drjobs Senior Data Scientist

Senior Data Scientist

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1 Vacancy
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Job Location drjobs

Toronto - Canada

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Join us in our ambitious to lead digital transformation at Manulife where we are accelerating data-driven decision-making across the enterprise through significant investments in Advanced Analytics AI and Generative AI. In this pivotal role you will lead and mentor a high-performing team of data scientists crafting the end-to-end delivery of AI and GenAI solutions. You will work with vast varied datasets drawn from many business domains to drive operational efficiency gain risk insights and cultivate strategic innovation. Collaborating with business and technology partners you will turn novel ideas into scalable products that transform how we work while giving to a culture of continuous learning experimentation and innovation.

Position Responsibilities:

  • Drive Strategic Transformation Champion AI and GenAI projects that deliver significant efficiencies risk insights and revenue or cost impact.
  • End-to-End Delivery Scope use cases engineer features develop models deploy to production and establish performance monitoring and ROI measurement.
  • Innovate with GenAI Design solutions leveraging LLM fine-tuning retrieval-augmented generation (RAG) and prompt orchestration; evaluate new GenAI tools and frameworks.
  • Cross-Functional Partnership Translate business objectives into analytics roadmaps communicate results in plain language and embed models into day-to-day workflows via APIs dashboards or automation.
  • Thought Leadership Research and apply emerging methodologies; run demos PoCs and knowledge-sharing sessions to keep the organization at the forefront of AI.
  • Mentorship & Quality Set coding research and MLOps standards; conduct peer reviews coach junior staff and foster a collaborative high-performing team environment.

Required Qualifications:

  • Data Science Mastery 7 years in applied data science machine learning or other statistical roles including hands-on model development and production deployment. Expert Python and SQL; solid grasp of ML/GenAI libraries (scikit-learn PyTorch/TensorFlow Hugging Face); experience with big-data frameworks (Spark Databricks) and cloud ML tooling (Azure ML MLflow Docker CI/CD).
  • Bachelors in Data Science Computer Science Statistics Mathematics or related field (Masters or PhD an asset).

Preferred Qualifications:

  • Proven ability to guide multidisciplinary teams set technical standards and manage project portfolios.
  • Comfort translating complex analytics into clear actionable insights and influencing senior stakeholders.
  • Adaptability & Resilience Calm under pressure open to change and able to balance multiple priorities.
  • Experience with LLM production workloads regulated enterprise environments or contributions to AI/ML publications or conferences.

When you join our team:

  • Well empower you to learn and grow the career you want.
  • Well recognize and support you in a flexible environment where well-being and inclusion are more than just words.
  • As part of our global team well 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 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 .

Referenced Salary Location

Toronto Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$94220.00 CAD - $174980.00 CAD

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


Required Experience:

Senior IC

Employment Type

Full-Time

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