Description
The opportunity
This individual will also play a vital role in enhancing data from sales analytics to gain insights into customer behavior, market trends, and sales performance.
By harnessing the power of Databricks and Azure, to optimize sales strategies, identify growth opportunities, and make data-driven decisions.
This will ultimately lead to improved revenue generation, enhanced customer satisfaction, and a driven edge in the market.
Responsibilities
- Clean, preprocess, and analyze large datasets to extract relevant insights and patterns
- Develop and lead machine learning and AI driven projects
- Deploy machine learning models and applications on cloud platforms like Azure ML or Databricks, ensuring detailed integration and scalability.
- Collaborate with data engineers and ML engineers to integrate data science solutions into existing systems and workflows.
- Working knowledge of visualization tools like PowerBI
How will you create impact?
This role will report into Director - Sales Reporting and analytics. This role will significantly impact the organization by ensuring the efficient management and utilization of data through the implementation of Data lake and Azure, leading to improved data insights and decision-making capabilities.
Additionally, the expertise in data visualization and reporting will enable the organization to effectively communicate and present crucial information to collaborators, thereby enhancing transparency and driving informed strategic initiatives.
What motivates you?
- You obsess about customers, listen, engage and act for their benefit.
- You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.
- You thrive in teams and enjoy getting things done together.
- You take ownership and build solutions, focusing on what matters.
- You do what is right, work with integrity and speak up.
- You share your humanity, helping us build a diverse and inclusive work environment for everyone.
What we are looking for
- Bachelor', Master's degree, or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related field.
- 5+ years of experience in developing probabilistic models, data mining, and machine learning algorithms, including real world experience of applying analytics models, with a strong focus on machine learning, generative AI, prompt engineering, and RAG applications
- Proficiency in programming languages such as Python and experience with machine learning libraries / frameworks, e.g., PyTorch, scikit-learn, Hugging Face, SQL, 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.
- 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 optimally in multi-functional teams.
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 stakeholders and has a positive social and environmental impact.
About Manulife and John Hancock
Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better.
With our global headquarters in Toronto, Canada, we operate as Manulife across our offices in Asia, Canada, and Europe, and primarily as John Hancock in the United States.
We provide financial advice, insurance, and wealth and asset management solutions for individuals, groups and institutions.
At the end of 2022, we had more than 40,000 employees, over 116,000 agents, and thousands of distribution partners, serving over 34 million customers.
At the end of 2022, we had $1.3 trillion (US$1.0 trillion) in assets under management and administration, including total invested assets of $0.
4 trillion (US $0.3 trillion), and segregated funds net assets of $0.3 trillion (US$0.3 trillion). We trade as MFC’ on the Toronto, New York, and the Philippine stock exchanges, and under 945’ in Hong Kong.
Manulife is an Equal Opportunity Employer
Salary & Benefits
The annual base salary for this role is listed below.
Primary Location
Toronto, Ontario
Salary range is expected to be between
$74,270.00 CAD - $137,930.00 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.
Machine Learning Engineer
We're looking for a talented and passionate Machine Learning Engineer to join our dynamic team and help shape the future of government services. As a Machine Learning Engineer at our company, you will play a crucial role in developing and implementing advanced ML solutions for our federal government...
Staff Engineer - Machine Learning, NLP (Remote)
Staff Machine Learning Engineer. Join the Platform Architecture Group, collaborate with Staff Engineers and architects and provide high-level end-to-end solution design for the company’s mission critical initiatives. Provide guidance to senior engineers and help to foster a culture of continuous gro...
Senior Machine Learning Platform Engineer
Faire is searching for a top-notch senior engineer to lead design and execution as we continue to build our machine learning platform that will power our wholesale marketplace. Strong understanding of engineering and infrastructure best practices, general software development principles with a machi...
Pre-Sales Engineer (Machine Learning)
As a Pre-Sales Engineer - Machine Learning, you will. Join a leading team specialised in quantum computing and machine learning solutions. Education: Master’s degree in Machine Learning, Physics, Mathematics, Computer Science, or related fields. Strong understanding of machine learning and their app...
Principal Machine Learning Engineer
Autodesk's Emerging Media and Entertainment Technology division is hiring Machine Learning Engineers to work on innovative projects that help our customers imagine, design, and make a better world. Understanding of fundamental CS algorithms and their scaling behavior with a background in statistical...
Machine Learning Engineer, Payment Intelligence
You will work closely with software engineers, machine learning engineers (MLE), data scientists (DS), and ML platform infrastructure teams to design, build, deploy, and operate Stripe’s ML-powered payment decisioning systems, including improving existing ML models and developing new ML solutions. W...
Machine Learning and Graphics Diagnostics Engineer
Preferred Experience: A proven knowledge of machine learning or 3D graphics hardware/firmware/software integration Experience on shader programming and shader language compiler Real-time compute and 3D graphics libraries, such as Vulkan, OpenCL, OpenGL, Direct3D Object-oriented programming in modern...
Machine Learning Engineer II
We're looking for mid level machine learning engineers who have a strong foundational understanding of ML concepts to join our team. You will collaborate with Staff Machine Learning Engineers and Product Managers to influence features and projects . Machine learning is at the heart of this effort an...
Staff Machine Learning Engineer, Positioning
Experience employing a variety of machine learning techniques. We work closely with data scientists, local operators who know their city block-by-block and engineering teams across the stack. Join as a Staff ML Engineer to tackle this complex and multi-faceted problem as well as a variety of other M...
Senior Machine Learning Operations Engineer
The Senior Machine Learning Operations Engineer is responsible for design, development, deployment, and monitoring of machine learning models. The engineer works closely with Data Analysts, ML Engineers in Analytics Exploration and collaborates with Software and Data Engineers to ensure infrastructu...