Senior Data Scientist, Underwriting

Reposted 15 Hours Ago
Be an Early Applicant
Singapore, SGP
In-Office
Senior level
Fintech • Insurance • Financial Services
The Role
Lead development and deployment of Generative AI solutions for underwriting using OpenAI services. Collaborate with engineers and stakeholders to prepare large datasets, build advanced ML models, standardize best practices, and scale AI solutions globally while communicating results to technical and non-technical partners.
Summary Generated by Built In

We are looking for a driven and innovative Senior Data Scientist to join our AI team at Manulife. As part of our Generative AI initiatives, you will play a pivotal role in developing and implementing AI solutions focused on building varies Generative AI solutions for Underwriting.

Position Responsibilities

  • Collaborate with Data engineers and IT Subject Matter Experts (SMEs) to understand source data and utilize large datasets to prepare and optimize data for building Generative AI solutions using Open AI services to enhance our products and services and scaling it globally.

  • Develop and implement advanced machine learning models to address complex business challenges, leveraging various algorithms and techniques, with a specific emphasis on utilizing Open AI services for building Generative AI solutions.

  • Work closely with partners to gather requirements, design data models, and implement tailored solutions.

  • Standardize processes, techniques, and tools into best practices for other data scientists.

  • Drive the adoption of data and AI driven solutions by influencing and partnering with key stakeholders.

  • Innovate and explore creative methods to source and utilize structured and unstructured data for building data and AI driven solutions. Stay updated on industry trends and advancements in AI/ML, with a specific focus on leveraging OpenAI services to continuously enhance our products and services and scaling efforts.

Preferred Qualifications

  • An advanced degree in Data Science, Computer Science, Mathematics, Engineering, Statistics, or another quantitative field.

  • Minimum of 5 years of experience utilizing data science to solve high-impact business problems, with a specific recent focus on building Generative AI applications.

  • Proficiency in statistical analysis, machine learning, and data manipulation techniques, particularly in the context of understanding customers and scaling globally.

  • Strong programming skills in languages such as Python, R, or SQL, with experience in prompt engineering and relevant packages like LangChain, LangGraph, AutoGen, Llamaindex and more.

  • Practical experience with big data processing frameworks and platforms such as Azure, Databricks, Spark, with a focus on leveraging these technologies for building and scaling Generative AI solutions using Open AI services.

  • Excellent communication skills – able to translate sophisticated data science concepts to technical and non-technical partners, specifically within the context of building Generative AI solutions using Open AI services and scaling across Asia.

  • Track record of implementing AI solutions into production with tangible business value, particularly related to Generative AI solutions.

Our commitment to you

  • Values-first culture: We lead with our Values every day and bring them to life together.

  • Boundless opportunity: We create opportunities to learn and grow at every stage of your career.

  • Continuous innovation: We invite you to help redefine the future of financial services.

  • Delivering the promise of Diversity, Equity and Inclusion: We foster an inclusive workplace where everyone thrives.

  • Championing Corporate Citizenship: We build a business that benefits all partners and has a positive social and environmental impact.

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].

Working Arrangement

Hybrid

Skills Required

  • Advanced degree in Data Science, Computer Science, Mathematics, Engineering, Statistics, or another quantitative field
  • Minimum of 5 years of experience applying data science to high-impact business problems, with recent focus on Generative AI
  • Proficiency in statistical analysis, machine learning, and data manipulation techniques
  • Strong programming skills in Python, R, or SQL
  • Experience in prompt engineering and working with packages like LangChain, LangGraph, AutoGen, LlamaIndex
  • Practical experience with big data processing frameworks/platforms such as Azure, Databricks, Spark
  • Experience leveraging OpenAI services for building and scaling Generative AI solutions
  • Proven track record of implementing AI solutions into production with measurable business value
  • Excellent communication skills to translate technical concepts to non-technical partners

Manulife Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Manulife and has not been reviewed or approved by Manulife.

  • Healthcare Strength Healthcare coverage is portrayed as comprehensive, spanning medical, dental, prescription drugs, vision, critical illness, and short- and long-term disability. Mental-health support is emphasized via EAP-style services and high annual coverage limits in some regions, alongside wellness programs and navigation tools.
  • Retirement Support Retirement offerings are positioned as a meaningful part of total rewards, including group RRSP/defined contribution pension options and employer matching in some cases. Ownership-related programs such as share purchase/stock options are also described as available for eligible employees.
  • Flexible Benefits Benefits are described as robust and flexible, with customizable packages and spending-account style options in some plans. Digital tools (mobile app/claims) and reward-linked wellness programs are framed as making benefits easier to use and more engaging.

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The Company
HQ: Toronto, Ontario
32,427 Employees
Year Founded: 1887

What We Do

Manulife is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We have more than 40,000 employees, over 116,000 agents serving ~34 million customers worldwide, and over $1.3 trillion in assets under management and administration. Visit www.Manulife.com to find out more. For Manulife terms of use, please visit http://bit.ly/SM_Terms

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