We are a leading financial services provider committed to making decisions easier and lives better for our customers and colleagues around the world. From our environmental initiatives to our community investments, we lead with values throughout our business. To help us stand out, we help you step up, because when colleagues are healthy, respected and meaningfully challenged, we all thrive. Discover how you can grow your career, make impact and drive real change with our Winning Team today.
Working Arrangement: Hybrid
Job Description:
The Opportunity:
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 a business value enabler bridging between data assets, technology, and business expertise. The data scientist is responsible for designing, building, and deploying business interpretable and performant analytics solutions and applications. The Data Scientist works closely with data and machine learning engineers to deploy systematic, modular, and scalable, self-service capabilities to continuously increase the capacity of the advanced analytics team to deliver value. 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.
Responsibilities:
- 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.
- Develop and implement data analytics enabled solutions (ML/ AI) 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.
- Help business partners better understand the use of data, drawing on a thorough understanding of and experience with data analytics and predictive modeling.
- Identify and guide natural data champions in the business to enhance the profitable use of data.
- Learn salient business concepts from data champions and enable them to creatively use data assets.
What motivates you?
- You obsess about customers, listen, engage and act for their benefit.
- You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.
- You thrive in teams and enjoy getting things done together.
- You take ownership and build solutions, focusing on what matters.
- You do what is right, work with integrity and speak up.
- You share your humanity, helping us build a diverse and inclusive work environment for everyone.
What we are looking for:
- Minimum Masters degree in Statistics, Applied Mathematics, Data Science, Engineering, Computer Science, or a closely related field is encouraged. An advanced degree in a quantitative field is preferred.
- Curious, self-starter, lifetime learner with a passion for unlocking business value.
- Ability to engage in the data science process, including data exploration, model development and evaluation, training, validation, and deployment.
- Ability to work with complex datasets.
- Firm understanding of statistics and related technical subject areas.
- Experience and strong ability to program using Python and SQL, experience using related programming languages and analysis tools (e.g. R, PySpark).
- Knowledge of software development standard processes (e.g. Git, DevOps, Agile).
- Some working knowledge of relational database models (e.g. data vaulting techniques, rules tables).
What can we offer you?
- A competitive salary and benefits packages.
- A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills.
- A focus on growing your career path with us.
- Flexible work policies and strong work-life balance.
- Professional development and leadership opportunities.
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.
Salary & Benefits:
The annual base salary for this role is listed below.
Primary Location: Boston, Massachusetts
Salary range is expected to be between: $83,440.00 USD - $154,960.00 USD
If you are applying for this role outside of the primary location, please contact for the salary range for your location. 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. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.
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.
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