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Company: Canada Life
Location: London, ON – Toronto, ON
Job description: Permanent Full Time–We are hiring a Data Scientist.Role DescriptionWe are looking for a Data Scientist with strong expertise in AI engineering, machine-learning, data mining, and information retrieval to design, prototype and build the next generation analytics, machine learning and AI services.Canada Life is one of the top 3 Insurance carriers in Canada who is part of a strong and mature global financial company. Canada Life has embarked on a transformation that is changing the way we work and how we help our customers. You will be part of the core Group Customer technology team with a strong commitment to transform our business with full leverage technology, data and analytics. You will work alongside with a very supportive senior leadership and great culture. You will also work closely with our multi-functional team of Data Scientists, Data Analysts, Data Engineers, Business Analysts, Solution Architects, and Product Owners.What you’ll do:Partner with the team member to shape the vision for Data Science at the business unit by implementing and utilizing best practices and technologies.Create and/or oversee predictive analytics to test the business unit’s direction and decision making.Leverage advanced techniques to develop and deploy AI solution for various business purposes. Deploy and disseminate tools, techniques and products that extend our capabilities and deliver new business value.Develop a deep understanding of current and potential customers and translating that understanding into actionable insights that drive business performance.Provide expertise in data science, machine learning, artificial intelligence & software engineering.Lead the design, development, and maintenance of AI systems and applications using machine learning techniques, neural networks, and deep learning algorithms on the Microsoft Azure platform.Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to identify and solve complex problems, providing expert guidance and oversight.Conduct research and stay up-to-date on emerging trends and technologies in AI and machine learning, particularly in relation to the Azure ecosystem, to ensure the company remains at the forefront of innovation.Develop and implement advanced algorithms to improve the efficiency and performance of our AI systems, ensuring seamless integration with Azure services.Analyze and process large datasets to extract meaningful insights and patterns, leveraging Azure and Databricks’ processing capabilities.Oversee model training, validation, and testing to ensure the accuracy and reliability of our AI systems, using Azure Machine Learning and other relevant API, SDK and services.Design and implement correct endpoints, ad groups, and service accounts within the Azure environment to ensure secure and efficient access to AI services.Lead the implementation of end-to-end solutions based on the suggested architecture provided by the solution architect.Participate in code reviews and contribute to the development of best practices for AI engineering.Partner with internal senior leaders to ensure these business initiatives are executed with optimal chance of success and adoption.Advocate for Data and Analytics and champion change, driving adoption across business units and functions.Lead the delivery of priority initiatives each year, acting as a SME.Develop and own the data strategy and plan for the Business UnitCommunicate complex technical concepts and results to both technical and non-technical stakeholders, highlighting the benefits and potential of Azure-based AI solutions.Define data foundations, architecture, governance, and data management practices for the Business UnitIdentify business problems, that if remedied, will return significant value using data in partnership with data owners and advisors.What you bring:Ph.D/MS in Data Science, Computer Science, Statistics, Applied Math, or any related discipline.2+ years of experience in Data Science/Analytics, EngineeringExperience Python & SQL is required. Background in other programming is beneficial.Experience in different AI applications, e.g. NLP, marketing, image recognition, etc.Experience working with large data sets, simulation/optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)In-depth knowledge of Microsoft Azure platform, including experience with Azure Machine Learning, Azure Cognitive Services, and other relevant AI services.Familiarity with service endpoints, ad groups, and service accounts to ensure a secure and efficient working environment.Ability to implement end-to-end solutions based on a provided architecture, leveraging Azure’s wide range of services and capabilities.Experience working in startup environment or organizations with an agile culture.Professional attitude and service orientation; superb team playerStrong written and verbal communication skills along with strong desire to work in cross-functional teams.Strong problem-solving skills to mature data governance, data management, and data architecture across the Business Unit.Able to build a sense of trust and rapport that creates a comfortable & effective workplace▪ Attitude to thrive in a fun, fast-paced environment.This is a hybrid role with a minimum of 2 days/week in office. Given the size and scope of our organization, we have the flexibility for this position to be located in the following head office locations: Toronto, London, Winnipeg.–The base salary for this position is between $61,900 – $ 114,500 annually. This represents base salary only and does not represent other variable compensation components of our total compensation ( i.e. annual bonus, commission etc). If you are selected to move forward in our recruitment process, your recruiter will be able to discuss additional details of our total rewards program with you.Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis.Be your best at Canada Life- Apply today!Being a part of Canada Life means you have a voice. This is a place where your unique background, perspectives and talents are valued, and shape our future success.You can be your best here. You’re part of a diverse and inclusive workplace where your career and well-being are championed. You’ll have the opportunity to excel in your way, finding new and better ways to deliver exceptional customer and advisor experiences.Together, as part of a great team, you’ll deliver on our shared purpose to improve the well-being of Canadians. It’s our driving force. Become part of a strong and successful company that’s trusted by millions of Canadians to do the right thing.Canada Life serves the financial security needs of more than 13 million people across Canada, with additional operations in Europe and the United States. As members of the Power Financial Corporation group of companies, we’re one of Canada’s leading insurers with interests in life insurance, health insurance, investment and retirement savings. We offer a broad portfolio of financial and benefit plan solutions for individuals, families, businesses and organizations.We are committed to providing an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of the communities in which we live, and to creating an environment where every employee has the opportunity to reach their potential.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 Canada Life policies. To request a reasonable accommodation in the application process, contact talentacquisitioncanada@canadalife.com.Canada Life would like to thank all applicants, however only those who qualify for an interview will be contacted.#LI-HybridRequisition ID: 643Category: Digital TechnologyLocation:Toronto, ON London, ON Winnipeg, MBDate: Mar 25, 2024If you are not finding suitable opportunities now, please click below to join our talent community!
Canada Life is seeking a Data Scientist with expertise in AI engineering, machine learning, data mining, and information retrieval to join their technology team. The role involves partnering with team members to shape the vision for Data Science, developing AI solutions for business purposes, and leading the design and deployment of AI systems on the Microsoft Azure platform. The ideal candidate will have a Ph.D. or MS in Data Science or related discipline, 2+ years of experience in Data Science/Analytics, and proficiency in Python and SQL. The position is based in Toronto, London, or Winnipeg, with a base salary ranging from $61,900 to $114,500 annually. Canada Life is committed to providing an inclusive and accessible environment for all employees and customers.
Title: Sales Associate
Location: Toronto, ON
Our client is looking for a motivated and customer-focused Sales Associate to join their team in Toronto. The ideal candidate will have excellent communication skills, a passion for providing exceptional customer service, and a strong understanding of retail sales.
Responsibilities:
– Greet and assist customers in a professional and friendly manner
– Answer customer inquiries and provide product information
– Process transactions accurately and efficiently
– Maintain a clean and organized work environment
– Meet and exceed sales targets
– Collaborate with team members to ensure customer satisfaction
Qualifications:
– Previous retail sales experience is preferred
– Excellent communication and interpersonal skills
– Ability to work in a fast-paced environment
– Strong attention to detail
– Basic computer skills
If you are a team player with a strong work ethic and a passion for sales, then we encourage you to apply for this exciting opportunity. Join our client’s dynamic team and take your sales career to the next level!
Expected salary: $61900 – 114500 per year
Job date: Wed, 27 Mar 2024 01:45:24 GMT
