Jobs · Engineering · Florida

Data Science Internship (Governance)

Mitsubishi Power Americas · Lake Mary, FL · 1 mo ago
EngineeringFull-time

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.

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

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

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