The Senior Machine Learning Engineer will leverage a structured, systematic approach to analyze and extract insights from massive datasets, both structured and unstructured. This role requires strong expertise in relational database models, including data vaulting techniques and rules tables, as well as advanced proficiency in distributed computing frameworks such as Hadoop and NoSQL. A solid foundation in machine learning algorithms and familiarity with AI toolkits is essential, along with knowledge of statistical methods and modeling techniques such as regression, clustering, principal component analysis, decision trees, and survival analysis. The ideal candidate combines technical depth with analytical rigor to develop scalable solutions that uncover hidden patterns and drive data-driven decision-making.
Position Responsibilities:
Support 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 scope
Own data pipeline and productionizing
Identify 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 team
Create appropriate tables and DBs
Work 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 factors
Ability 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 stakeholders
Strong ability to extract, transform and stage data for consumption by the data scientist leveraging data querying tools
Provides 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 partners
Works 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 value
Required Qualifications:
Minimum of 4 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, PowerBI
Advanced knowledge of data transformation to support BI Reporting Advanced knowledge of common database querying languages such as SQL.
Minimum Bachelor’s degree in Math, Computer Science, or Engineering; or Bachelor’s degree with equivalent technical experience
Preferred Qualifications:
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 data
Basic 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 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.
Referenced Salary Location
Halifax, Nova ScotiaWorking Arrangement
Salary range is expected to be between
$129,400.00 CAD - $179,400.00 CADIf 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.