Business Systems Engineer Intern, Finance Technology (Summer 2027)

Description

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

We are seeking a motivated, technical student to join our Corporate FinTech team as a Business Systems Engineer Intern. This internship offers hands-on experience supporting the full suite of FinTech applications, modernizing finance and business operations through automation, integration, and AI. You'll work alongside finance, systems, and engineering partners across ERP, HCM, Procurement, Supply Chain, and FP&A to streamline processes, reduce manual work, and build scalable solutions for a public company.

Some things you'll gain and learn during this internship include:

Hands-on experience across enterprise FinTech applications, including Oracle ERP, Oracle HCM, and Workato

Practical exposure to applying AI and RPA to real finance and business problems

Exposure to corporate finance, HR, procurement, supply chain, and FP&A processes at a public company

Mentorship from experienced FinTech, automation, and technical professionals

Understanding of how system integration and automation drive finance transformation

Experience working with cross-functional stakeholders across Finance, HR, Procurement, IT, and Engineering

Professional development in agile methodologies and project management

Potential pathway to full-time opportunities within our growing FinTech organization

Responsibilities

• Support FinTech applications and processes across Procurement, Supply Chain, and FP&A, including Oracle ERP, Oracle HCM, Jira, and Google Workspace
• Design, build, and maintain automation workflows using Workato, Python, and related tools under the mentorship of senior team members
• Identify manual, repetitive processes across finance and business operations and help translate them into automated, well-documented solutions
• Write SQL queries to extract, transform, and validate data across source systems
• Support data validation and reconciliation processes to ensure accuracy across integrations, reports, and applications
• Explore and prototype AI-powered solutions using tools such as LangChain, Workato AI, and UiPath
• Configure and maintain Jira automation rules to support intake, tracking, and delivery of FinTech projects
• Assist in building reports and dashboards that give stakeholders visibility into financial and operational data
• Participate in testing of new automations, integrations, configuration changes, and system updates
• Learn to gather business requirements from stakeholders and translate them into functional technical solutions
• Provide first-level end-user support and troubleshooting across FinTech applications and automated workflows
• Participate in stakeholder meetings, process mapping sessions, and training
• Experience:
• Currently pursuing a Bachelor's or Master's degree at a university in Canada (required) in Computer Science, Data Engineering, Information Systems, Finance, or a related field, with a graduation date between December 2027 and Summer 2028 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience
• Available during Summer 2027 for the internship in Toronto
• Working knowledge of Python for scripting, data manipulation, or automation
• Proficiency in SQL for querying and analyzing data
• Experience with or strong interest in Workato or similar integration platforms
• Proficiency with AI frameworks such as LangChain, Workato AI
• Experience with automation tools such as Jira automation, Python scripting
• Basic understanding of financial reporting
• Proficiency in Excel and Google Workspace
• Strong analytical and problem-solving abilities with attention to detail
• Excellent communication skills and ability to explain technical concepts to non-technical partners
• Self-motivated with the ability to learn quickly in a fast-paced environment
• Nice to Haves:
• Familiarity with Procurement, Supply Chain, or FP&A processes
• Experience with business intelligence tools and building reports or dashboards
• Exposure to data engineering concepts such as data pipelines, data modeling, or ETL
• Prior internship or project experience in automation, data analysis, or business systems

Benefits

• Mental health benefits
• In addition to holidays, interns receive 2 days paid time off and 3 days sick time off
• Subsidized commuter benefits and Lyft ride credits
• Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.
• Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Hybrid
• The expected base pay range for this position in the Toronto area is CAD $40 - CAD $43 per hour. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
• Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.
• This is a new position.