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 Referenced Salary Location Toronto, Ontario Working Arrangement ハイブリッド勤務 Salary range is expected to be between $75,880.00 CAD - $140,920.00 CAD マニュライフとジョン・ハンコックについて マニュライフ・ファイナンシャル・コーポレーションは、「あなたの未来に、わかりやすさを」を提供する、国際的な大手金融サービスプロバイダーです。当社について詳しくは マニュライフは機会均等を是とする雇用主です マニュライフ/ジョン・ハンコックでは、多様性を受け入れます。私たちは、サービス提供先であるお客さまと同様に、多様な人材を引きつけ、育成し、定着させ、文化や個人の力を受け入れる包括的な職場環境を促進するよう努めています。当社は公正な採用、定着、昇進、報酬に努めています。当社のすべての慣行およびプログラムは、人種、祖先、出身地、肌の色、民族的出自、市民権、宗教または宗教的信念、信条、性別（妊娠および妊娠関連の状態を含む）、性的指向、遺伝的特徴、退役軍人としての地位、性自認、性に関する表明、年齢、婚姻状況、家族状況、障害、または適用法で保護されるその他の要因に対する一切の差別を行うことなく管理されます。 雇用への平等なアクセスを提供するために、障壁を取り除くことが当社の優先事項です。人事担当者は、応募者が応募プロセス中に合理的配慮を要求する場合に協力します。配慮要求のプロセス中に共有されるすべての情報は、適用される法律およびマニュライフ/ジョン・ハンコックのポリシーに準拠した方法で保存および使用されます。申請プロセスにおいて合理的配慮を要求するには までご連絡をお願いします。 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 for more information about U.S.-specific paid time off provisions. #J-18808-Ljbffr