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Data Scientist

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Manulife

16d ago

  • Job
    Full-time
    Mid & Senior Level
  • Science
    Data
  • Waterloo

AI generated summary

  • You need a degree in a relevant field, experience in data science (preferably fraud detection), proficiency in Python and machine learning libraries, AzureML, Databricks, strong collaboration, and problem-solving skills.
  • You will analyze data, develop and refine machine learning models for fraud detection, collaborate with teams, and communicate findings while deploying solutions on cloud platforms.

Requirements

  • Bachelor', Master's degree, or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related field.
  • Proven experience in data science, analytics, or a related field, with a focus on fraud detection preferred.
  • Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks, e.g., PyTorch, scikit-learn, graph databases (Neo4j/Cypher, Cosmos DB/Gremlin).
  • Knowledge of professional software engineering practices & standard methodologies for the full software development process, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Experience with AzureML, Databricks, and PowerBI
  • Strong collaboration and elaboration skills; demonstrates a strong commitment to organizational success; shares resources and demonstrates knowledge across the organization.
  • Strong problem-solving skills and the ability to think critically and creatively to develop innovative solutions.
  • Excellent communication and collaboration skills, with the ability to work effectively in multi-functional teams.

Responsibilities

  • Collaborate with the anti-fraud team to understand requirements and translate business problems into analytical solutions.
  • Conduct data exploration and preprocessing to identify patterns, trends, and anomalies in transactional data.
  • Develop and refine machine learning models for fraud detection, applying a variety of data sources and advanced analytical techniques.
  • Stay abreast of the latest developments in fraud detection technology and analytics methods.
  • Contribute to the continuous improvement of the anti-fraud program's analytical capabilities.
  • Develop analytical solutions using ML, graph analytics and link analysis, etc. to support investigations of fraud or misconduct.
  • Design and implement experiments to validate and optimize machine learning models, ensuring accuracy, efficiency, and scalability.
  • Deploy machine learning models and applications on cloud platforms like Azure ML or Databricks, ensuring seamless integration and scalability.
  • Collaborate with data engineers and ML engineers to integrate data science solutions into existing systems and workflows.
  • Communicate complex technical concepts and findings to both technical and non-technical partners, ensuring clear understanding and agreement.

FAQs

What is the main focus of the Data Scientist role in the Canadian Advanced Analytics team?

The main focus is to develop sophisticated AI and ML models to enhance Manulife’s anti-fraud program.

What kind of collaborations will a Data Scientist engage in?

A Data Scientist will collaborate with the anti-fraud team, multi-functional teams, data engineers, and ML engineers to design and implement fraud detection algorithms.

What programming languages and tools are preferred for this role?

Proficiency in programming languages such as Python and familiarity with machine learning libraries/frameworks like PyTorch and scikit-learn, as well as experience with AzureML and Databricks, are preferred.

What qualifications are required for this position?

Candidates should have a Bachelor’s, Master's degree, or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related field, along with proven experience in data science or analytics, preferably with a focus on fraud detection.

Is there an emphasis on continuous learning in this role?

Yes, the role encourages staying abreast of the latest developments in fraud detection technology and analytics methods, contributing to continuous improvement of the anti-fraud program's analytical capabilities.

What type of work environment does Manulife promote?

Manulife promotes a values-first culture with a commitment to diversity, equity, and inclusion, aiming to create a workplace where everyone can thrive.

What benefits are offered to employees in this role?

Benefits include customizable health, dental, and wellness benefits, retirement savings plans, financial education and counseling resources, and a generous paid time off program.

Can you describe the support for career growth within the company?

Manulife offers a growth trajectory that encourages employees to follow their passions and learn new skills, with a focus on professional development and leadership opportunities.

What compensation package is available for this position?

The salary range is expected to be between $75,880.00 CAD - $140,920.00 CAD, with opportunities to participate in incentive programs tied to business and individual performance.

What is the working arrangement for this position?

The working arrangement is hybrid, allowing employees to work both remotely and in-person.

Finance
Industry
10,001+
Employees

Mission & Purpose

Manulife is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We have more than 40,000 employees, over 116,000 agents serving ~34 million customers worldwide, and over $1.3 trillion in assets under management and administration.