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 ...
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 ...
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 ...
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 ...
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Data Science Internship information
See salary details
$12.02 - $14.75
7% of jobs
$17.44 is the 25th percentile. Wages below this are outliers.
$14.75 - $17.48
18% of jobs
$17.48 - $20.21
22% of jobs
The median wage is $20.64 / hr.
$20.21 - $22.95
17% of jobs
$24.59 is the 75th percentile. Wages above this are outliers.
$22.95 - $25.68
18% of jobs
$25.68 - $28.41
8% of jobs
$28.41 - $31.14
5% of jobs
$31.14 - $33.87
1% of jobs
$33.87 - $36.60
0% of jobs
$36.60 - $39.34
2% of jobs
$39.34 - $42.07
1% of jobs
$12
$22
$42
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What types of projects or tasks can I expect to work on during a data science internship?
As a Data Science Intern, you may be involved in projects such as analyzing datasets to uncover trends, building and testing predictive models, or creating visual reports to help stakeholders understand key findings. Interns often support ongoing research, assist with data cleaning and preprocessing, and collaborate on team projects under the guidance of experienced data scientists. Depending on the company's focus, you might also contribute to deploying models or automating data pipelines. These tasks are designed to give you practical experience with real-world data challenges and help develop your technical and analytical skills.
What are the key skills and qualifications needed to thrive in a data science internship, and why are they important?
To thrive as a Data Science Intern, you need a solid understanding of statistics, data analysis, and programming languages such as Python or R, often supported by progress towards a degree in a quantitative field. Familiarity with tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau, Power BI) is highly valued. Strong problem-solving skills, eagerness to learn, and effective communication are essential soft skills for this role. These abilities are crucial for drawing insights from data, collaborating with technical and non-technical colleagues, and contributing meaningfully to projects.
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Cities with the most Data Science Internship job openings:
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The most popular types of Data Science jobs are:
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States with the most job openings for Data Science Internship jobs include:
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Data Science Internship (Governance)
Lake Mary, FL
Internship
Re-posted 22 days ago
Job description
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 earlycareer 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, riskfocused 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, JSOX 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.