Quezon City
Live, first seen by us 9 days agoWorking Arrangement HybridRead the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Develop analytics solutions covering data validation, consolidation, and cleansing
Analyze structured and unstructured data to find trends, anomalies, and control indicators
Turn complex data into clear insights and visualizations for audit and business partners
Automate processes and give technical guidance and training on analytics across Audit Services
Document insights and build business, system, and data knowledge for supported areas
develop analytics-enabled solutions, including data validation, consolidation, cleansing, and quality assessment
Analyze structured and unstructured datasets to identify trends, patterns, anomalies, outliers, and potential compliance or control indicators
translate complex data into clear, actionable insights and visualizations for audit management and business partners
providing technical guidance and training and automating processes to improve data availability and audit efficiency
Develop and maintain business, system, and data knowledge across supported areas while documenting insights
Bachelor’s degree in Statistics, Computer Science, Mathematics, Data Science, or a related discipline. Advanced studies or a Master’s degree would be an advantage.
Experience gathering, storing, retrieving, and analyzing data across various platforms, including structured and unstructured datasets.
Experience building machine learning models and applying statistical techniques such as regression, clustering, and decision trees.
Hands-on experience or familiarity with Generative AI, text analytics, and open-source data visualization libraries.
Experience with Microsoft Azure, Databricks, VBA, and Power Apps.
Required Qualifications: - Bachelor’s degree in Statistics, Computer Science, Mathematics, Data Science, or a related discipline. Advanced studies or a Master’s degree would be an advantage. - At least 3-5 years hands-on experience in data analytics, data management, programming, machine learning, data mining, and statistical analysis.
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
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 9
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.
36 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- At least 3-5 years hands-on experience in data analytics, data management, programming, machine learning, data mining, and statistical analysis. - Advanced programming skills in Python and SQL, with experience working with Microsoft Excel and data visualization tools such as Power BI or Tableau. - Experience gathering, storing, retrieving, and analyzing data across various platforms, including structured and unstructured datasets.
- Hands-on experience or familiarity with Generative AI, text analytics, and open-source data visualization libraries. - Experience with Microsoft Azure, Databricks, VBA, and Power Apps. - Previous experience within the Insurance or Financial Services industry, with an interest in developing strong business and audit knowledge.
Complete your application on manulife.wd3.myworkdayjobs.com. The employer’s form will show what is required.
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Yes. We’ve followed 3 other Data Scientist jobs there since May 2026. 3 came down, usually after about 42 days.
If this one keeps the same pace, it may come down around December 16.
Large employers often post one title for several teams, so these can be separate openings.
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
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.
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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
We’re looking for a Data Scientist to join our Global Risk and Compliance team at MGS. In this role, you are expected to partner with global audit teams to develop data-driven solutions that enhance audit activities and provide meaningful insights across various business functions. You will leverage data analytics, programming, automation, and machine learning techniques to identify trends, anomalies, risks, and opportunities while helping strengthen the use of analytics across Audit Services.
Position Responsibilities:
Required Qualifications:
Preferred Qualifications:
When you join our team:
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.
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Quezon City
Working Arrangement Hybrid
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