Demo

Data Scientist

John Hancock
Boston, MA Full Time
POSTED ON 1/29/2025
AVAILABLE BEFORE 2/26/2025
The Opportunity

John 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.

John Hancock is a unit of Manulife Financial Corporation, a leading international financial services group offering insurance and wealth management solutions in the US, Canada, Europe, and Asia!

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 incredibly exciting and offers dedicated, ambitious people an outstanding opportunity to build a career.

Responsibilities

  • Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients.
  • Collaborating with business teams to understand their business problem, gather requirements, create initial hypothesis, and development and deployment of GenAI and AI solution approach.
  • Designing and solutioning AI/GenAI architectures for business teams, specifically for plugin-based solutions and custom AI/GenAI application builds.
  • Leading and contributing to development of proof of concepts, pilots, and production use cases for business teams while working with cross-functional teams.
  • Generate useful insights based on iterative data analysis and make appropriate recommendations to business partners.
  • Continuously monitor and improve the performance of AI solutions through data analysis and testing.
  • Strong communication to help business partners better understand the use of data, ML models and AI solutions.
  • Stay up-to-date with the latest trends and advancements in cloud-based machine learning platforms, technologies and techniques.

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

  • Master’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.
  • Experience in using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL).
  • At least 2-year industry experiences in developing and deploying models using conventical AI and GenAI techniques.
  • Hands on experiences in developing NLP models (Document Classification, Entity Extraction, Entity Relation Extraction, etc.).
  • Demonstrated problem-solving abilities, including conducting root cause analysis to address specific business inquiries and find opportunities for improvement.
  • Demonstrated expertise in the data analytics life cycle, encompassing problem framing, data collection, data cleansing, insights generation, reporting, and communication.
  • Skilled in the machine learning modeling life cycle, including exploratory data analysis, data cleansing, feature engineering, model building, deployment and monitoring.
  • Good understanding of vectorization and embedding, prompt engineering, RAG, Multi-agent techniques.
  • Solid knowledge and highly skilled in supervised and unsupervised machine learning algorithms, deep learning, and LLMs.
  • Experience in developing and deploying models in cloud-based environments, specifically Microsoft Azure and Databricks, following standard processes for MLOps.
  • Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc.

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.

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 recruitment@manulife.com.

Primary Location

Boston, Massachusetts

Working Arrangement

Hybrid

Salary range is expected to be between

$87,990.00 USD - $163,410.00 USD

If you are applying for this role outside of the primary location, please contact recruitment@manulife.com 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.

Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify I Pay Transparency

Company: John Hancock Life Insurance Company (U.S.A.)

Salary : $87,990 - $163,410

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