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Internship Data Science Trading Jobs in Florida (NOW HIRING)

MHI

Data Science Internship (Governance)

Lake Mary, FL · On-site

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 ...

Conch Technologies Inc

Data Scientist

Orlando, FL · On-site

Evaluate and apply trade-offs in model development and deployment to balance accuracy, performance ... Proven experience building and deploying production-grade data science solutions * Experience ...

Socket.dev

Data Scientist III- Operations

Clearwater, FL · On-site

$120 - $170/hr

... data science, machine learning, or quantitative analytics experience. Relevant internship, co‑op, or graduate research may count toward experience. * Hands‑on experience with SQL on a modern ...

New

AllSTEM Connections

Data Scientist

Orlando, FL · On-site

$107K/yr

In this role, you will bridge the gap between theoretical data science and real-world operational ... Technical Leadership & Mentorship (10%) • Lead and manage a pipeline of talent, including interns ...

Atlas Air

Staff Data Scientist

Miami, FL · On-site

... involving complex trade-offs under uncertainty. You will collaborate with leaders across our ... Lead complex data science projects from conception to implementation, working with various ...

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All JobsData Science Trading JobsInternship Data Science Trading JobsInternship Data Science Trading Jobs in Florida

Internship Data Science Trading information

What is the difference between Internship Data Science Trading vs Data Analyst?

AspectInternship Data Science TradingData Analyst
Required CredentialsRelevant coursework, basic programming skills, possibly some certificationsDegree in data-related field, analytical skills, proficiency in data tools
Work EnvironmentFinancial firms, trading floors, collaborative teamsVarious industries, offices, cross-functional teams
Employer & Industry UsageFinance, trading firms, investment banksMultiple sectors including finance, marketing, healthcare

Internship Data Science Trading focuses on applying data science skills to trading strategies within financial firms, often involving real-time data analysis. Data Analysts work across industries analyzing data to inform business decisions. While both roles require analytical skills and familiarity with data tools, internships are more training-oriented, whereas Data Analysts are more experienced roles in data interpretation and reporting.

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Internship Data Science Trading jobs near you

Data Science Internship (Data Platforms)

MHI

Lake Mary, FL • On-site

Internship

Re-posted 2 days ago

Job description

Data Science Associate
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
The Data Scientist Intern supports Mitsubishi Power's IT Data Platforms team by contributing to data quality, data cataloging, and automation efforts within enterprise data environments. This hands-on internship provides practical experience working with cloud-based data platforms, centralized data repositories, and Microsoft Power Platform tools. The role collaborates with Data Platforms leadership, Enterprise Applications, and IT stakeholders to support scalable, high-quality data solutions used across the business.
Key Responsibilities
  • Assist with data quality assessments across enterprise data sources, identifying gaps, inconsistencies, and improvement opportunities.
  • Support data catalog activities including documentation of datasets, metadata, data definitions, and lineage.
  • Validate, organize, and prepare ingested data within centralized platforms such as data lakes and structured repositories.
  • Contribute to automation efforts to surface data into Microsoft Power Apps and Power Automate workflows.
  • Perform data validation and reconciliation to ensure accuracy and completeness between source and ingested data.
  • Assist with development of basic dashboards, reports, and visualizations to support data visibility and usage.
  • Support testing and user acceptance activities to validate data processes and automation solutions.
  • Maintain tracking artifacts such as data quality logs, catalog trackers, and automation inventories.
  • Document data processes, standards, and learnings to support long-term platform sustainability.

Requirements
  • Assist with data quality assessments across enterprise data sources, identifying gaps, inconsistencies, and improvement opportunities.
  • Support data catalog activities including documentation of datasets, metadata, data definitions, and lineage.
  • Validate, organize, and prepare ingested data within centralized platforms such as data lakes and structured repositories.
  • Contribute to automation efforts to surface data into Microsoft Power Apps and Power Automate workflows.
  • Perform data validation and reconciliation to ensure accuracy and completeness between source and ingested data.
  • Assist with development of basic dashboards, reports, and visualizations to support data visibility and usage.
  • Support testing and user acceptance activities to validate data processes and automation solutions.
  • Maintain tracking artifacts such as data quality logs, catalog trackers, and automation inventories.
  • Document data processes, standards, and learnings to support long-term platform sustainability.

Learning Outcomes
  • Gain hands-on experience with enterprise data platforms, including data lakes and cloud-based environments, understanding how data supports business operations.
  • Develop core data skills in data quality, validation, cataloging, and metadata management using real-world datasets.
  • Apply analytics and automation tools such as Excel, SQL, and Microsoft Power Platform to support business processes and workflows.
  • Strengthen problem-solving and communication skills by working cross-functionally and translating data insights into clear, actionable outcomes.

Mitsubishi Power 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.

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