Data Scientist

Manulife

Manulife is an international financial services provider engaged in a digital transformation journey. The Data Scientist role focuses on data-driven decision-making across functions like finance, HR, and digital marketing. The team collaborates on strategic objectives, fostering a culture of continuous improvement.

In this role you can expect to have the responsibilities:

• Collaborate with various teams to develop predictive models and machine learning algorithms.
• Translate business challenges into analytical frameworks and provide actionable insights.
• Apply Generative AI techniques to automate and improve data processes.
• Analyze datasets to build predictive and prescriptive models.
• Work closely with stakeholders to integrate insights into operational processes.
• Monitor model performance and incorporate user feedback for continuous improvement.
• Ensure data governance and security are maintained in alignment with regulations.
• Communicate data science concepts to non-technical audiences.
• Mentor teams and collaborate in peer reviews to maintain high standards.

This role comes with the following benefits:

• Competitive salary and benefits package.
• Opportunities for professional growth and career path expansion.
• Flexible work policies promoting work-life balance.
• Professional development and leadership opportunities.

This role requires you to have:

• Experience in programming languages like Python or R.
• Ability to analyze complex datasets and apply machine learning techniques.
• Strong verbal and written communication skills.
• Experience working in cross-functional teams.

You would benefit from having:

• Familiarity with cloud platforms like Azure, AWS, or GCP.
• Experience with big data frameworks such as Spark or Hadoop.

Manulife emphasizes diversity, equity, and inclusion, fostering a workplace that values different perspectives and upholds fair recruitment and compensation practices. The company is committed to removing employment barriers and providing equal access.