Lead Data Scientist

Key Skills

3D data processing, Agile methodologies, Analytical and Problem solving, Azure, Computer Vision (CV), Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Data Visualization, Databricks, Effective communication skills, Git, Large data sets, Machine learning techniques, MLOps tools, Project management, Python Programming, R Programming, SQL

Job Description

Our Canadian Advanced Analytics (AA) team is searching for a dedicated data scientist to work on innovative initiatives. Our team is dedicated to building solutions that increase efficiency, improve processes, and personalize experiences using AI, ML, and analytics. We are seeking a person who can deliver end-to-end analytics life cycle, from data exploration to insights analysis; work closely with business units, data office IT teams to deliver solutions that exceed our partners' expectations.

Responsibilities

• Analyze large data sets and prepare data for predictive modeling, applying ML models, and building algorithms.
• Implement model evaluation techniques, communicate results to team members, and measure the performance of predictions/impact.
• Explore and evaluate new data sources to continuously improve models and algorithms.
• Stay up-to-date with the latest trends and technologies in the field of data science and share knowledge with the team.

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

• Over 8 years experience in data science, machine learning, computer vision, natural language processing, risk analytics, operations research and statistics (in combination with related Masters/PhD programs)
• Excellent data wrangling, data preprocessing, and data visualization skills
• Proficiency in programming languages such as Python, R, and SQL and knowledge of agile solution development principles
• Hands-on experience with VSCode, Git, MLops, CICD pipelines, Azure cloud platform and Azure services such as Azure Databricks, Cognitive Services.( Azure certifications is a plus)
• Strong partner management and project management skills
• Analytical and problem-solving skills, with the ability to work independently and as part of a team.

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.

LI-Hybrid

About Manulife and John Hancock

Manulife 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. At the end of 2022, we had $1.3 trillion (US$1.0 trillion) in assets under management and administration, including total invested assets of $0.4 trillion (US $0.3 trillion), and segregated funds net assets of $0.3 trillion (US$0.3 trillion). We trade as ‘MFC’ on the Toronto, New York, and the Philippine stock exchanges, and under ‘945’ in Hong Kong.

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.

Salary & Benefits

The annual base salary for this role is listed below.

Primary Location

Waterloo, Ontario

Salary range is expected to be between

$107,730.00 CAD - $200,070.00 CAD

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.