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Intern Associate Software Developer

Kinaxis Inc. -
Ottawa, ON

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Job details

Full-time | Internship / Co-op
$27.04–$39.66 an hour
14 hours ago

Qualifications

Computer science
Computer Science
Software Engineering
Relational databases
C#
NumPy
SQL
Pandas
Analysis skills
C++
Machine learning
Scripting
Model evaluation
Python

Full job description

About Kinaxis:

About Kinaxis

Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might just be the place for you!

In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, 6 global office and a best-in-class HQ in Ottawa, Canada. As winners of several Top Employer awards globally, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.

Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains, and supporting the people who manage them. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. We are trusted by renowned global brands to provide the agility and predictability needed to navigate today’s volatility and disruption. With more than 40,000 users in over 100 countries, we are expanding our team as we continue to innovate and revolutionize how we support our customers.

About the team:

About the team

As a member of our Core Algorithms team, you will focus your skills on designing and developing new techniques for testing the analytics engine of our Maestro platform.

About the role:

Location

You must be in the Ottawa, Canada office at least three days a week.

Term Duration

This is a full-time, 4-month position, starting September 2026.

Co-op / Intern Eligibility

This position is open to co-ops and interns. To be eligible, you must be currently enrolled in full-time education or be a recent/upcoming graduate within 12 months of the placement end date.

Compensation range

$27.04 - $39.66hourly rate. The final offer within this range will reflect the candidate’s skills, year of education, and experience.

Vacancy Status

This is an existing job vacancy.

What you will do

Collaborate with the team to verify and validate heuristic algorithms to ensure they meet quality and performance benchmarks.
Design and develop tools to process and analyze large datasets.
Contribute to creating systems that help improve the quality and reliability of our algorithms.

What we are looking for

Completion of at least 2nd year of studies in Computer Science / Software Engineering
Experience in data science and Machine Learning
A love of data and algorithms, and the desire to apply them in the real world
Programming and scripting techniques/languages experience (C++, C#, Python)
Ability to ‘think outside of the box’ in a fast-paced environment
Exceptionally strong analytical skills

Things that would definitely help

Knowledge and experience in relational database design and usage (SQL, complex joins)
Machine Learning Techniques: Familiarity with supervised and unsupervised learning methods, model evaluation, and optimization.
Python Libraries: Hands-on experience with tools like Pandas, NumPy and scikit-learn.
Visualization Skills: Ability to create clear and insightful visualizations to present data patterns and results effectively.

We’re accepting applications now through end of day on Friday, June 26, 2026. Please note that we may begin reviewing applications before the posting closes, so early submission is encouraged.

#Coop, #Internship, #Intern, #LI-EN1

Why join Kinaxis?:

Work With Impact: Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day, when we see store shelves stocked, when medications are available for our loved ones, and so much more.

Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Lockheed Martin, Unilever, P&G, ExxonMobil, Cisco and more.

Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to a long-term net-zero operations strategy. We are involved in our communities and support causes where we can make the most impact.

People matter at Kinaxis and here are some of the perks and benefits we offer, which may vary by location and employee:

Flexible vacation and Kinaxis Days (company-wide days off)
Flexible work options
Physical and mental well-being programs
Regularly scheduled virtual fitness classes
Mentorship programs, training, and career development
Recognition programs and referral rewards
Hackathons

For more information, visit the Kinaxis website at www.kinaxis.com or the company’s blog at http://blog.kinaxis.com.

Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at [email protected]. This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.

Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description to identify candidates whose education, experience, and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.

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