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 Fin

Tech team as a Business Systems Engineer Intern.

This internship offers hands-on experience supporting the full suite of Fin

Tech 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 Fin

Tech 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 Fin

Tech, 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 Fin

Tech organization
**Responsibilities:**
Support Fin

Tech 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 Lang

Chain, Workato AI, and UiPath
Configure and maintain Jira automation rules to support intake, tracking,



and delivery of Fin

Tech 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 Fin

Tech 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 Lang

Chain, Workato AI
Experience with automation tools such as Jira automation, Python scripting
Basic understanding of financial 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 workplace 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._

📌 Business Systems Engineer Intern, Finance Technology (Summer 2027) (Toronto)
🏢 Lyft
📍 Toronto