Data Science Associate; Governance

Data Science Associate (Governance)
Company Overview
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.

Role Overview
We are seeking a motivated and analytical Data Science Associate to support Compliance, Legal, Assurance, and Governance functions by embedding data analytics into compliance, 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 compliance reviews, audits, governance and testing
Support planning, risk assessments, fieldwork, reporting, and continuous monitoring through analytics
Build repeatable and scalable analytics routines to increase testing coverage, and dashboarding visualization; organize Intranet, policies and procedures and enhance efficiency of such processes
Apply automation and analytics tools including Python, Power BI, Microsoft tools, and GenAI-enabled applications
Support Compliance, 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 assurance standards
Collaborate with Compliance, Legal, Internal Audit, Finance, IT and Operations, 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 Compliance, Legal, Assurance and Governance 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 Compliance, Legal, Internal Audit, risk management, and controls assurance processes
Hands-on experience applying data science to real-world business, governance and compliance challenges
Development of analytics, automation, and continuous monitoring solutions
Experience working cross-functionally with different 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.