Join Our Winning Team as a Senior Data Scientist – Gen AI Chatbot

At Manulife/John Hancock, we are a leading global financial services provider dedicated to simplifying decisions and enhancing lives for our customers and colleagues worldwide. Through our commitment to environmental initiatives and community investments, we lead with values that permeate every aspect of our business. We believe in empowering our teams, ensuring colleagues are healthy, respected, and meaningfully challenged, so we all thrive together.

Career Growth and Impact

Discover how you can grow your career, make a significant impact, and drive real change with our Winning Team at Manulife/John Hancock.

Job Details

Working Arrangement

Hybrid

Job Description

We are excited to welcome a passionate Senior Data Scientist to join our Global Advanced Customer Analytics team. In this role, you will lead the development and global scaling of innovative chatbot technology using retrieval augmented generative (RAG) models as part of our Customer Experience (CX) initiative. Your efforts will be crucial in leveraging customer data to enhance our products and services, delivering exceptional customer experiences globally.

Responsibilities

• Collaborate with data engineers and IT Subject Matter Experts (SMEs) to understand source data
• Utilize large datasets to prepare and optimize data for RAG-based chatbot model development
• Develop and implement advanced machine learning models focusing on RAG technology to solve complex business challenges
• Work closely with partners to gather requirements, design data models, and implement tailored solutions for RAG chatbot development
• Standardize processes, techniques, and tools into best practices for other data scientists, with a focus on RAG-based chatbot development
• Drive the adoption of insights from RAG chatbot analytics by influencing and partnering with key stakeholders
• Innovate and explore methods to source and use structured and unstructured data for RAG chatbot modeling
• Stay updated on industry trends and advancements in AI/ML, particularly RAG technology, to enhance our global chatbot capabilities

What Motivates You?

• Obsessing about customers and acting for their benefit
• Thinking big, with a curiosity-driven approach to enable business outcomes
• Thriving in team settings and enjoying collaborative efforts
• Taking ownership and building solutions with a focus on what matters
• Acting with integrity and speaking up
• Sharing your humanity to help build a diverse and inclusive work environment

Candidate Requirements

• An advanced degree in Data Science, Computer Science, Mathematics, Engineering, Statistics, or a related field
• Minimum of 5 years of experience in building and scaling chatbots using RAG technology
• Proficiency in data wrangling, preprocessing, and visualization, with expertise in Python, R, and SQL
• Experience with big data processing frameworks and platforms like Azure, Databricks, and Spark, focusing on chatbot implementation and scaling
• Excellent communication skills to translate complex data science concepts to technical and non-technical partners
• Proven track record of implementing RAG chatbot models into production with tangible business value
• Previous experience in customer analytics is an asset, especially within the RAG chatbot technology domain

What We Offer

• Competitive salary and benefits packages
• A growth trajectory that emphasizes continuous learning and skill development
• Flexible work policies promoting work-life balance
• Professional development and leadership opportunities

Our Commitment

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

About Manulife/John Hancock

Manulife Financial Corporation