Skip to main content

Job ID:

Job Category:


Job Type:

Date Posted:

Apply Now >>    
Job Title :
Data Engineer/Scientist
Job ID :
Category :
Analytics Group
Location :
Boston, MA US
Job Type :
Full Time
Posted On :
Job Description :

Are you looking for unlimited opportunities to develop and succeed?  With work that challenges and makes a difference and a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.


Key Focus: Reporting to the Head of Analytics, the data engineer/scientist will take a leading part in the management of the analytics data environment as well as the review, creation and deployment of existing and new advanced models. The ideal candidate will have experience in a range of the big data space and technologies and stays on top of new development, trends and applies data engineering and science into the marketing and sales organization.
  • Lead technical projects with high impact on sales growth, business profitability, client retention and customer satisfaction
  • Lead complex data mining projects from creation, evaluation, testing and continuously improving using machine learning, and other modeling concepts
  • Innovate & find creative ways to source & leverage data to support modeling efforts, leveraging structured & unstructured data, and big data technologies.
  • Manage data sets from disparate sources using appropriate engineering methodologies, computational frameworks and systems
  • Work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas.
  • Provide expertise on analytics concepts for the broader advanced analytics group, and inspire the adoption of advanced analytics, data engineering and data science across the organization
  • Ph.D. or Master’s Degree in a quantitative discipline (Statistics, Applied Mathematics, Computer Science, etc.)
  • Five plus years developing of probabilistic models, data mining, and machine learning algorithms including real world experience in model development validation and testing
  • Expert in data analysis using Python, R, SQL or SAS
  • Strong data engineering, and data management expertise with demonstrated data transformation and manipulation experience
  • Knowledge of NoSQL systems, Hadoop/map-reduce, Spark, Hbase, etc
  • Strong commitment to organizational success and team work
  • Demonstrated ability to exchange ideas and convey complex information clearly and concisely
  • Experience in sales, distribution, and/or marketing modeling desirable - financial services industry experience preferred
About John Hancock Financial and Manulife
John Hancock is a division of Manulife Financial Corporation, a leading international financial services group that helps people achieve their dreams and aspirations by putting customers’ needs first and providing the right advice and solutions. We operate primarily as John Hancock in the United States, and Manulife elsewhere. We provide financial advice, insurance and wealth and asset management solutions for individuals, groups and institutions. Assets under management and administration by Manulife and its subsidiaries were over $1 trillion (US$806 billion) as of September 30, 2017. Manulife Financial Corporation trades as MFC on the TSX, NYSE, and PSE, and under 945 on the SEHK. Manulife can be found at
One of the largest life insurers in the United States, John Hancock supports approximately 10 million Americans with a broad range of financial products, including life insurance, annuities, investments, 401(k) plans, and college savings plans. We also offer advice through Signator, a network of independent financial advisors. Additional information about John Hancock may be found at
Agency submissions and contacts are by invitation only and must be initiated by John Hancock's Recruiting Department only.  Unsolicited agency submissions will not be honored.

Analytics Group
Apply Now >>    
Link for schema


Any personal information you provide through this site will be privy only to Manulife for the purpose of evaluating your qualifications and experience. At all times, your personal information will be protected by the application of our Privacy Policy.