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Added 14 mins ago
HD
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WorkSafeBC

Co-op Student, Actuarial (IT Focus)

Richmond, BC, Canada

Salary: $24.45/hour to $26.82/hour depending on academic program [RT1]Need to update · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: Salary: $24.45/hour to $26.82/hour depending on academic program [RT1]Need to update
Job type: Full-time
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

The Actuarial Services department of WorkSafeBC is looking for an Actuarial Co-op student with an IT focus to join our team to help us strive towards our vision.

The co-op student will assist the Actuarial Services department in a project of building an Actuarial system. The tasks would include, but are not limited to, gathering business requirements, understanding the data, writing Python codes to create machine learning models, and generating documentations.

This is an 8-month temporary opportunity starting in January 2027 with the possibility to extend to 12 months in total.

How you’ll make a difference: You’ll apply what you’ve learned in your post-secondary program to benefit workers and employers across B.C.

Where you’ll work

We serve the workers and employers across B.C., and we do that best when we're together. It's how we collaborate, learn from one another, and develop our people.

This role is currently designated as having a hybrid work arrangement and is based in our Richmond, BC office.

This is a unionized role and is subject to the provisions of the Collective Agreement between the Workers’ Compensation Board of BC and the Compensation Employees’ Union.

On Day 1 in this role, you will get a chance to meet your manager and get acquainted with your team. You will spend time setting up administrative and technological essentials, and completing onboarding tasks, including security and payroll setup.

During your first week you will engage in a comprehensive onboarding program designed to equip you for success. You will be partnering and meeting with your manager to discuss your goals and align them with the team’s vision. Additionally, you will learn how our department contributes to the overall business strategy and supports the organization’s mandate. You will also work through the onboarding program alongside your supervisor for added guidance and support.

This role is ideal for an individual who is eager to step beyond their comfort zone. We are looking for someone with a detective mindset, strong motivation, and a passion for innovation. The right candidate will possess analytical and critical thinking skills, enabling them to propose ideas that enhance various processes and initiatives, as well as to explore new approaches to work within the department.

Your Daily Responsibilities May Include

Identify and define problems, develop and describe research questions, and develop sound and novel approaches to problem solving and propose recommendations and business solutions.
Assist and document business requirements and communicate with internal technical teams.
Research industry used machine learning models.
Work directly with complex data and identify useful data or suggest potential data transformation (or feature engineering) useful for the modeling purpose.
Work closely with the project team to conceptualize, develop, and implement machine learning models using Python.
Work closely with the technology team on system requirements and designs
Evaluate the performance of the model against benchmarks.
Prepare clear and concise business documents and presentations, successfully translating complex and technical information into concepts the business representatives can understand and action.

We're Looking For Someone Who Can

Demonstrate strong SQL, Python and analytical skills
Communicate effectively, both in writing and verbally, with a variety of people
Problem-solve solutions and enjoys analyzing business questions to propose and implement solutions
Demonstrate tact and discretion when handling confidential data
Effectively collaborate and interact with a range of stakeholders
Demonstrate teamwork and organization skills, and is detail-oriented
Be curious, receptive to learning and willing to ask questions

Learn more: Hear from past co-op students on what it’s like to work here.

Your Background And Experience

Currently enrolled in a post-secondary institution studying in Computer Sciences, Actuarial, Statistics, or a related area.
Strong proficiency coding in Python.
Working knowledge in data engineering design and implementation including expertise in ETL languages (e.g. SQL, Python) and analytics data modelling
Knowledge of machine learning would be an asset.
Previous work experience in IT solution development and machine learning modeling would be an asset.

Important to know

Before we can finalize any offer of employment, you must:

Confirm you’re legally entitled to work in Canada
Confirm you’re a registered student at a post-secondary institution and is participating in a work integrated learning program
Consent to a criminal record check and successfully meet the criminal record check clearance

WorkSafeBC’s COVID-19 Employee Mandatory Vaccine Policy (the “Policy”) is suspended effective January 9, 2023, however we reserve the right to re-implement it in response to changes in the public health landscape, including public health orders. We are committed to the protection, health, and safety of our employees and our Communicable Disease Prevention Program and related protocols remain in effect.

Who are we?

At WorkSafeBC, we promote safe and healthy workplaces across British Columbia. We partner with workers and employers to save lives and prevent injury, disease, and disability. When work-related injuries and diseases occur, we provide compensation and support injured workers in their recovery, rehabilitation, and safe return to work. We’re honoured to serve the 2.49 million workers and 263,000 registered employers in our province.

What’s it like to work at WorkSafeBC?

It’s challenging, stimulating, and rewarding. Our positions offer diversity and opportunities for professional growth. Every day, the work we do impacts people and changes lives. What we do is important, and so are the people we do it for.

Our ability to make a difference relies on building a team with a rich variety of skills, knowledge, backgrounds, abilities, and experiences that reflects the diversity of the people we serve. We are committed to fostering a welcoming, inclusive, and supportive work culture where everyone can contribute as their best, authentic self.

Our Benefits

As a member of our team, you'll have access to services and benefits that help you get the most out of work - and life. Along with a competitive salary, your total compensation package includes:

4% in lieu of benefits
4% in lieu of vacation

Salary: $24.45/hour to $26.82/hour depending on academic program [RT1]Need to update

Learn more: Discover who we are.

Want to apply?

A cover letter, resume and transcript are required. Your cover letter should state your availability (eight or twelve months).
Submit all documents in one file (either Word or PDF files).
Applications are welcomed immediately, however must be received no later than 4:30 p.m. PST on the closing date.

We encourage all qualified applicants to apply. If you require an accommodation in the assessment process, please email Recruitment Testing Accommodation (SM) when you submit your application.

Apply About employer

More about this job

Responsibilities

Assist with building an actuarial system by gathering and documenting business requirements, researching machine learning approaches, and working with complex data. Develop and evaluate machine learning models in Python, collaborate with technical and project teams on system requirements, and communicate findings through clear business documents and presentations.

Requirements

Applicants must be enrolled in a post-secondary program in computer science, actuarial studies, statistics, or a related field and participate in a work-integrated learning program. Strong Python skills are required; working knowledge of SQL, data engineering, ETL, and analytics data modeling is expected, while machine learning knowledge and relevant development experience are assets.

Skills

Python
SQL
Machine Learning
Data Engineering
ETL
Data Modeling
Data Analysis
Analytical Thinking
Critical Thinking
Business Requirements Gathering
Problem-Solving
Communication
Stakeholder Collaboration
Technical Documentation
Model Evaluation
Feature Engineering

Benefits

4% In Lieu Of Benefits
4% In Lieu Of Vacation

Visa sponsorship

Not detected in the job text

Keywords

Actuarial Services
Actuarial System
Python
SQL
Machine Learning
Data Engineering
ETL
Analytics Data Modeling
Complex Data
Feature Engineering
Business Requirements
System Requirements
System Design
Model Performance Evaluation
Research Questions
Business Solutions
Technical Documentation
Business Presentations
Stakeholder Collaboration
Confidential Data
Insurance
Work-Integrated Learning
Computer Science
Actuarial Studies
Statistics

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