Job Description

Data Science Associate

At Mitsubishi Power, we're not just building better clean energy technologies; we're architecting a better future. Our team is boldly redefining power generation to accelerate the world's energy transition. We operate as one team, pushing toward our vision of the future. We value problem solvers, prioritize collaboration, and support each other in an inclusive culture built on accountability and authenticity by demonstrating our values: Safety, Family, Innovative, Inclusive, Accountable & Courageous. Together, we’re building the future we all aspire to - making net zero a reality.

We are seeking a motivated and analytical Data Science Associate to support Internal Audit, Assurance, and Governance functions by embedding data analytics into audit, risk, and controls activities across the organization. This early‑career role is designed for candidates interested in applying data science, automation, and emerging technologies to improve assurance effectiveness, enhance control monitoring, and advance the use of continuous, risk‑focused oversight.

Key Responsibilities

• Design, develop, and execute data analytics to support internal audits, reviews, and control testing
• Support audit planning, risk assessments, fieldwork, reporting, and continuous monitoring through analytics
• Build repeatable and scalable analytics routines to increase testing coverage and efficiency
• Apply automation and analytics tools including Python, Power BI, Celonis Process Intelligence, Microsoft tools, and GenAI-enabled applications
• Support J‑SOX and controls assurance activities through data extraction, testing, evidence analysis, and remediation validation
• Evaluate control design and operating effectiveness using data-driven techniques
• Ensure analytics are traceable, defensible, and aligned with audit and assurance standards
• Collaborate with Internal Audit, Finance, IT, Operations, Compliance, and Legal stakeholders

Other Duties & Responsibilities

• Comply with all security, ethics, confidentiality, and data governance requirements
• Support development of reusable analytics, templates, and documentation to scale analytics capabilities
• Contribute to continuous improvement initiatives within Internal Audit and related functions
• Communicate findings clearly and effectively with peers, management, and stakeholders
• Maintain the highest level of integrity, professionalism, and accountability
• Perform other related duties as required

Learning Outcomes

• Exposure to internal audit, risk management, and controls assurance processes
• Hands-on experience applying data science to real-world business and compliance challenges
• Development of analytics, automation, and continuous monitoring solutions
• Experience working cross-functionally with audit, finance, IT, and operations teams
• Mentorship and professional development within assurance and analytics disciplines

Requirements

• Currently enrolled in a Bachelor’s or Master’s program in Data Science, Computer Science, Statistics, Data Analytics, Software Engineering, or a related field
• Strong analytical and problem-solving skills with attention to detail
• Experience with at least one modern programming language; Python preferred
• Working knowledge of data analysis tools, databases, and Microsoft Office applications
• Ability to interpret technical and business documentation and communicate findings effectively
• Adaptable, curious, and proactive mindset with interest in a 1–2 year development experience
• Ability to meet physical requirements including standing, walking, bending, and lifting up to 25–50 pounds in varying environments

Mitsubishi is an Equal Employment Opportunity (EEO) employer actively seeking to diversify the workforce and is committed to a policy of equal employment opportunity. Therefore, all qualified applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally recognized protected basis under applicable law, are strongly encouraged to apply.