Associate Data Scientist
CAN, Ontario, Toronto, 200 Bloor Street East, Canada
Full Time Mid-level / Intermediate USD 60K - 113K
Manulife
Manulife is a leading financial services group. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions.The Opportunity
As an Associate Data Scientist, you will play a key role in supporting advanced analytics and AI initiatives that transform Actuarial, Finance, Treasury, and Operations. You will work under the guidance of senior data scientists, using large datasets and employing advanced analytical techniques—including machine learning and Generative AI (GenAI)—to address business challenges.
Your day-to-day work will involve hands-on data exploration, model development, and translating data-driven insights into actionable business recommendations. You will collaborate with cross-functional teams—including actuaries, finance professionals, and operations specialists—to design and implement solutions that improve workflows, enhance decision-making, and optimize business performance.
This role provides a unique opportunity to gain practical experience in data science and AI, contribute to impactful projects, and grow in a supportive and innovative environment.
Responsibilities
- Develop Predictive Models: Assist in building and implementing predictive analytics and machine learning models to improve decision-making in finance, actuarial, and operations.
- Data Exploration & Preprocessing: Conduct data analysis, cleaning, and transformation to prepare datasets for modeling and insights generation.
- Collaborate with Business Teams: Work closely with finance, actuarial, and operations teams to understand business challenges and develop data-driven solutions.
- Apply AI & GenAI Techniques: Support the integration of AI and GenAI solutions into business processes to drive automation and enhance decision-making.
- Contribute to Research & Development: Stay updated on the latest developments in AI, data science, and analytics methodologies, applying them to real-world business problems.
- Support End-to-End Analytics Implementation: Assist in deploying data science solutions, monitoring performance, and refining models for continuous improvement.
- Create Data Visualizations & Reports: Develop dashboards and reports to communicate insights effectively to business partners.
- Collaborate with Senior Team Members: Work under the guidance of senior data scientists, participating in peer reviews and knowledge-sharing sessions to enhance learning and professional growth.
What motivates you?
- You are curious about solving complex business challenges using data.
- You thrive in a collaborative environment and enjoy working with teams to achieve shared goals.
- You take ownership of your work, demonstrating initiative and a drive to learn.
- You value integrity and do what is right.
- You contribute to a diverse and inclusive work environment, supporting innovation and teamwork.
What we are looking for
- Educational Background: Post-secondary education in Data Science, Computer Science, Mathematics, or a related field. Advanced degrees such as a Master's or PhD are beneficial but not mandatory.
- Technical Skills: Proficiency in Python, SQL, and data analysis tools such as R or SAS. Familiarity with cloud platforms (Azure, GCP) and big data tools (Spark, Hive) is an asset.
- Foundational Knowledge in Machine Learning: Understanding of statistical modeling, regression, classification, and clustering techniques. Exposure to AI and GenAI concepts is a plus.
- Analytical & Problem-Solving Abilities: Ability to break down business problems and apply data science techniques to generate insights.
- Teamwork & Communication Skills: Strong interpersonal and communication skills, with the ability to collaborate effectively with technical and non-technical partners.
- Eagerness to Learn: Enthusiasm for developing expertise in data science and staying updated with new technologies and methodologies.
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 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
Toronto, OntarioWorking Arrangement
HybridSalary range is expected to be between
$60,900.00 CAD - $113,100.00 CADIf 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 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 and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact recruitment@manulife.com for more information about U.S.-specific paid time off provisions.
Tags: Azure Big Data CAD Classification Clustering Computer Science Data analysis Finance GCP Generative AI Machine Learning Mathematics ML models PhD Python R R&D Research SAS Spark SQL Statistical modeling Statistics
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Insurance Wellness
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