Data Science Expert
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Key skills for this role
About the Role
ENEC Operations seeks a Data Science Expert to lead teams in delivering advanced analytics, AI, and predictive modeling for nuclear operations. Requires a Master's degree and 8+ years of experience in data science, with expertise in machine learning and regulated environments.
Key Skills for This Role
Responsibilities
- Drive data science and analytics strategy for nuclear operations
- Oversee design, development, and deployment of advanced models for reactor performance, fuel cycle optimization, outage prediction, and anomaly detection
- Lead, mentor, and develop multidisciplinary teams of data scientists and engineers
- Collaborate with plant, fuel, engineering, and regulatory teams to embed analytics into operational workflows
- Ensure all analytics activities adhere to nuclear safety culture, regulatory requirements, and data governance
- Monitor and improve impact of analytics on plant reliability, fuel efficiency, and business outcomes
- Apply advanced expertise in statistical modeling, machine learning, and AI to develop solutions for complex nuclear analytics challenges
- Lead resolution of ambiguous and high impact analytics issues
- Architect, validate, and deploy digital twins, predictive maintenance models, and fuel cycle optimization tools
- Define and communicate analytics vision and multi year roadmap for nuclear operations
- Advise executive leadership on leveraging AI and advanced analytics
- Lead adoption of MLOps best practices and automation
Requirements
- Master's degree in data science, computer science, engineering, or related discipline
- 8 years of relevant experience
- Proven experience leading data science teams in regulated environments
- PhD or equivalent preferred
- Experience in nuclear, energy, or highly regulated sectors preferred
- Relevant certifications in AI/ML, MLOps, and Data Governance
Full Job Posting
Job Purpose
- The Data Science Expert leads and develops high performing teams of data scientists and data engineers to deliver advanced analytics, AI, and predictive modeling solutions for ENEC’s nuclear operations.
- This role ensures technical excellence, compliance with nuclear safety standards, and delivery of actionable insights.
Key Activities, Responsibility & Accountability
- Drive the data science and analytics strategy for nuclear operations.
- Oversee design, development, and deployment of advanced models for reactor performance, fuel cycle optimization, outage prediction, and anomaly detection.
- Lead, mentor, and develop multidisciplinary teams of data scientists and engineers.
- Collaborate with plant, fuel, engineering, and regulatory teams to embed analytics into operational workflows.
- Ensure all analytics activities adhere to nuclear safety culture, regulatory requirements, and robust data governance.
- Monitor and improve the impact of analytics on plant reliability, fuel efficiency, and business outcomes.
- Apply advanced expertise in statistical modeling, machine learning, and AI to develop solutions for complex nuclear analytics challenges.
- Lead resolution of ambiguous and high impact analytics issues.
- Utilize deep technical know how to architect, validate, and deploy digital twins, predictive maintenance models, and fuel cycle optimization tools.
- Define, communicate, and continuously refine the analytics vision and multi year roadmap for nuclear operations.
- Advise executive leadership on leveraging AI and advanced analytics.
- Lead adoption of MLOps best practices for continuous monitoring, retraining, and governance.
Qualifications
- Min Master’s degree in data science, computer science, engineering, or related discipline.
- Proven experience leading data science teams in regulated environments.
- Pref PhD or equivalent. Experience in nuclear, energy, or highly regulated sectors.
- 8 years of relevant experience.
- Relevant certifications in AI/ML, MLOps, and Data Governance.
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