Senior Data Science Engineer

The data science engineer is responsible for developing automated tools and data products to enhance AI capabilities and designing efficient, business-friendly analytics solutions. They focus on creating scalable, self-service systems to support the AI team's expansion. Additionally, they leverage their extensive knowledge in data analytics and technology to educate and improve the skills of others.

Position Responsibilities: 

Provide data subject matter expertise

• Responsible for understanding the systems & data environment.
• Research, explore, and tinker with new data design ideas and related technologies.
• Collaborate with internal/external data experts.
• Research & leverage technical documentation to gain a holistic understanding of the data domain.

Support Analytics projects

• Work with data scientists to transform business requests into value-add data products and capabilities.
• Work closely with business teams and data scientists to collaboratively assess, understand, improve, and deliver rich data content for analysis.
• Assist in the development the conceptual/logical data models or semantic layers with appropriate business contexts.
• Automate, re-build, and re-imagine data processes to increase efficiencies in business processes.
• Tactical support of project activities: data access, understanding, engineering, visualization, and decision making.

Elevate data and analytics skills in the business

• Help businesspeople better understand the use of data and automation, drawing on a thorough understanding of and experience with technologies for intelligent automation, data modeling, data management, etc.
• 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 technologies.

Required Qualifications:

• 7+ years’ of Data Science experience 
• Advanced experience with databases.
• Advanced Experience in Python, SQL, Spark, C#, etc.
• Advanced Experience in automating data pipelines and working with data transformation tools.
• Advanced experience working with internal business contacts to develop analytical reports.
• Advanced experience with cloud technologies, particularly Azure, and Data as a Service (DaaS).University degree in quantitative based field (e.g. Mathematics, Physics, and Engineering).

Preferred Qualifications:

• Experience providing data analysis to support management decisions.
• General knowledge of data analytics theory & application.
• Experience with analytics tools and visualization tools a plus.

When you join our team:

• We’ll empower you to learn and grow the career you want. 
• We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words. 
• As part of our global team, we’ll support you in shaping the future you want to see. 

#LI-Hybrid

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.

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