Sr Data Scientist

Job Description

Sr Data Scientist
Description:

Permanent Full Time

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We are looking for a Senior 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 and 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. As a Senior Data Scientist, you will be a key leader within the core Group Customer technology team, with the responsibility to drive business transformation by leveraging technology, data, and analytics at scale. You will guide a high-performing team and collaborate with leadership to define and achieve business goals through data-driven innovation. You will also work closely with cross-functional teams of Data Scientists, Data Analysts, Data Engineers, Business Analysts, Solution Architects, and Product Owners.

What you will do:

Lead and drive the strategic vision for Data Science at the business unit by implementing and utilizing best practices and technologies.
Create and own predictive analytics to test the business unit’s direction and decision making.
Lead the development and deployment of sophisticated AI solutions for various business purposes, and ensure that the solutions are scalable and deliver measurable 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.
Perform 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.
Define and drive the data strategy for the Business Unit, ensuring its alignment with broader corporate goals and contributing to the long-term success of the organization.
Communicate 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 will bring:

Ph.D/MS in Data Science, Computer Science, Statistics, Applied Math, or any related discipline.
5+ years of experience in Data Science/Analytics, Engineering
Proficiency in Python & SQL is required. Familiarity with 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 player
Proven leadership and mentoring experience, with the ability to guide a junior data scientists and engineers to success while fostering a collaborative, high-performance culture.
Strong 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.
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The base salary for this position is between  $ 74000 – $137000 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