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Internship Data Science Trading Jobs in Florida (NOW HIRING)

Sidram Technologies

Data Scientist

Juno Beach, FL · On-site

Demonstrates strong communication and collaboration skills working with trading, operations, and ... Python Expertise: Advanced proficiency in Python with extensive experience in data science ...

Royal Caribbean Cruise Line

Data Scientist

Miami, FL · On-site

Communicate insights, assumptions, risks, and trade-offs in clear, concise, and executive-ready narratives. Qualifications / Knowledge / Skills: * 2-4 years of hands-on Data Science experience ...

NextEra Energy

Principal Data Scientist

Juno Beach, FL · On-site

Our team is skilled in market analysis, trading, risk management and delivering tailored customer ... Science, Research, and Technology Organization: NextEra Energy Marketing, LLC Relocation Provided:

Sierra Ventures

Senior Fraud Data Scientist

Miami, FL · On-site

$116.25 - $155/hr

As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach ... Partner with data science, risk operations, product, engineering, and customer support teams to ...

Two Six Technologies

Skillbridge Internship -IO

Doral, FL · On-site

$14 - $18.50/hr

Your unit Commander must authorize participation prior to start of internship. Career tracks ... Data Science, Machine Learning, Programming Eligibility: * Has served at least 180 days on active ...

Versant Media

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

... Science, or a related field * 1+ years of experience in data analytics, business intelligence, data ... Prior internship or work experience is preferred * Strong intellectual curiosity paired with ...

INSPYR Solutions

Data Analyst

Orlando, FL · On-site

$70 - $73/hr

Bachelor's or Master's degree in Statistics, Data Science, Economics, Mathematics, Computer Science ... trade-offs clearly. * Experience presenting technical findings to non-technical stakeholders ...

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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.

What are the most commonly searched types of Data Science Trading jobs in Florida? The most popular types of Data Science Trading jobs in Florida are:
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Internship Data Science Trading jobs near you

Urgent On-Site Opening for Data Scientist - Juno Beach, FL - Need Local to FL Only.

SmartIPlace

Juno Beach, FL • On-site

Contractor

Re-posted 4 days ago

Job description

Note :

  • Need Local to FL with FL, I’d Only.
  • Need local within 40 miles.

Position Overview :

  • Candidate must have 2+ years’ experience in energy market applications - (energy and utilities).
  • Client is seeking a Data Scientist (Power Marketing & Machine Learning) to join a large-scale project with an enterprise organization in the energy and utilities industry.
  • This role will focus on developing and deploying advanced analytics and machine learning models that optimize trading, forecasting, and decision-making across power markets.
  • The ideal candidate combines deep technical expertise in data science and AI with strong quantitative and energy market domain knowledge.

Key Responsibilities :

Machine Learning & Advanced Analytics-

  • Design, develop, and deploy ML models for price forecasting, load prediction, and portfolio optimization.
  • Implement supervised, unsupervised, and reinforcement learning techniques to support trading and operational decisions.
  • Apply LLMs and RAG (Retrieval-Augmented Generation) frameworks to automate reporting, market analysis, and insight generation.
  • Fine-tune and evaluate generative AI models for quantitative and text-based analytics.

Agentic & Autonomous Decision Systems-

  • Develop intelligent trading assistants or agentic frameworks capable of monitoring and responding to real-time market data.
  • Implement planning, memory, and multi-agent collaboration features for autonomous analytical systems.
  • Define ethical and operational guardrails for autonomous AI tools.

Forecasting & Quantitative Modeling-

  • Build and maintain time-series forecasting models (ARIMA, LSTM, XGBoost, Prophet) for load, generation, and market price prediction.
  • Conduct optimization, scenario analysis, and stochastic modeling for trading, hedging, and dispatch strategy.
  • Integrate external data sources such as weather, ISO/RTO market feeds, and renewable output into predictive models.

Data Engineering & Infrastructure-

  • Develop and manage ETL/ELT pipelines using dbt, Airflow, or Prefect.
  • Work with cloud data platforms such as Databricks, Snowflake, and vector databases (FAISS, Pinecone, Weaviate).
  • Ensure data quality, lineage, and compliance within governed environments.

Analytics, Visualization & Communication-

  • Build intuitive dashboards and visual analytics using Power BI, Tableau, or Plotly.
  • Define KPIs to measure trading performance, market exposure, and forecast accuracy.
  • Translate complex analytical results into actionable insights for traders and executive leadership.

Statistical & Mathematical Modeling-

  • Apply advanced statistical and optimization techniques for regression, classification, and risk modeling.
  • Conduct uncertainty quantification and correlation analysis across power and commodity assets.
  • Analyze non-linear dependencies and volatility clustering in market behavior.

Required Qualifications :

  • Master’s or Ph.D. in Data Science, Computer Science, Finance, Engineering, Applied Mathematics, or related field.
  • Minimum 6+ or more years of experience in machine learning or advanced analytics, with at least 2 years in energy market applications.
  • Strong proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch) and SQL.
  • Experience deploying ML models in AWS, Azure, or GCP environments.
  • Solid foundation in statistics, linear algebra, and optimization.

Preferred Qualifications :

  • Expertise in energy and power market dynamics, including generation, transmission, and ISO/RTO market operations (PJM, ERCOT, MISO, CAISO).
  • Familiarity with trading products such as FTRs, PPAs, futures, and swaps.
  • Experience modeling LMP, congestion, renewables, and carbon markets.
  • Background in AI agent frameworks (LangChain, LlamaIndex, CrewAI) or LLM-based automation.
  • Strong communication skills and the ability to operate effectively in fast-paced, high-stakes environments.
     
Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media

Facebook

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