Associate Data Scientist

We are seeking a highly skilled and motivated Data Scientist to join our team at an associate or intermediate level. As a Data Scientist, you will be responsible for developing and implementing machine learning models, utilizing generative AI techniques, such as applying prompt engineering, working with RAG applications, fine-tuning LLM models using SFT/RLHF/RLAIF, generating synthetic datasets, deploying applications on Azure cloud platforms and publishing in top AI conferences. Your expertise in these areas will play a crucial role in driving data-driven decision-making and enhancing our business processes.

Position Responsibilities: 

• Develop and implement machine learning models to solve complex business problems, leveraging a variety of algorithms and techniques.
• Clean, preprocess, and analyze large datasets to extract meaningful insights and patterns.
• Apply prompt engineering techniques, build with RAG (Retrieval-Augmented Generation) applications, and fine-tune language models and improve their performance in specific tasks.
• Collaborate with cross-functional teams to identify and define business requirements, ensuring alignment with data science objectives.
• Utilize generative AI techniques to generate synthetic data, create realistic simulations, and enhance data analysis capabilities. 
• Design and execute 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.
• Stay up-to-date with the latest advancements in machine learning, generative AI, prompt engineering, RAG applications, and cloud technologies. Apply them to enhance our data science capabilities.
• Publish work in top research conferences for Artificial Intelligence.
• 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 stakeholders, ensuring clear understanding and buy-in.
• Leverage extensive theoretical and practical knowledge of advanced analytic methods and algorithms, understanding their utility in different problem domains (sparse data, rare event detection, etc.), evaluation methodologies and pitfalls. 
• Innovate & find creative ways to source & leverage data to support modeling efforts, leveraging structured & unstructured data, and big data technologies.

Required Qualifications:

• Minimum of 1 to 2 years’ experience or a combination of education and experience specifically in statistical/data analysis and data mining, natural language processing and deep learning.
• Advanced Experience in Python, R, Spark, SQL.
• Post grad in Statistics, Math, Computer Science, Engineering or other related discipline (MS with research work or PhD preferred with record of publications in top AI conferences, such as NeurIPS, ACL, KDD, ICLR, etc.)

Preferred Qualifications:

• Strong commitment to organizational success and teamwork.
• Adaptable and open to change with strong collaboration and elaboration skills.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional 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. 

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 https://www.manulife.com/en/about/our-story.html.

Manulife 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 recruitment@manulife.com.

Referenced Salary Location

Toronto, Ontario

Working Arrangement

Hybrid

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 recruitment@manulife.com 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 recruitment@manulife.com for more information about U.S.-specific paid time off provisions.