Data Science Intern/Co-op – Summer 2025

Posted:
12/18/2024, 4:42:03 AM

Location(s):
Toronto, Ontario, Canada ⋅ Ontario, Canada

Experience Level(s):
Internship

Field(s):
AI & Machine Learning ⋅ Data & Analytics

This co-op/intern will work on a variety of analytics projects with different use cases, contributing to the team of data scientists. The scope of the projects includes data collection, preprocessing, analysis, and model development. You will also contribute to creating actionable insights and project deliverables that benefit our team and the organization. Through these tasks, the co-op/intern will gain hands-on experience in applying advanced analytical methods to real-world problems. 

 

Position Responsibilities:  

  • Key tasks involve exploring datasets, developing machine learning models using traditional ML techniques and generative AI methodologies, and validating and tuning these models to ensure accuracy and robustness. 

  • Specifically, the intern will use Python for coding and leverage Azure cloud services for data storage, processing, and model deployment. 

  • Deliver well-documented machine learning models, comprehensive data analysis reports, and organized code repositories. 

  • Prepare and present findings to the team and stakeholders. 

  • Contribute to improving existing processes and tools. 

  • Develop enhanced analytical skills, proficiency in traditional ML and GenAI methodologies. 

  • Improve collaboration and communication skills by working closely with our data science team.

 

Required Qualifications: 

  • Currently pursuing a master's degree in Statistics, Computer Science, Data Science, Math, or related fields. 

  • Excellent coding skills using Python. 

  • Familiarity with tools like Jupyter Notebooks, pandas, scikit-learn, TensorFlow, Databricks, and Azure Machine Learning Studio. 

  • Ability to demonstrate skills effectively in real-world projects. 

  • Problem-solving abilities, teamwork, communication skills, and project management experience, all essential for a successful career in data science and machine learning. 

 

Application Instructions: 

  • Submit your resume, cover letter, academic transcript, and work term evaluation (if any) in one PDF file. 

  • Note: Applications are reviewed on a rolling basis, and successful candidates will be contacted by the end of January or February. 

 

When you join our team: 

  • We’ll empower you to learn and grow the career you want. 

  • We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words. 

  • As part of our global team, we’ll support you in shaping the future you want to see. 

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact [email protected].

Working Arrangement

Hybrid

Salary & Benefits

Salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. Please contact [email protected] for additional information.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact [email protected] for more information about U.S.-specific paid time off provisions.