Data Science Intern (Student Position) - Temporary Full-Time

We are seeking a talented Data Science Intern with a background in AI engineering, machine-learning, data mining, and information retrieval to join our team and help design, prototype, and build next-generation analytics, machine learning, and AI services.

About Canada Life

Canada Life is among the top three insurance carriers in Canada and part of a strong, mature global financial company. Our ongoing transformation is revolutionizing the way we work and serve our customers. As a member of the core Group Customer technology team, you'll have the opportunity to leverage technology, data, and analytics to transform our business. You'll enjoy support from senior leadership, a great culture, and collaboration with a multi-functional team of Data Scientists, Data Analysts, Engineers, Business Analysts, Architects, and Product Owners.

What You’ll Do

• Develop predictive analytics to guide business direction and decision-making.
• Deploy and implement AI solutions that provide new business value using advanced techniques.
• Translate customer data into actionable insights to drive business performance.
• Provide expertise in data science, AI, machine learning, and software engineering.
• Participate in the development and upkeep of AI systems and applications using Microsoft Azure.
• Collaborate with cross-functional teams to solve complex problems.
• Stay updated on emerging AI and machine learning trends, especially within the Azure ecosystem.
• Improve our AI systems’ efficiency and performance through advanced algorithms.
• Analyze large datasets to extract meaningful insights utilizing Azure and Databricks.
• Ensure accuracy and reliability of AI models through rigorous training, validation, and testing.
• Securely implement Azure service endpoints, ad groups, and accounts.
• Contribute to best practices for AI engineering through code reviews.

What You Bring

• Pursuing a Bachelor/Master's degree in Data Science, Computer Science, Statistics, Applied Math, or a related discipline.
• Proficiency in Python and SQL; knowledge of additional programming languages is beneficial.
• Experience in various AI applications like NLP, marketing, image recognition, etc.
• Familiarity with large data sets, simulation/optimization, and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.).
• Hands-on experience with Microsoft Azure, including Azure Machine Learning and Azure Cognitive Services.
• Understanding of secure implementation of service endpoints, ad groups, and accounts.
• Experience with agile cultures or startup environments.
• Professional attitude and team-oriented service approach.
• Strong communication skills and a passion for working in cross-functional teams.
• Problem-solving skills in data governance, management, and architecture.
• Ability to build trust and rapport in a dynamic, fast-paced environment.

Compensation

The base salary for this position ranges from $39,200 to $65,300 annually. This represents the base salary only and does not include other variable compensation components, such as annual bonuses or commissions. If you are selected to proceed in the recruitment process, your recruiter will provide more details about our total rewards program.

For Student Opportunities Only

The base salary for student opportunities depends on the number of work terms you have completed and other factors related to your program.

Application Information

Career opportunities will remain open for a minimum of 5 business days from the posting date, with varying closing dates based on search activity. Applications will be reviewed on a rolling basis.

Join Canada Life - Apply Today!

At Canada Life, your unique background, perspectives, and talents are valued. You'll be part of a diverse and inclusive workplace where your career and well-being are supported. Together, we'll deliver on our shared purpose to improve the well-being of Canadians.

Canada Life serves the financial security needs of over 13 million people across Canada, with additional operations in Europe and the United States. As part of the Power Financial Corporation group, we offer a broad portfolio of solutions for individuals, families, and organizations.

We are committed to providing an inclusive, accessible environment where all employees and customers feel valued, respected, and supported. We strive to reflect the diversity of the