Data Scientist

Manulife Insurance Malaysia; Boston (MA); Hybrid; USD 90,000 - 167,000; Full time

Job summary

John Hancock, part of Manulife, is seeking a Data Scientist to collaborate with engineers, IT, and business partners to build scalable analytics within a modern MLOps framework. You will craft, deploy, and communicate data-driven insights to support portfolio optimization, cost efficiency and growth.

The role requires a Master’s in a quantitative field, strong SQL and Python skills, and 2+ years of data science experience in a consumer product setting.

Qualifications

• Masters or equivalent in a quantitative field (CS, Math, ML, Stats)
• Knowledge and expertise with SQL and relational databases
• Proficient in Python or similar languages
• 2+ years of data science experience in a consumer product company or equivalent

Responsibilities

• Bridge data assets, technology, and business insights with stakeholders.
• Develop, deploy, and monitor analytics solutions in an MLOps framework.
• Collaborate with data and ML engineers to build scalable analytics tools.
• Translate data-driven outputs into actionable business recommendations.
• Communicate complex concepts to non-experts and stakeholders

Skills

SQL

Python

Education

Masters or equivalent in quantitative field

Job description

At John Hancock, data scientists collaborate with engineers, IT, and experts to build analytical models and data architectures for solving business problems within a modern MLOps framework! The Data Scientist is accountable for delivering business value with data by focusing on key corporate objectives, including portfolio optimization, expense efficiency, growth acceleration, digital customer leadership, fraud detection, and high-performance of the team. The Data Scientist is responsible for crafting, building, and deploying business interpretable and performant analytics solutions and applications. Collaborates with data and ML engineers to build scalable self-service tools for the analytics team. The Data Scientist leverages and shares their deep knowledge of, and experience with, a wide variety of data analytics practices and methods. The Data Scientist helps others to improve their knowledge and understanding of the use of data and technology.

Position Responsibilities

Bridging between data assets, technology, and business expertise. Collaborate shoulder-to-shoulder with business experts. Understand the business, the associated processes, systems & data environment. Research, explore, and experiment with data driven business ideas. Research & leverage published material to gain a comprehensive understanding of data science practices and methods. Crafting and building business interpretable and performant analytics solutions. Develop and implement data analytics enabled solutions to improve and re-imagine business process, to generate insights, and support strategy development. Work on problems of diverse scope and complexity requiring the in-depth analysis of data. Quickly develop enough business insight to connect data sources across multiple diverse and complex systems. Generate relevant, actionable insights based on iterative data analysis, translating data-driven output into business language, and making appropriate recommendations to business partners. Work closely with business teams and data science engineers to collaboratively build and deliver rich data content for analysis. Deploy rich data and analytics content in business applications. Understand how the analysis of data impacts a broader business strategy, including the core drivers of business value. Prepare cases on the benefits of the analytics work. Elevate data and analytics skills in the business. Help business partners better understand the use of data, drawing on a detailed understanding of data analytics and predictive modeling. Identify and guide natural data champions to improve the profitable use of data. Learn salient business concepts from data champions and enable them to creatively use data assets.

Required Qualifications

• Masters or equivalent experience in a quantitative field (Computer Science, Mathematics, Physics, Machine Learning, AI, Statistics, or related field)
• Knowledge and expertise with SQL with Oracle, MySQL, and Relational Databases
• Skilled with Python or similar languages
• 2+ years of experience working in data science in a consumer product company collaborating with Machine Learning Scientists, Data Scientists, Research Scientists, Applied Scientists, or similar roles. Can relax this requirement for PhD or equivalent experience.

Preferred Qualifications

• A PhD or equivalent experience in a quantitative field (such as Computer Science, Mathematics, Physics, Machine Learning, Bioinformatics AI, Statistics, or equivalent)
• Practical experience in several of the following areas: machine learning, NLP, statistics, experimental design, deep learning, recommendation systems
• Knowledge and experience in network and graph based analytics techniques including graph databases
• Functional knowledge of Azure Cloud Platform such as Azure ML and Data Factory
• Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
• Outstanding verbal and written communication skills, ability to convey detailed mathematical concepts and considerations to non-experts
• Passionate about working in a diverse group and contributing to an inclusive culture

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 crafting the future you want to see.

Salary & Location

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 [e-mail] for the salary range for your location.

Benefits

• 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.
• 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.

Equal Opportunity Statement

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 [e-mail].

Company Culture

We're on a mission to make decisions easier and lives better. Better is what drives us. It's what inspires us to find new ways to support customers and colleagues in living longer and healthier lives. It's the reason we're dedicated to investing in digital innovation and accelerating a sustainable and economically inclusive future. Joining us means you'll be empowered to learn and grow your career. We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words. And as part of our global team, you'll help shape the future you want to see – and discover that better can take you anywhere you want to go. We're proud of our accomplishments and recognitions. We also 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.