Robotic Process Automation (RPA) Engineer

Robotic Process Automation (RPA) Engineer - Fuel Channel Inspection in Digital Innovation team

AtkinsRéalis is one of Canada's largest private sector nuclear engineering groups. We have been providing a wide range of services to the nuclear industry in Canada and around the world since for more than 60 years. We are proud to be the steward of Canadian CANDU nuclear technology. 

Objective: Enhance efficiency and accuracy of fuel channel inspections by automating data collection, analysis, and reporting.

• Contribute to nuclear safety and operational efficiency.
• Work in a collaborative environment with multidisciplinary teams.
• Opportunity to innovate and drive process improvements.

Location – Mississauga, ON

Your role within the team:

Process Understanding:

Gain a deep understanding of the current manual inspection process for calandria tubes (CT) and pressure tubes (PT).

Collaborate with inspection teams to identify pain points, bottlenecks, and opportunities for improvement.

Data Collection Automation:

Develop RPA bots to automate data collection during inspections:

• Extract measurements (e.g., tube dimensions, gap distances) from sensors and gauges.
• Capture visual data (images, videos) for defect detection.
• Integrate with existing inspection tools (e.g., Eddy Current Testing, Ultrasonic Testing).
• Ensure data quality, consistency, and real-time synchronization.

Efficient Data Processing:

Implement data preprocessing pipelines:

• Clean and normalize raw data.
• Handle missing values and outliers.
• Convert data into structured formats (e.g., CSV, databases).
• Explore compression techniques to reduce data storage requirements (if necessary).

Predictive Modelling:

Leverage data science skills to build predictive models:

• Predict tube degradation based on historical data.
• Estimate remaining useful life (RUL) of tubes.
• Identify early signs of defects or anomalies.
• Collaborate with domain experts to validate model accuracy.

Process Optimization:

Propose innovative ways to streamline inspections:

• Optimize inspection schedules.
• Minimize downtime during outages.
• Reduce manual intervention.
• Aim for a 5x reduction in inspection time while maintaining safety standards.

Reporting and Visualization:

• Create automated reports summarizing inspection results.
• Visualize trends, anomalies, and critical findings.
• Provide actionable insights to maintenance teams.

Why choose AtkinsRéalis as an employer?

Because we offer:

• The opportunity to work on various major projects for internal and external clients.
• An exciting environment where work-life balance is important.
• A wide array of learning and development opportunities.
• Competitive pay, flexible benefits, an employee share plan, and a defined contribution pension plan.
• A work environment focused on health and safety.

The ideal candidate:

• Bachelor's or Master's degree in Computer Science, Data Science, or related field.
• Proficiency in RPA tools (e.g., UiPath, Automation Anywhere).
• Strong programming skills (Python, R, or similar).
• Knowledge of statistical analysis, machine learning, and predictive modelling.
• Familiarity with nuclear safety protocols and CANDU or Heavy Water reactor systems (preferred).

Are you up for this challenge? Apply today and join our team to help engineer a Better Future for our Planet and its People.

At AtkinsRéalis, we seek to hire individuals with diverse characteristics, backgrounds, and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion, or disability, but enriches itself through these differences.  
 

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Appropriate accommodations will be provided upon request throughout the recruitment and hiring process as required by Company policy and the Accessibility for Ontarians with Disabilities Act (AODA).

Successful applicants will be notified about AtkinsRéalis’ accommodation policies at the time the employment offer is extended, and the information will be shared with new personnel during the onboarding process.