Data Scientist - Cyber & Physical Security (IT Data Scientist)

Bruce Power, Canada

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Job Posting Start Date:

2025-05-21

Job Posting End Date:

2025-06-04

At Bruce Power, you’ll experience the meaningful work of advancing Ontario’s clean energy future and medical isotope innovation while contributing to a culture of excellence. Step into an inclusive and dynamic environment that values collaboration, encourages bold ideas and empowers you to make a real difference.

From safely delivering clean, reliable power to families and businesses across the province and cancer-fighting medical isotopes around the world to supporting challenging and innovative nuclear projects like our multi-year Life Extension Program, we offer interesting and impactful opportunities. Ongoing training and development are part of every job, providing constant growth and skill-building potential.

Be a part of the team — our future is bright!

Our Information Security Division is currently seeking an IT Data Scientist specializing in Cyber and Physical Security. The Information Security division is accountable for safeguarding Bruce Power's digital assets and ensuring the security of our information systems. We focus on prevent, detect, and respond capabilities to continuously improve security measures and collaborate across the enterprise to improve the reliability and security of our systems.

The IT Data Scientist plays a crucial role in leading and developing data models, guiding analytics in alignment with corporate goals, and steering the organization in the realms of artificial intelligence and machine learning. Additionally, they oversee enterprise data quality and metadata management, contributing to the achievement of divisional and departmental objectives. This position involves designing and constructing analytical models that yield data-driven insights and effectively communicating these insights to Senior Management with clear and concise recommendations and decisions.

This is a permanent, full-time position which offers a competitive benefits, compensation and pension package and is located on site in Tiverton, Ontario.

Key Responsibilities:

  • Provide leadership to support management in the planning and control of the Company’s data models by coordinating the development, maintenance and documentation systems, advanced analytical models, artificial intelligence-driven models, strategies, policies and computational techniques.
  • Develops, recommends and monitors solutions derived from data analytics mined from office information management systems and external data and information points.
  • Collaboratively work with business users, line unit support staff, consultants and suppliers to identify innovative and strategic opportunities for efficiencies that result in the potential of automation of processes, artificial intelligence and other solutions.
  • Influence others without authority to drive opportunities and gain efficiencies in processes to enable more data to be captured and mined for future analytical purposes.
  • Develops solutions deduced from data and information to better enable the line organization and other divisions across the company in making effective decisions which includes probabilistic systems.
  • Take a lead role on project teams to resolve data quality and metadata issues and provide guidance and direction to implement solutions.
  • Provide training to Data Management as well as Business Systems team staff on data analysis, analytics, data mining, and in general using data to inform decision-making.
  • Perform technical supervision of assigning/checking project work for junior team members with follow up/feedback to the appropriate
  • Monitor and continually identify and develop solutions following implementation of systems, controls, solutions and business recommendations.
  • Establish, influence and work with a network of internal and external contacts to secure, protect and advance the interests of Bruce Power.
  • Work with other organizations (internal/external, utility/non-utility) to establish areas of partnership for the mutual benefit of all.
  • Develop and assess the impact of new business opportunities (self-identified and externally identified) in an effort to drive continual business improvement solutions.
  • Evaluate internal processes and strategic directions in terms of risk management and overall commercial impact, making conclusive recommendations to the Bruce Power Senior Management Team and Executive Team, as necessary in accordance with the data governance standards established by the Company.
  • Evaluate alternative processes to accomplish the company’s strategic goals and determine which direction provides an optimal risk adjusted return to the organization.
  • Develop succinct, graphical presentations with analytical solutions and effectively communicate to Management (up to and including Executive Management).
  • Keep abreast of current big data and analytical methodologies and develop expertise in emerging technologies and methodologies.
  • Facilitate the processes for the development of the quantification of risks and benefits of innovative changes to Bruce Power processes, facilities and infrastructure, technological advancements, artificial intelligence, automation, and other innovative options.
  • Develop a framework for the evaluation of these processes and coordinate the provision of information, analysis, recommendations and documentation in their support.
  • Provide functional advice on strategy, tactics and processes, and attempt to ensure compliance in this regard.
  • Maintain an awareness of newly implemented analytically driven solutions and consult on strategies for exploiting opportunities.
  • Work closely with line of business stakeholders to understand and model business strategy, identify enabling security capability needs and new opportunities to inform outcome-driven investments.
  • Develop strategies and roadmaps to support desired business outcomes enabled through new or changed security capabilities, and sustainably manage the landscape of security solutions
  • Perform other duties as required.

Knowledge and Skills:

  • Solid conceptual, analytical and strategic thinking in the development and recommendation of various models and solutions.
  • Advanced programming skills with ability to apply statistical models.
  • Requires knowledge and ability to develop artificial intelligence applications including machine learning.
  • Must be able to interpret and coordinate information and processes associated with mined data and information.
  • Must possess strong data visualization skills accompanied with the ability to convert data into a business story.
  • Requires mastery of English, both oral and written, to communicate effectively with others, and to prepare models, reports, proposals and presentations.
  • Requires experience in a commercial environment, exhibiting advanced applied statistical and analytical skills and respectable knowledge of business intelligence methodologies.
  • Requires experience to have led a data analytics project from start to end, including leading the team, designing the analytics model, confirming, curating, and cleansing the data, validating the model and the analytical output, and preparing and delivering the communication to Senior Management with recommendations.
  • Requires extensive experience with using common data science toolkits and applications along with proficiency in using query languages and data governance. Expertise in R, SAS, Python, SQL, MatLab, Hive, Pig, and Spark are considered essential
  • Proficiency and expertise in Big Data technology and analytic tools.
  • Experience in validating the model and model output.
  • Requires practical experience to have gained an understanding of nuclear generation station operations, the utility industry and power generation in particular, or an equivalent industry and their internal business processes.
  • Requires experience to have a flexible and responsible approach to work, to be highly self-motivated, and to have a high degree of personal initiative and creativity.
  • Requires excellent team working skills and the ability to lead teams

Education and Experience:

  • This knowledge is considered to be gained by completion of a four (4) year university degree in Analytics, Mathematics, Statistics, Information Technology, Computer Science, Software Development, Artificial Intelligence, Engineering, Finance, or a related and relevant field of study.
  • 6 years up to and including 8 years is considered necessary to gain this experience
  • Experience analyzing large datasets, including telemetry from cybersecurity and physical security systems, is highly desirable.

Are you ready for a change?

Please complete the online application and attach a cover letter and resume, indicating your education and experience as it relates to this opportunity. We look forward to receiving your application and will be in contact with you, should you be selected for an interview. 

The successful candidate will be selected based on related and required education, experience, knowledge and skills, a competency-based interview, and background reference checks.

As one of Canada’s Best Diversity Employers, Bruce Power is committed to promoting a culture of diversity, equity and inclusion where workers feel valued for their uniqueness and are recognized for their individual differences, talents and skills. Diversity, equity and inclusion is critical to our business as we recognize that our people are our greatest resource. To support our inclusive workplace culture, we welcome and encourage everyone to apply.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Big Data Business Intelligence Computer Science Data analysis Data Analytics Data governance Data management Data Mining Data quality Data visualization Engineering Finance Machine Learning Mathematics Matlab Python R SAS Security Spark SQL Statistics

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Startup environment

Region: North America
Country: Canada

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