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Will collaborate with various teams to deliver data-driven insights and scalable solutions that align with business objectives, while identifying opportunities for data solutions and building business cases to demonstrate their value and ROI. Additionally, research anddevelopMLand GenAI solutions to enhance automation, evaluate emerging technologies to improveworkflows, and supportchange managementduring transitions.
Position Responsibilities:
Collaborate with multiple teams toprovidedata-driven insights,develop
Identifyopportunities for data driven solutions, assess feasibility, and build business cases todemonstratevalue and ROI
Research, prototype, anddevelopMLandGenAIpowered solutions to enhance automation and decision-making processes
Evaluate and introduce emerging technologies, best practices, and tools to improve the team's capabilities andworkflows
Provide support andfacilitatechange managementduring periods of transition.
Required Qualifications:
Degree in Statistics, Math, ComputerScience,Engineering, or other courseswith equivalent technical experience
Minimum of 2-5 years of applicable experiencewith advanced knowledge of programming languages and concepts(R,Python,Pyspark)
Experience developing frontends and APIsarea plus(Javascript, C, etc.)
Experience in designing and developingAI,NLP, andLLM powered solutions
Experience working and developing solutions on thecloud(Azure,AWS,GCP) is a plus
Strong knowledge ofmachine learningandAIalgorithms
Strong communicationskills Able to simplify complex concepts to a broad audience
Proficient in querying and analyzing both structured and unstructured data (SQL,NoSQL,JSON,MongoDB)
Ability to manage multiple concurrent projects
Knowledgein statistical tests, distributions, maximum likelihood estimators, statisticalmodellingtechniques
Knowledgeindata visualization toolssuch asPowerBI,plotly, R Shiny, etc.
When you join our team:
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 .
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, an d 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 .
Working Arrangement
Job ID: 130667073
Skills:
Data Factory, PostgreSQL, Tensorflow, Nosql, Docker, Flask, Python, Pyspark, Github, Sql, Git, Opencv, Gitlab, FastAPI, Azure, Kubernetes, Ocr, Etl, Github Actions, Blob Storage, Scikit-learn, ML Studio, pdf2image, YOLO, Pillow
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