About the role#
The Machine Learning Co-Op will contribute to the technical development of predictive analytics products. You will work within an interdisciplinary team to design, build, and operate solutions that help customers leverage intelligent water technologies to protect environmental and human health. This role involves influencing critical, real-world decisions through data-driven engineering.
What you'll do#
- Contribute to the technical development of predictive analytics products.
- Collaborate with engineers, data scientists, and business leaders.
- Design, build, and operate predictive analytics software.
- Support customers in leveraging intelligent water technologies.
What you'll need#
- Current enrollment in an accredited post-secondary institution studying Computer Science, Computer Engineering, or Data Science.
- Programming experience with at least one object-oriented language.
- A keen interest in learning about AI, machine learning, and software technology.
- Ability to thrive while using data to solve challenging technical problems.
- Excellent English communication skills, both verbal and written.
Location & details#
- Location: London, Ontario, Canada.
- Modality: Hybrid.
- Employment Type: Full-time, paid internship.
- Term: Rolling.
How to get in at Hach
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Securing an internship at Hach requires staying ahead of the applicant pool. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first. Early applicants get seen before the pile grows, which is a significant advantage for competitive positions. You should also focus on building professional connections early in the process. Intern Insider surfaces the recruiters behind the company's roles so you can reach out directly to ask about the role or a referral. This direct approach materially improves response rates compared to standard online submissions.



