Associate Data Scientist

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 ArrangementHybridJob DescriptionThe OpportunityJohn Hancock’s Advanced Analytics & AI team works across the US Insurance business to optimize our sales and marketing activities, make life insurance easy to buy, and streamline in-force and claims operations! We have close relationships with functional leadership across the business and a strong working relationship with technology partners. As part of a 160+ member community of data scientists, John Hancock, and our parent Manulife, you will have an opportunity to network with experts across the globe.We are on a transformational journey. We want to remove complexity from the financial services industry, to make people’s lives better and decisions easier. Being part of this transformation is hugely exciting and offers dedicated, ambitious people an amazing opportunity to build a career.You will work as part of a multi-functional team including actuaries and business domain experts. With help from SMEs, you will transform policy language into code to create automated projections and simulations as part of systems testing. You will independently experiment with data and communicate findings to your team and other partners.ResponsibilitiesActively participate in the development of data analytics-enabled solutions to improve internal business processes.Generate useful insights based on iterative data analysis and make appropriate recommendations to business partners.Develop ML models and AI solutions to enable business values.Effectively collaborate with cross-functional teams, establishing an internal network.Strong communication to help business partners better understand the use of data, ML models, and AI solutions.Keep up with new developments in AI, machine learning, and alternative data sources.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 forMaster’s degree in a quantitative field such as Statistics, Applied Mathematics, Data Science, Engineering, or Computer Science or Physics.Proficient in programming using Python and SQL.Proven problem-solving abilities, including conducting root cause analysis to address specific business inquiries and find opportunities for enhancement.Demonstrated expertise in the data analytics life cycle, encompassing problem framing, data collection, data cleansing, insights generation, reporting, and communication.Good understanding of statistics and related technical fields.Skilled in the machine learning modeling life cycle, including exploratory data analysis, data cleansing, feature engineering, model building, deployment, and monitoring.Solid knowledge and highly skilled in supervised and unsupervised machine learning algorithms and deep learning.Experience in developing and deploying models in cloud-based environments, specifically Microsoft Azure.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 youValues-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.#LI-Hybrid#LI-JHAbout Manulife and John HancockManulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, Canada, we operate as Manulife across our offices in Asia, Canada, and Europe, and primarily as John Hancock in the United States. We provide financial advice, insurance, and wealth and asset management solutions for individuals, groups, and institutions. At the end of 2022, we had more than 40,000 employees, over 116,000 agents, and thousands of distribution partners, serving over 34 million customers.Manulife is an Equal Opportunity EmployerAt 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.Salary & BenefitsThe annual base salary for this role is listed below.Primary LocationBoston, MassachusettsSalary range is expected to be between$68,740.00 USD - $127,660.00 USDIf you are applying for this role outside of the primary location, please contact recruitment@manulife.com 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.

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