Associate Data Scientist

Manulife Financial; Toronto; Hybrid; CAD 60,000 - 114,000; Full time

Job summary

A leading financial services provider in Toronto is seeking an Associate Data Scientist to enhance fraud detection capabilities. The role involves developing machine learning models, utilizing cloud computing, and collaborating with teams to implement novel solutions. Candidates should have strong Python programming skills and an advanced degree in a relevant field. This is a hybrid position offering a competitive salary ranging from $60,900 to $113,100 CAD along with comprehensive benefits.

Benefits

Customizable health benefits

Pension and share ownership plan

Generous paid time off

Employee assistance programs

Qualifications

• Experience in data science with a focus on fraud detection is preferred.
• Ability to implement scalable and performance-optimized solutions in cloud environments.
• Strong communication and collaboration skills.

Responsibilities

• Design and refine machine learning models for fraud detection.
• Utilize Azure Databricks to efficiently process large datasets.
• Conduct in-depth data exploration and preprocessing.

Skills

Strong programming skills in Python

Familiarity with ML frameworks such as PyTorch and scikit-learn

Experience with Generative AI techniques

Cloud platforms, specifically Azure Databricks

Strong problem-solving skills

Excellent communication skills

Education

Advanced degree (Master's, or Ph.D.) in a relevant field

Job description

Join our dynamic Group Functions AI team as an Associate Data Scientist, where you will play a crucial role in enhancing our Global Fraud Center of Excellence. We are seeking a motivated individual with expertise in Machine Learning (ML) modeling, GenAI integration, and cloud computing. You will develop sophisticated AI models and leverage cloud technologies like Azure and Databricks to process large volumes of data efficiently. Your work will directly contribute to the security and integrity of our global financial services, collaborating with cross-functional teams to design and implement cutting-edge fraud detection algorithms.

Position Responsibilities

• ML Model Development: Design and refine machine learning models for fraud detection, integrating GenAI techniques to enhance capabilities.
• Cloud Computing: Utilize Azure Databricks and other cloud platforms to efficiently process large datasets, ensuring solutions are scalable and high-performing.
• Data Exploration: Conduct in-depth data exploration and preprocessing to identify patterns, trends, and anomalies within large-scale datasets.
• Innovation and Improvement: Stay updated on the latest developments in ML, GenAI, and data processing methods to continuously enhance our anti-fraud analytics.
• Scalable Coding: Implement scalable coding practices for deploying ML models in cloud environments.
• Production Support: Provide in-production application support, investigating and resolving issues quickly and effectively.
• Collaboration: Work with data engineers and ML engineers to integrate data science solutions into existing systems and workflows.
• Communication: Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

Required Qualifications

• Strong programming skills in Python and familiarity with ML frameworks such as PyTorch and scikit-learn.
• Experience with Generative AI techniques and cloud platforms, specifically Azure Databricks.
• Advanced degree (Master's, or Ph.D.) in Computer Science, Data Science, Statistics, Engineering, or related fields.

Preferred Qualifications

• Proven experience in data science with a focus on fraud detection is preferred.
• Ability to implement scalable and performance-optimized solutions in cloud environments.
• Strong problem-solving skills and the ability to think creatively.
• Excellent communication skills and the ability to collaborate effectively with diverse teams.

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.

Referenced Salary Location: Toronto, Ontario

Working Arrangement

混合式

Salary range is expected to be between $60,900.00 CAD - $113,100.00 CAD

If you are applying for this role outside of the primary location, please contact [e-mail] 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 [e-mail] for more information about U.S.-specific paid time off provisions.