Machine Learning Engineer

Manulife is a leading international financial services provider, helping people make decisions easier and lives better. Help shape the future you want to see — and discover that better can take you anywhere you want to go.Job DescriptionPeople Leader Role: NoResponsibilitiesSupport data operations lifecycle of AA projects - Input into the approach and Owns and manages assigned tasks.Develops and implements ad-hoc and business analytics and reporting on projects of moderate scopeOwn data pipeline and productionizingIdentify and gain access to sources of data with limited assistance from senior team members.Work with internal and external team members to understand the data; present findings to the team.Document the acquired data via standard team templates; present findings to the teamCreate appropriate tables and DBsWork with internal and external team members to code DS's solution in production system, coach junior team members.Acquire data to measure effectiveness of the solution, present findings to internal and external peers, with guidance from senior team members.Works on problems of moderate scope / complexity where analysis of situations or data requires a review of a variety of factorsAbility to generate relevant, actionable insights based on iterative data analysis, translate data-driven output into business language, and to make appropriate recommendations to respective business stakeholdersStrong ability to extract, transform and stage data for consumption by the data scientist leveraging data querying toolsProvides analysis on datasets of significant complexity.Quickly able to develop enough business insight to connect data sources across multiple diverse and complicated systems.Communicates business analytics of moderate complexity to more senior team members and junior business partnersWorks closely with subject matter experts to understand data sources.Has intimate understanding of the business value chain and customer lifecycle for the projects they are supporting.Has fundamental understanding of the business as a whole.Curious and asks the right kinds of questions of peers and customers to gain knowledge.Establishes an internal network and leverages the network of more senior data analysts.Provides guidance and mentorship to more junior team members Owns their career development.Takes advantage of available resources to advance their technical and business skills.Understands how their project supports broader business strategy, including the core drivers of business valueSome ability to construct systematic process to implement analytics insights and solutions, this includes (but not limited to):designing a process with multiple relevant parties with clear specifications of roles and responsibilitiesidentifying required tasks, system / data flow and contingencyspecifying check-and-balance throughout the processestablishing rigorous tracking and closed-loop learningimplement such process in a scalable wayRequirementsMinimum Bachelor’s degree in Math, Computer Science, or Engineering; or Bachelor’s degree with equivalent technical experienceMinimum of 2 years of applicable experience Advanced knowledge of programming languages and concepts (g. Java, Sequel, C, SAS, SPSS, R (different modules) or Python)Advanced knowledge of data visualization tools such as Tableau, QlikView, PowerBIAdvanced knowledge of data transformation to support BI Reporting Advanced knowledge of common database querying languages such as SQL.Capability of applying a systematic, structured approach to explore / navigate / mine massive amount of data, structured or un-structured, to uncover hidden patterns / insights.Strong working knowledge of relational database models ( data vaulting techniques, rules tables).Advanced knowledge in distributed computing - Hadoop/ NoSQL/unstructured dataBasic understanding of different techniques and knowledge of machine learning algorithms.Basic knowledge of AI toolkits.Familiarity with basic statistical tests, distributions, maximum likelihood estimators, statistical modelling techniques (regression, cluster / factor / principle components, decision tree, survival analysis, etc.)When You Join Our TeamWe’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.About Manulife And John HancockManulife 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 EmployerAt 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 ArrangementHybrid