Back to jobs

Lead Data Scientist - Hybrid

Pay
USD 127,330–236,470/yearAnnual period assumed. Location-specific pay — pay source
Salary range is expected to be between $127,330.00 USD - $236,470.00 USD Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. 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. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.
Read the full posting
Work setting
Hybrid — work setting source
Working Arrangement Hybrid Salary range is expected to be between
Read the full posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to workRight to Work

What you’ll work on

Full posting
  • Lead data science projects from problem definition through to enhancement

  • Develop statistical and machine-learning models for automated underwriting

  • Implement analytical solutions in production with engineering teams

  • Monitor model performance and recommend improvements over time

  • Provide technical direction and mentor data scientists

From the employer’s posting
Lead data science projects from problem definition and data exploration through modeling, evaluation, implementation, and enhancement.
Develop statistical and machine-learning models using techniques appropriate to the business problem, available data, and intended use.
Collaborate with data engineers, machine-learning engineers, software engineers, and technology teams to implement analytical solutions in production.
Monitor model performance, investigate unexpected outcomes, and recommend improvements as data and business conditions evolve.
Provide technical direction, review analytical work, and mentor data scientists and other analytical contributors.

What you’ll bring

All qualifications

Core experience

  • Bachelor’s or advanced degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, Actuarial Science, Economics, or a related quantitative field.
  • 8 years of experience applying statistics, machine learning, or predictive analytics to complex business problems.
  • Strong knowledge of statistical modeling, machine learning, model evaluation, and experimental design.
  • Proficiency in Python or R and SQL, with experience working with large and complex datasets.
  • Demonstrated experience developing analytical solutions from concept through production implementation and monitoring.
  • Experience leading analytical workstreams and providing technical guidance to other data scientists.

Preferred experience

  • Familiarity with actuarial concepts, mortality analytics, or an actuarial designation is an asset but not required.
Qualification wording
Bachelor’s or advanced degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, Actuarial Science, Economics, or a related quantitative field.
8 years of experience applying statistics, machine learning, or predictive analytics to complex business problems.
Strong knowledge of statistical modeling, machine learning, model evaluation, and experimental design.
Proficiency in Python or R and SQL, with experience working with large and complex datasets.
Demonstrated experience developing analytical solutions from concept through production implementation and monitoring.
Experience leading analytical workstreams and providing technical guidance to other data scientists.
Familiarity with actuarial concepts, mortality analytics, or an actuarial designation is an asset but not required.
Education & alternatives
Qualifications - Bachelor’s or advanced degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, Actuarial Science, Economics, or a related quantitative field. - 8 years of experience applying statistics, machine learning, or predictive analytics to complex business problems.

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

Report an error
Status in our records
Live
First seen by us
Oct 6, 202638 days ago
Recorded sightings
95
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

Pay

In line with similar jobs

$127K–$236K against $118K–$195K, the middle half of what similar US postings state.

From 3,828 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 38

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
Where the posting names them
- Strong knowledge of statistical modeling, machine learning, model evaluation, and experimental design. - Proficiency in Python or R and SQL, with experience working with large and complex datasets. - Demonstrated experience developing analytical solutions from concept through production implementation and monitoring.

Your next step

Complete your application on manulife.wd3.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

  • You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
  • “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

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 ↗

The Opportunity

We are seeking a Lead Data Scientist to develop advanced analytics and AI solutions that improve underwriting decisions, expand automation, and deliver measurable business value.

The successful candidate will lead complex analytical work from problem definition through model development, implementation, and ongoing enhancement. This role requires strong data science expertise, solid life insurance underwriting knowledge, and the ability to provide technical direction across projects.


Job Summary

The Lead Data Scientist is responsible for developing and delivering statistical and machine-learning solutions for automated underwriting and related business problems. The role translates complex business needs into rigorous analytical approaches and ensures that solutions are accurate, interpretable, scalable, and practical for business use.

This is a hands-on role that also provides technical direction, reviews analytical work, mentors other data scientists, and communicates recommendations to technical and business stakeholders.


Position Responsibilities

  • Partner with underwriting, business, product, and technology stakeholders to identify and prioritize data science opportunities.
  • Lead data science projects from problem definition and data exploration through modeling, evaluation, implementation, and enhancement.
  • Develop statistical and machine-learning models using techniques appropriate to the business problem, available data, and intended use.
  • Analyze large and complex datasets to identify patterns, generate insights, and support business decisions.
  • Define model-evaluation approaches and ensure solutions are accurate, interpretable, stable, and aligned with business objectives.
  • Evaluate new data sources, analytical methods, and third-party solutions through structured analysis and experimentation.
  • Collaborate with data engineers, machine-learning engineers, software engineers, and technology teams to implement analytical solutions in production.
  • Monitor model performance, investigate unexpected outcomes, and recommend improvements as data and business conditions evolve.
  • Prepare clear technical documentation to support implementation, validation, governance, and ongoing model management.
  • Provide technical direction, review analytical work, and mentor data scientists and other analytical contributors.

Qualifications

  • Bachelor’s or advanced degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, Actuarial Science, Economics, or a related quantitative field.
  • 8 years of experience applying statistics, machine learning, or predictive analytics to complex business problems.
  • Strong knowledge of statistical modeling, machine learning, model evaluation, and experimental design.
  • Proficiency in Python or R and SQL, with experience working with large and complex datasets.
  • Demonstrated experience developing analytical solutions from concept through production implementation and monitoring.
  • Experience leading analytical workstreams and providing technical guidance to other data scientists.
  • Strong problem-solving, communication, and technical documentation skills.
  • Solid experience in life insurance underwriting, automated underwriting, risk selection, or related insurance analytics.
  • Experience with cloud-based analytics platforms, model governance, external data evaluation, or third-party model assessment is an asset.
  • Familiarity with actuarial concepts, mortality analytics, or an actuarial designation is an asset but not required.

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.

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

Boston, Massachusetts

Working Arrangement

Hybrid

Salary range is expected to be between

$127,330.00 USD - $236,470.00 USD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. 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. 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/John Hancock 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/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.

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.

Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify

Company: John Hancock Life Insurance Company (U.S.A.)
Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
Salary range is expected to be between $127,330.00 USD - $236,470.00 USD Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. 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. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.
Location & working pattern

Boston, Massachusetts

Working Arrangement Hybrid Salary range is expected to be between
Work authorization
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. Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify Company: John Hancock Life Insurance Company (U.S.A.)

More relevant text appears in the full description.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.