Associate Data Scientist - Toronto, Canada - Manulife

Manulife
Manulife
Verified Company
Toronto, Canada

2 weeks ago

Sophia Lee

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Sophia Lee

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Description

We are a leading financial services provider committed to making decisions easier and lives better for our customers and colleagues around the world.

From our environmental initiatives to our community investments, we lead with values throughout our business.

To help us stand out, we help you step up, because when colleagues are healthy, respected and meaningfully challenged, we all thrive.

Discover how you can grow your career, make impact and drive real change with our Winning Team today.


Working Arrangement
Hybrid


The Opportunity
As an Associate Data Scientist, you will play a key role in leading transformational projects in our Canadian business.

Your broad knowledge of predictive analytics techniques will impact the lives of millions of Canadians, support Canadian businesses with the retention of employees, while leading costs, and enable Manulife employees with innovative solutions that deliver outstanding customer experiences.


Responsibilities

  • Develops and implements analytics enabled solutions to improve business process, to generate insights, support business goals and strategy development
  • Works on problems of diverse scope / complexity where analysis of situations or data requires an indepth evaluation of a variety of factors
  • Strong ability to generate relevant, actionable insights based on iterative data analysis, translate datadriven output into business language, and to make appropriate recommendations to respective business partners 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.
  • Has some 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.
  • Engages in ongoing discussions and moves others towards a position, appealing to their needs and interests to gain acceptance Is able to display empathy with the business and anticipate their push back and areas of concern
  • Maintains a strong internal network, begins to network with more senior partners within the organization.
  • Contributes to solutions outside immediate area of expertise. Ensures all voices are heard. Actively seeks out coaching and incorporates feedback into their work. 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 case on the benefits of their assigned work. Incorporates lessons learned throughout the business into their work.

What motivates you?

  • You obsess about customers, listen, engage and act for their benefit.
  • You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.
  • You thrive in teams and enjoy getting things done together.
  • You take ownership and build solutions, focusing on what matters.
  • You do what is right, work with integrity and speak up. You share your humanity, helping us build a diverse and inclusive work environment for everyone.

What we are looking for

  • Advanced degree in Statistics, Math, Computer Science, or Engineering; or Bachelor's degree with equivalent technical experience
  • Minimum of 2 years of applicable experience Advanced knowledge of programming languages and concepts (e.g. Python, AzureML, Databricks, SQL)
  • Fundamental skills 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

What can we offer you?

  • A competitive salary and benefits packages.
  • A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills.
  • A focus on growing your career path with us.
  • Flexible work policies and strong worklife balance. Professional development and leadership opportunities.

Our commitment to you
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Values-first culture:We lead with our Values every day and bring them to life together.
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Boundless opportunity:We create opportunities to learn and grow at every stage of your career.
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Continuous innovation: We invite you to help redefine the future of financial services.
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Delivering the promise of Diversity, Equity and Inclusion:We foster an inclusive workplace where everyone thrives.
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Championing Corporate Citizenship:We build a business that benefits all partners and has a positive social and environmental impact.

LI-Hybrid

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