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Manulife

Data Scientist

Posted Yesterday
In-Office
Boston, MA, USA
90K-167K Annually
Mid level
In-Office
Boston, MA, USA
90K-167K Annually
Mid level
Develop end-to-end data science models to optimize sales and marketing, collaborating with multi-functional teams, and improving AI systems through advanced analytics.
The summary above was generated by AI

The Manulife/John Hancock AI Team is seeking a highly skilled and motivated Data Scientist with a strong focus on developing end-to-end data science models and solutions to accelerate and optimize sales and marketing efforts! In this role, you will collaborate closely with Data Scientists, BI Specialists, Sales and Marketing Leaders, and IT partners. Together, you will complete AI and Advanced Analytics initiatives that will build the future of our business. The team implements a wide range of traditional ML models as well as innovative LLM approaches. As a Data Scientist, you will lead the development and deployment of innovative ways to optimize existing and new machine learning systems, unlocking their full potential to drive maximum business value.

Position Responsibilities:

  • Develop machine learning models and applications on cloud platforms like Azure Databricks and AKS, ensuring seamless integration, scalability, and cost-effectiveness.
  • Solve business problems by deploying LLM/ Generative AI solutions by using RAG, Azure AI Search and other techniques.
  • Design and develop ML models to address distribution and marketing efficiencies, including recommendation systems, content generation and competition optimization.
  • Continuously monitor and improve the performance of machine learning models through data analysis and testing
  • Collaborate with multi-functional teams to plan, scope, implement, and sustain predictive analytics solutions.
  • Stay up to date with the latest advancements in AI technologies and methodologies, and evaluate their potential applications to improve our AI engineering processes.

Required Qualifications:

  • Bachelor's (and at least 3 years of experience working in AI/ Data Science) or Master’s degree in Computer Science, Engineering, Mathematics, or related field
  • Hands on experience with Azure cloud tools, such as Databricks, AI Foundry, AI Search, Kubernetes
  • Strong background with Python and SQL, experience using both for data analysis and orchestration.
  • Experience in applying analytics and AI tools in Marketing and Sales functions. Insurance industry experience is a plus.
  • Strong business insight and ability to understand collaborators’ needs
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration skills

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 distributed team, we’ll support you in building the future you want to see.

#LI-Hybrid

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 [email protected].

Referenced Salary Location

Boston, Massachusetts

Working Arrangement

Hybrid

Salary range is expected to be between

$90,160.00 USD - $167,440.00 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 [email protected] 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.

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.)

Top Skills

Ai Foundry
Ai Search
Azure Databricks
Kubernetes
Python
SQL

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