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.

Responsibilities:

• Develops and implements analytics enabled solutions to improve business process, to generate insights, support business goals and strategy development
• Owns and delivers projects of diverse scope.
• Oversees the work of more junior data scientists.
• Works on problems of diverse scope / complexity where analysis of situations or data requires an in-depth evaluation of a variety of factors
• Strong 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
• Independently provides analysis on datasets of significant complexity.
• Quickly able to develop enough business insight to connect data sources across multiple diverse and complicated systems.
• Recommends implementable solutions to (or in collaboration with) business partners.
• Considers change management in all aspects of their work.
• Supports more junior data scientists with Change Management.
• Has intimate understanding of the business value chain and customer lifecycle for a line of business or more.
• Has fundamental understanding of the business as a whole, and has started to build a network of people for ideation, info sharing, knowledge.
• Understands the corporate climate and culture Strong knowledge of the business
• Engages in ongoing discussions and moves others towards a position, appealing to their needs and interests to gain acceptance
• Maintains a strong internal network, begins to network with more senior stakeholders within the organization.
• Begins to develop an external network and develop their own brand, particular in their own practice area.
• Actively involved in recruitment of data science professionals (campus etc.0
• Shares ideas with others, leads brainstorming sessions.
• Contributes to solutions outside immediate area of expertise.
• Actively seeks out coaching and incorporates feedback into their work.
• Provides guidance and mentorship to more junior data scientists.
• Promotes best practices within the team.
• Shares technical expertise with others.
• 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.
• Able to prepare a business case on the benefits of their assigned work.
• Incorporates lessons learned throughout the business into their work.
• Engages with global counterparts to share learnings.

Strong 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 responsibilities
• identifying required tasks, system / data flow and contingency
• specifying check-and-balance throughout the process
• establishing rigorous tracking and closed-loop learning
• implement such process in a scalable way

Requirements:

• Advanced degree in Statistics, Math, Computer Science, or Engineering; or Bachelor’s degree with equivalent technical experience
• Minimum of 5 years of applicable experience Advanced knowledge of programming languages and concepts ( SAS, SPSS, R (different modules) or Python)
• Expert in basic and advanced statistical tests, distributions, maximum likelihood estimators, statistical modelling techniques (regression, cluster / factor / principle components, decision tree, survival analysis, etc.
• Advanced knowledge of different techniques and knowledge of machine learning algorithms.
• Basic knowledge of AI toolkits.
• Expert in data visualization tools such as Tableau, QlikView, open source data visualization libraries - ggplot and d3.js
• 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:

• 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.

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.

Working Arrangement

Hybrid