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Risk Data Scientist

CAN, Ontario, Waterloo, 500 King Street North

Actively hiring, first seen by us 1 day ago
Pay
CAD 94,430–144,430/year · BaseAnnual period assumed. Location-specific pay — pay source
Hybrid Base salary range is expected to be between $94,430.00 CAD - $144,430.00 CAD Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual base salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location. 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 hr@manulife.com for more information about U.S.-specific paid time off provisions.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Develop and implement analytics solutions to improve business processes

  • Own and deliver end-to-end analytics projects of moderate complexity

  • Analyze large, complex datasets and turn findings into business recommendations

  • Work with business stakeholders and SMEs to understand data sources and needs

From the employer’s posting
Develop and implement analytics-enabled solutions to improve business processes
Own and deliver end-to-end analytics projects of moderate complexity
Analyze large and complex datasets to generate actionable insights and translate findings into clear business recommendations
Collaborate closely with business stakeholders and subject matter experts to understand data sources, processes, and business needs

What you’ll bring

All qualifications

Core experience

  • 5+ years of applicable experience
  • Advanced Python and SQL programming
  • Strong knowledge of machine learning and AI algorithms
  • Experience designing and developing AI, NLP, and LLM powered solutions
  • Degree in Statistics, Math, Computer Science, Engineering, or related field, or a Bachelor's with equivalent technical…

Preferred experience

  • Experience applying statistical modeling and machine learning techniques (e.g., regression, clustering, decision trees, survival analysis)
  • Experience with data visualization tools such as Tableau, Qlik, or open-source libraries (e.g., ggplot, d3)
  • Familiarity with relational database models and large-scale data environments
  • Proficient in querying and analyzing both structured and unstructured data (SQL, NoSQL, JSON, MongoDB)  Experience designing or implementing scalable, end-to-end analytics processes with appropriate governance and tracking mechanisms
Qualification wording
Minimum of 5 years of applicable experience
advanced knowledge of programming languages and concepts (Python and SQL, SQL queries)
Strong knowledge of machine learning and AI algorithms
Experience in designing and developing AI, NLP, and LLM powered solutions
Degree in Statistics, Mathematics, Computer Science, Engineering, or a related field; or a Bachelor’s degree with equivalent technical experience
Experience applying statistical modeling and machine learning techniques (e.g., regression, clustering, decision trees, survival analysis)
Experience with data visualization tools such as Tableau, Qlik, or open-source libraries (e.g., ggplot, d3)
Familiarity with relational database models and large-scale data environments
Proficient in querying and analyzing both structured and unstructured data (SQL, NoSQL, JSON, MongoDB)  Experience designing or implementing scalable, end-to-end analytics processes with appropriate governance and tracking mechanisms
Education & alternatives
- Strong knowledge of machine learning and AI algorithms - Degree in Statistics, Mathematics, Computer Science, Engineering, or a related field; or a Bachelor’s degree with equivalent technical experience - Experience in designing and developing AI, NLP, and LLM powered solutions

About Manulife Financial

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.

In the employer’s words · Read in context

Apply at Manulife Financial

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 12, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 8 and day 60.

At Manulife Financial, jobs usually come down by about day 27.

From 11,797 similar postings that came down, and 179 of Manulife Financial’s. Coming down is not always a hire.

Manulife Financial is hiring

36 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down quickly
  • 8% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
  • AWS
  • Azure
  • GCP
  • MongoDB
  • NoSQL
  • Power BI
  • Tableau
  • Plotly
  • Qlik
Where the posting names them
Required Qualifications: - Minimum of 5 years of applicable experience with advanced knowledge of programming languages and concepts (Python and SQL, SQL queries)  Knowledge in data visualization tools such as PowerBI, plotly, R Shiny, etc. (or other equivalent data visualization tools) - Strong knowledge of machine learning and AI algorithms
- Familiarity with relational database models and large-scale data environments - Proficient in querying and analyzing both structured and unstructured data (SQL, NoSQL, JSON, MongoDB)  Experience designing or implementing scalable, end-to-end analytics processes with appropriate governance and tracking mechanisms - Bilingualism (English and French) is an asset. If the successful candidate is in Québec, proficiency in both languages will be required to support clients from various provinces outside of Quebec.
- Working knowledge of AI, GenAI, or advanced analytics toolkits and frameworks, including exposure to Retrieval-Augmented Generation (RAG) - Exposure to cloud platforms (e.g., Azure, AWS, or GCP) for data processing, model development, or solution deployment - Experience with data visualization tools such as Tableau, Qlik, or open-source libraries (e.g., ggplot, d3)
- Exposure to cloud platforms (e.g., Azure, AWS, or GCP) for data processing, model development, or solution deployment - Experience with data visualization tools such as Tableau, Qlik, or open-source libraries (e.g., ggplot, d3) - Familiarity with relational database models and large-scale data environments

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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,403, the most 2,949, and the latest week had 2,098.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

This role provides the opportunity to support analytics-enabled initiatives by developing and delivering data analysis and models that address defined business needs post audit closure. As part of the Risk & Resiliency team, the role contributes to Manulife’s mission of helping customers make decisions easier and lives better by producing reliable, actionable insights from data. The successful candidate will work closely with internal teams and business stakeholders to execute analytics tasks across various use cases within the quality lifecycle. Through this role, they will gain hands-on experience working with real business data, established analytics processes, and end-to-end solution delivery.


Position Responsibilities:

  • Develop and implement analytics-enabled solutions to improve business processes, generate insights, and support business strategy
  • Own and deliver end-to-end analytics projects of moderate complexity, while contributing to larger, more complex initiatives
  • Analyze large and complex datasets to generate actionable insights and translate findings into clear business recommendations
  • Collaborate closely with business stakeholders and subject matter experts to understand data sources, processes, and business needs

  

Required Qualifications:

  • Minimum of 5 years of applicable experience with advanced knowledge of programming languages and concepts (Python and SQL, SQL queries)  Knowledge in data visualization tools such as PowerBI, plotly, R Shiny, etc. (or other equivalent data visualization tools)
  • Strong knowledge of machine learning and AI algorithms
  • Degree in Statistics, Mathematics, Computer Science, Engineering, or a related field; or a Bachelor’s degree with equivalent technical experience
  • Experience in designing and developing AI, NLP, and LLM powered solutions

 

Preferred Qualifications:

  • Experience applying statistical modeling and machine learning techniques (e.g., regression, clustering, decision trees, survival analysis)
  • Working knowledge of AI, GenAI, or advanced analytics toolkits and frameworks, including exposure to Retrieval-Augmented Generation (RAG)
  • Exposure to cloud platforms (e.g., Azure, AWS, or GCP) for data processing, model development, or solution deployment
  • Experience with data visualization tools such as Tableau, Qlik, or open-source libraries (e.g., ggplot, d3) 
  • Familiarity with relational database models and large-scale data environments
  • Proficient in querying and analyzing both structured and unstructured data (SQL, NoSQL, JSON, MongoDB)  Experience designing or implementing scalable, end-to-end analytics processes with appropriate governance and tracking mechanisms
  • Bilingualism (English and French) is an asset. If the successful candidate is in Québec, proficiency in both languages will be required to support clients from various provinces outside of Quebec.


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


The role being advertised is an existing vacancy.

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 hr@manulife.com.

Referenced Salary Location

CAN, Ontario, Waterloo, 500 King Street North

Working Arrangement

Hybrid

Base salary range is expected to be between

$94,430.00 CAD - $144,430.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual base salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.


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 hr@manulife.com for more information about U.S.-specific paid time off provisions.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

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Location & working pattern

CAN, Ontario, Waterloo, 500 King Street North

- As part of our global team, we’ll support you in shaping the future you want to see. #LI-HYBRID The role being advertised is an existing vacancy.
More source context
Working Arrangement Hybrid Base salary range is expected to be between $94,430.00 CAD - $144,430.00 CAD Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual base salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.
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