Intern Data Scientist

achu health Published: June 7, 2019
Toronto, Ontario
Internship Type
Salary range
Hours per week
Start Date
End Date


achu health is a novel and patent-pending technology that weds the predictive and analytical power of artificial intelligence (”AI”) with the future of personalized and preventative medicine. Combining machine learning and pattern recognition, achu health discovers what health and environmental patterns make you sick so you can make the proper lifestyle adjustments to avoid an oncoming illness

Duties and responsibilities

All aspects of building data science products are familiar to you: wrangling with messy or missing data, feature engineering, prototyping statistical/machine learning models, and coding up an appropriate solution that’s fit for production. You are driven by the thought of solving real-world business problems and a practical mindset using the more appropriate technique for the problem, whether that be a simple linear regression or a LSTM.

You’re a quick learner able to adapt to a myriad of challenges that come up in a data science project whether that be digging into a dataset to perform feature engineering, zooming into details of Scikit-learn algorithm implementation, or designing an experiment to test the efficacy of a new collaborative filtering algorithm. You’re fluent in Python, have run more SQL queries than you would like to admit, and have hands-on experience with big data technologies such as Spark and Hadoop.

As an effective communicator, you’ll collaborate with other like minded individuals to come up with creative solutions to our health data science problems interfacing across all departments and teams. Your primary focus is on providing meaningful impact to our clients, which requires asking the right questions, distilling the problem and coming up with creative solutions.

Knowledge and skills

  • Bachelors of  Science degree or equivalent in Health, Engineering, Mathematics or related field
  • Experience managing, growing and developing a technical team
  • Proven track record of leading a team of data scientists and/or engineers to ship large, complex machine learning systems/applications
  • Strong familiarity with various machine learning & statistical techniques
  • Ability to communicate clearly with technical and non-technical stakeholders at all levels
  • Proficiency in Python and common data manipulation and ML libraries
  • Experience working with relational data via SQL; experience with big data technologies such as Spark and Hadoop is a plus

Education required

  • Bachelors of  Science degree or equivalent in Health, Engineering, Mathematics or related field

Certification required

Certifications in Big Data and Machine Learning are necessary to be viewed as a potential candidate for this position

Eligibility criteria

Career-Launcher Internships are funded by the Government of Canada under the Youth Employment and Skills Strategy. For program criteria information visit their website.


Qualified interns are:

  • Post-secondary graduates – this is not a requirement for residents of the Yukon, Northwest Territories and Nunavut applying for internships in those territories
  • Underemployed (employed below their level of education or work part-time)
  • Between 15 and 30 years of age at the start of the internship
  • Canadian citizens, permanent residents or persons granted refugee status in Canada*
  • Legally allowed to work according to the relevant provincial and Canadian legislation and regulations
  • Not receiving employment insurance during their internship
  • Available to work for at least six months
  • Not previous participants of a federal youth employment program
  • Not employees of the hiring employer prior to the start of their internship (does not apply to previous coop students or student interns)

*Refugee protection must be conferred under the Immigration and Refugee Protection Act. Persons awaiting refugee status, as well as those who hold a temporary visitor visa, student visa or work visa, are ineligible to participate in a Youth Employment and Skills Strategy initiative.

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