Please note there are specific application instructions required to be considered for this role
At Manulife John Hancock, we believe in investing in the future – starting with you. Our Co-op/Intern Program is your launchpad to success, offering the support, structure, and exciting opportunities you need to thrive and make your mark.
You will immerse yourself in a dynamic environment focused on leveraging data to drive business insights and decision-making. You will be part of our Advanced Analytics teams, potentially working on projects that center around AI, Machine Learning, and extensive data analysis. Your role will be crucial in collaborating with business stakeholders to brainstorm and ideate innovative solutions, build machine learning applications, and analyze their results to extract actionable insights.
Our co-op program offers more than just experience; you’ll join a vibrant community, participate in engaging events, receive competitive compensation with exam study support, benefit from personalized mentorship, and access into Canada’s largest actuarial network.

REQUIRED QUALIFICATIONS:

• Currently pursuing a bachelor’s degree in Computer Science , Mathematics, Statistics, Business Administration, or a related field.
• Proficiency in Python coding, with experience in model training, monitoring, and evaluation.
• Experience with building and designing PowerBI dashboards or other data visualization tools.
• Familiarity with working on Azure, particularly AzureML
• Strong data analysis skills.
• Excellent business communication skills, with the ability to effectively convey insights and prepare impactful presentations.

PREFERRED QUALIFICATIONS:

• Demonstrated capability to work independently and take ownership of projects, embodying a “own it” mentality.
• Strong ability to summarize complex insights into clear and concise information.
• Effective project communication skills, ensuring clarity and alignment across all stakeholders.
• Experience with SQL and Databricks is a plus.

• Create and execute SQL queries for data extraction, transformation, and analysis .
• Perform data analysis to identify trends, anomalies, and areas of risk.
• Automate repetitive tasks to improve operational efficiency .
• Create and publish Power BI dashboards to visualize data insights .
• Collaborate with business stakeholders for ideation and brainstorming sessions .
• Develop and maintain training materials and documentation .
• Create visualizations and reports to communicate findings and recommendations to stakeholders.