Finance Automation & Analytics Co-op

At Boston Scientific we value collaboration and synergy.

This role follows a hybrid work model requiring employees to be in our local office at least three days per week.

Relocation and housing assistance is not available for this position.

Boston Scientific will not offer sponsorship or take over sponsorship of an employment VISA for this position at this time

We will consider qualified applicants of all ages who are starting (or restarting) their careers

About the role

As a Finance Automation & Analytics Co-op you will support the evaluation prioritization and delivery of business process improvement opportunities using data automation and artificial intelligence. Working with subject-matter experts process owners and technical team members the co-op will help document current-state processes gather baseline data and assess the potential value and feasibility of opportunities in the teams project intake backlog. This is a hands-on opportunity for someone interested in working at the intersection of finance accounting business process engineering data AI and automation.

Your responsibilities will include:

• Support initial assessments of automation analytics AI-enabled and other process improvement opportunities.

• Document current-state workflows pain points business rules controls exceptions dependencies and desired outcomes.

• Gather and validate process information such as transaction volume frequency cycle time manual effort error and rework rates data inputs and outputs system interfaces process complexity and potential time or cost savings.

• Develop process maps intake scorecards assessment summaries preliminary requirements and benefit estimates.

• Review the project intake backlog and help evaluate opportunities based on business value technical feasibility complexity risk dependencies and resource requirements.

• Develop evidence-based recommendations to support project prioritization and selection decisions.

• Analyze available process and operational data to validate assumptions and help measure expected or realized project outcomes.

• Identify opportunities to simplify standardize automate or enhance processes using workflow tools robotic process automation data solutions or AI.

• Translate business needs into clear requirements for business and technical team members.

• For appropriately scoped projects support or co-own requirements solution design development or configuration testing user acceptance testing deployment and early production support.

• Assist with test-case development defect tracking stakeholder demonstrations training materials and solution documentation.

• Follow applicable data privacy information security financial control and solution-development standards.

• Communicate findings recommendations project status and technical concepts clearly to both business and technical audiences.

Required qualifications:

• Currently pursuing a bachelors or masters degree in Finance Accounting Business/ Business Analytics Information Systems or Data Analytics with the graduation date of December 2027 or May 2028.

• Proficiency in Microsoft Excel (i.e. working with structured data and using tools such as Microsoft Excel to organize analyze and interpret information).

• Be eligible to work in the U.S. without company sponsorship now or in the future for employment-based work authorization.

• Must have reliable transportation to and from 300 Boston Scientific Way Marlborough MA 01752.

• Must be available to start on Jan. 11 2027 and commit to a full minimum six-month co-op program.

Preferred qualifications:

• Experience or coursework in finance accounting business analysis process improvement or automation.

• Familiarity with automation data analysis or programming tools such as Power Automate Power BI SQL Excel or Python.

• Understanding of AI ERP systems Agile methodologies or technical solution development.

• Strong analytical problem-solving communication and organizational skills.

• Ability to collaborate across teams manage priorities and learn new technologies.