Senior Machine Learning Engineer

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 DSs 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 Bachelors degree in Math Computer Science or Engineering; or Bachelors 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 :

Well empower you to learn and grow the career you want .

Well recognize and support you in a flexible environment where well-being and inclusion are more than just words .

As part of our global team well 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 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 .

Referenced Salary Location

Halifax Nova Scotia

Working Arrangement

Hybrid

Salary range is expected to be between

$129400.00 CAD - $179400.00 CAD

If you are applying for this role outside of the primary location please contact 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 for more information about U.S.-specific paid time off provisions.

Required Experience :

Senior IC

Key Skills

Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting

Employment Type : Full-Time

Experience : years

Vacancy : 1