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. **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. \#LI-Hybrid **Acerca de Manulife y John Hancock** Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite http://www.manulife.com . **Manulife es un empleador que ofrece igualdad de oportunidades** En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente. Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a recruitment@manulife.com . **Semana de Trabajo Comprimida** Híbrido