Business Data & AI Specialist

Role Overview

This position is for a Business Data & AI Specialist embedded within a Gas Transmission business, focusing on applying data science, AI/ML, and automation to support operational priorities such as reliability, compliance, asset management, and decision-making processes. The role partners with multiple operational teams including engineering, integrity, records, and asset management to define challenges and convert them into actionable data-driven solutions aligned with the business environment.

Key Responsibilities

• Collaborate with stakeholders across operations and engineering disciplines to identify and prioritize AI and data opportunities, translating operational concerns into analytic or modeling challenges while considering regulatory and operational contexts.
• Conduct data extraction, cleaning, transformation, and validation on both structured and unstructured data sources; perform exploratory analysis to identify trends, anomalies, and areas for improvement relevant to Gas Transmission operations.
• Develop, validate, and optimize machine learning models including classification, regression, clustering, and natural language processing tailored to specific business issues.
• Implement Generative and Agentic AI solutions incorporating prompt engineering and automation of workflows.
• Communicate analytical findings clearly to both technical teams and business stakeholders; prepare reproducible analyses, reports, and visual dashboards to facilitate day-to-day decisions.
• Maintain thorough documentation ensuring transparency, auditability, and seamless knowledge transfer.
• Write high-quality, clean Python code adhering to security and quality standards using shared repositories such as Git.
• Support model deployment and operational maintenance including monitoring model inputs, outputs, and performance metrics consistent with MLOps practices.
• Work alongside various departments including Data & Science Services (D&SS) and Technology Information Services (TIS) to ensure solutions meet operational demands and identify enhancement possibilities.
• Continuously update knowledge on practical advances in data science, machine learning, and AI relevant to the business sector.

Required Qualifications

• Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or closely related field.
• Extensive experience in applying data analytics, AI, and ML to business and operational challenges within the energy industry, demonstrating capability to convert business requirements into effective solutions.
• Advanced programming skills in Python and proficiency with key data science libraries.
• Strong foundation in applied machine learning techniques and statistical methods.
• Proven aptitude for effectively communicating insights and recommendations to diverse business audiences.
• Collaborative approach with experience working cross-functionally beyond technical teams.
• Capability to operate autonomously within defined project scopes and to contribute collaboratively to team efforts.

Preferred Qualifications

• Experience with Generative AI models, large language models, or agent-based AI workflows in business contexts.
• Working knowledge of SQL and experience managing operational or analytics databases.
• Competency in designing and developing dashboards or reports, such as with Power BI.
• Familiarity with cloud platforms, preferably Azure, but also AWS or GCP acceptable.
• Experience within regulated industries or sectors related to engineering, operations, or energy.
• Exposure to environments requiring rigorous documentation and audit compliance.

Additional Information

Net2Source supports an inclusive and diverse work culture focused on well-being, innovation, and personal growth. The organization is committed to equal employment opportunities free from discrimination based on various protected characteristics as mandated by law.