Data Scientist

Data Scientist, MFL Robotics

Intero Integrity Services is the world’s only inspection and industrial services specialist to combine innovative technologies, critical insights, state-of-the-art equipment and advanced data management with a streamlined project approach. We are an agile company with a sizable backing and an enhanced management team dedicated to redefining asset performance. Intero is committed to significantly increasing the lifetime and performance of industrial assets and installations. By combining our extensive range of inspection and industrial solutions, we can create unique packages and turnkey solutions, adding value to keeping industrial assets safe and efficient.

Due to our rapid growth, Intero Integrity Services is hiring for a Data Scientist, MFL Robotics, in our Toronto, Calgary or Houston locations.

Position Summary

Reporting to Global Software Manager, this role involves developing and maintaining analytical models for anomaly detection, sizing, and classification, as well as creating Unity plots and technical reports in accordance with API 1163 standards. The successful candidate will collaborate closely with internal teams—including R&D, Engineering, Data Analysis, and Sales—to drive continuous improvement in tool performance, data interpretation, and client deliverables.

Responsibilities

• Analyze and incorporate client dig results into sizing curves, prepare technical reports on findings
• Create and maintain Unity plots as per API 1163 for all data collected
• Collaborate with R&D to maintain and improve tool specifications
• Create / update models for detection, sizing, and classification of anomalies.
• Collaborate with stakeholders from engineering, data analysis, sales on priorities and plans
• Participate in hardware / software development activities and influence design direction where relevant
• Generate improvement proposals based on data and guide data driven decision making with stakeholders
• Maintain market awareness of trends, advancements and / or new technologies, challenge status quo
• Bridge gaps between results and expectations, attend client meetings, prepare and present findings

What you should bring to the team :

Experience

Considered Assets :

Education

We are proud to offer our Employees :

We are committed to fostering an inclusive and accessible recruitment process for all applicants. Accommodation is available upon request at any stage of the hiring process to ensure equal opportunity and full participation for candidates with diverse needs. As an inclusive employer, we value and celebrate the unique contributions of individuals from all backgrounds, and we strive to create a workplace where everyone feels welcomed, respected, and supported.