Data Scientist

At Manulife, data scientists collaborate with engineers, IT, and experts to build analytical models and data architectures for solving business problems within a modern MLOps framework The Data Scientist is accountable for delivering business value with data by focusing on key corporate objectives, including portfolio optimization, expense efficiency, growth acceleration, digital customer leadership, fraud detection, and high-performance of the team. The Data Scientist is responsible for crafting, building, and deploying business interpretable and performant analytics solutions and applications. Collaborates with data and ML engineers to build scalable self-service tools for the analytics team. The Data Scientist leverages and shares their deep knowledge of, and experience with, a wide variety of data analytics practices and methods. The Data Scientist helps others to improve their knowledge and understanding of the use of data and technology. Position Responsibilities: Bridging between data assets, technology, and business expertise Collaborate shoulder-to-shoulder with business experts. Understand the business, the associated processes, systems & data environment. Research, explore, and experiment with data driven business ideas. Research & leverage published material to gain a comprehensive understanding of data science practices and methods. Crafting and building business interpretable and performant analytics solutions Develop and implement data analytics enabled solutions to improve and re‑imagine business process, to generate insights, and support strategy development. Work on problems of diverse scope and complexity requiring the in-depth analysis of data. Quickly develop enough business insight to connect data sources across multiple diverse and complex systems. Generate relevant, actionable insights based on iterative data analysis, translating data‑driven output into business language, and making appropriate recommendations to business partners. Work closely with business teams and data science engineers to collaboratively build and deliver rich data content for analysis. Deploy rich data and analytics content in business applications. Understand how the analysis of data impacts a broader business strategy, including the core drivers of business value. Prepare cases on the benefits of the analytics work. Elevate data and analytics skills in the business Help business partners better understand the use of data, drawing on a detailed understanding of data analytics and predictive modeling. Identify and guide natural data champions to improve the profitable use of data. Learn salient business concepts from data champions and enable them to creatively use data assets. Required Qualifications: Masters or equivalent experience in a quantitative field (Computer Science, Mathematics, Physics, Machine Learning, AI, Statistics, or related field) Knowledge and expertise with SQL with Oracle, MySQL, and Relational Databases Skilled with Python or similar languages 2+ years of experience working in data science in a consumer product company collaborating with Machine Learning Scientists, Data Scientists, Research Scientists, Applied Scientists, or similar roles. Can relax this requirement for PhD or equivalent experience. Preferred Qualifications: Experience in a quantitative field (such as Computer Science, Mathematics, Physics, Machine Learning, Bioinformatics AI, Statistics, engineering, or equivalent) Practical experience in several of the following areas: machine learning, NLP, statistics, experimental design, deep learning, recommendation systems Knowledge and experience in network and graph based analytics techniques including graph databases Functional knowledge of Azure Cloud Platform such as Azure ML and Data Factory Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives Outstanding verbal and written communication skills, ability to convey detailed mathematical concepts and considerations to non-experts Passionate about working in a diverse group and contributing to an inclusive culture 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 關於宏利和恒康 宏利金融公司是一家業界領先的國際金融服務商，致力於幫助人們實現「輕鬆投資理財，樂享豐盛人生」。若要進一步了解我們，請瀏覽 https://www.manulifeim.com/institutional/tw/en。 宏利是平等機會僱主 在宏利／恒康，我們擁抱多元。我們致力於吸引、培養及挽留和所服務客戶同樣多元的員工，並從而營造包容的工作環境，接納文化和個體差異。我們矢志維持公平的招聘、挽留、晉升及薪酬制度，我們管理的所有實踐及項目不會因種族、血統、原籍地、膚色、族裔、國籍、宗教或宗教信仰、信仰、性別（包括懷孕及其相關情況）、性取向、遺傳特徵、退伍軍人性別表達、年齡、婚姻狀況、家庭狀況、殘疾或受適用法律保護的任何其他因素而區別對待。 我們的首要任務是消除障礙，為員工提供平等就業機會。人力資源部代表將盡力為應徵過程中提出要求的申請人提供合理協助。申請人要求提供協助所分享的信息將會按照適用法律及宏利／恒康政策儲存及使用。應徵過程中如需協助，請聯絡 recruitment@manulife.com。 Referenced Salary Location Toronto, Ontario Working Arrangement 混合式 Salary range is expected to be between $94,430.00 CAD - $144,430.00 CAD If you are applying for this role outside of the primary location, please contact recruitment@manulife.com for the salary range for your location. The actual 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. 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 recruitment@manulife.com for more information about U.S.-specific paid time off provisions. #J-18808-Ljbffr