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 new Data Scientist, MFL Robotics, in our Toronto location.

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 pipeline 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 pipeline inspection tool specifications.
• Create/update models for detection, sizing, and classification of pipeline 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 pipeline inspection 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

• 5+ years of MFL data science experience in the pipeline inspection industry, including knowledge of relevant standards API 1163 etc.
• Analytical skills with ability to connect obstacles and opportunities, in a cross functional environment, to business needs.
• Knowledge of relevant languages (python, etc) and experience with algorithm development.
• Experience with machine learning.
• Working knowledge of MFL sensor systems.
• Excellent written and verbal communication skill.

Considered Assets:

• Experience with embedded product development in inline inspection or other industries.

Education

• Minimum of Master’s degree in Data Science or equivalent.

Approximate salary range: $100,000 - $130,000 per annum. The offer will be commensurate with job-related skills, experience and qualifications including relevant education and training.

We are proud to offer our Employees:

• A technical, professional, and challenging work environment.
• Competitive wages and a bonus program based on company & individual performance.
• Engaging company culture that encourages teamwork and rewards both team and individual achievements.
• Extended Healthcare benefits coverage (including dental & vision), life insurance, AD&D insurance alongside flexible work hours and paid time off.

If interested, please submit your application including resume and cover letter on .

As part of our recruitment process, we may use artificial intelligence–enabled tools to support administrative and screening activities (such as resume review and candidate matching). These tools are used to assist, not replace, human decision-making. All hiring decisions are made by qualified individuals and are subject to human review.

We are committed to fair, equitable, and inclusive hiring practices. Our use of technology is designed to support objective, job-related assessments and does not involve automated decision-making that produces final employment outcomes without human oversight. Personal information is collected, used, and retained in accordance with applicable privacy legislation.

As part of this commitment, 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.