Summer Intern/Co-op 2026 – Data Science

Join Manulife’s Group Functions AI team as a Summer 2026 (Masters-preferred) intern. You’ll work on exciting problems across analytics, machine learning, and generative AI that support Actuarial, Finance, Treasury, Risk, Compliance, and HR-examples include IFRS-17 analytics, liquidity and cash-forecasting, risk scenario testing, compliance/controls automation, and workforce insights. Your work will contribute to Manulife’s mission to make decisions easier and lives better by turning data into governed, useful solutions for our partners. Expect structured mentoring, modern tooling, and a high-learning experience designed to identify future full-time talent.

Position Responsibilities:

• Partner with Actuarial/Finance/Treasury/Risk/Compliance/HR to frame problems, success metrics, and deliverables.

• Explore and prepare data; engineer features and baselines; ensure data quality, lineage, and privacy.

• Build and evaluate ML models (GLM/GBM/XGBoost/NNs/time series) with sound experiment design and documentation.

• Prototype GenAI solutions (prompting, retrieval/RAG, evaluation) with a focus on safety, usefulness, and governance.

• Develop reproducible code and pipelines in Python/SQL (Spark/Databricks or equivalent) using Git and notebooks.

• Create clear visuals and narratives (dashboards, notebooks, concise write-ups) for mixed technical/non-technical audiences.

• Follow model governance and responsible-AI practices; present results, incorporate feedback, and iterate quickly.

Required Qualifications:

• Currently enrolled in a Master’s program (preferred) in Data/Computer Science, Statistics, Applied Math, Actuarial Science, Engineering, Finance/Economics, or related field; returning to studies after the work term.

• Hands-on experience from courses/research/internships building analytics or ML solutions.

• Proficiency in Python and SQL; familiarity with pandas/scikit-learn (and/or XGBoost) and solid EDA/statistics skills.

• Ability to write clean, reproducible code with Git; strong communication and collaboration skills.

• Work authorization for the hiring location for the duration of the co-op.

Preferred Qualifications:

• Experience with Spark/Databricks, Azure cloud data platforms, and experiment tracking (e.g., MLflow).

• Exposure to GenAI/LLMs (RAG, prompt engineering, eval harnesses) and responsible-AI considerations.

• Domain interest/experience in one or more areas: IFRS-17/actuarial analytics, ALM/treasury, risk and stress testing, compliance and control testing, or HR/workforce analytics.

• Data visualization with Power BI or similar; confident presenting to stakeholders.

• (Nice to have) Actuarial exam progress (SOA/CAS) or finance credentials coursework (e.g., CFA), as applicable.

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.

#LI-Hybrid

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 recruitment@manulife.com.

Working Arrangement