and financial coach access.
• Health & Well‑being: Flexible medical, dental, and vision plans; life insurance for employee, spouse, and child; short‑ and long‑term disability; Health Savings Account with employer contributions; Healthcare FSA; critical illness, accident & hospital indemnity insurance; comprehensive well‑being program.
• Family Support: Adoption, surrogacy, and fertility assistance; paid parental and caregiver leave; Dependent Day Care FSA; backup child and elder care; childcare discounts.
• Work‑Life Integration: Employee Assistance Program, subsidized Weight Watchers® membership, and various employee discount programs.
• Other Compensation: Potential travel allowances, relocation assistance, signing bonus, and equity depending on the role.

Pay

Base hourly rate: $25.00 – $33.00, determined by role scope, experience, education, and other qualifications. This position is also eligible to participate in Ally’s annual incentive plan.