Senior Data Scientist

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 DESCRIPTION

Responsibilities:

Develops and implements analytics enabled solutions to improve business process to generate insights support business goals and strategy development
Owns and delivers complete projects of moderate scope and manages assigned tasks on more complex projects.
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
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 results of cases of moderate complexity to business partners and recommends solutions to more senior data scientists .
Works closely with subject matter experts to understand data sources and business processes.
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.
Understands company culture cooperation & information sharing within the company
Establishes an internal network and leverages the network of more senior data scientists.
Develop an external network.
Actively seeks out coaching and incorporates feedback into their work.
Provides guidance and mentorship to more junior data scientists.
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

Some ability to construct systematic process to implement analytics insights and solutions this includes (but not limited to):
1) designing a process with multiple relevant parties with clear specifications of roles and responsibilities
2) identifying required tasks system / data flow and contingency
3) specifying check-and-balance throughout the process
4) establishing rigorous tracking and closed-loop learning
5) implement such process in a scalable way

Requirements:

Advanced degree in Statistics Math Computer Science or Engineering; or Bachelors degree with equivalent technical experience.
Mnimum of 2 years of applicable experience
Advanced knowledge of programming languages and concepts ( SAS SPSS R (different modules) or Python)
Familiarity and working knowledge of basic and advanced statistical tests distributions maximum likelihood estimators statistical modelling techniques (regression cluster / factor / principle components decision tree survival analysis etc.)
Working knowledge of different techniques and knowledge of machine learning algorithms.
Basic knowledge of AI toolkits.
Advanced knowledge of data visualization tools such as Tableau QlikView open source data visualization libraries - ggplot and d3.
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).

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.

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 .