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Python Data Analysis Internship Jobs in Homestead, FL

Verition Group LLC

PM Engagement Analyst

Miami, FL · On-site

Foundational proficiency in Python and SQL * Comfortable working with large datasets and performing data analysis * Understanding of fundamental Long/Short Equity investing * Familiarity with factor ...

Contact Government Services, LLC

Data Engineer

Miami, FL

$109K - $131K/yr

... Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and technologies. -Strong understanding of the agile principles and ability to apply them. -Strong understanding of the ...

Troutman Pepper

Senior Data Engineer

Miami, FL · Remote

$101K - $137K/yr

Design and develop Power BI dashboards for data analysis and business reporting. * Creating Python scripts to automate internal tasks. * Creating Power Automate and Power Apps workflows for internal ...

Contact Government Services, LLC

Data Engineer

Miami, FL

$109K - $131K/yr

... Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and technologies. -Strong understanding of the agile principles and ability to apply them. -Strong understanding of the ...

Lennar

Data Analyst II

Miami, FL

Experience using tools like Python (pandas, NumPy) or R for complexdatamanipulation * Ability to ... Strong understanding of statistical methods (regression analysis, ANOVA, hypothesis testing)

SEI

Data and Analytics Consultant

Miami, FL

Experience and knowledge of programming and scripting languages, such as but not limited to Python ... Advanced Analytics and Data Visualizations * Extensive experience or knowledge of data ...

Lennar Homes

Principal Data Engineer

Miami, FL · On-site

... for analytics and AI initiatives. Lead architecture decisions for pipeline frameworks ... Python Data governance, security, and compliance concepts Incremental and CDC ingestion methods;

Lennar

Principal Data Engineer

Miami, FL · Remote

... for analytics and AI initiatives. * Lead architecture decisions for pipeline frameworks ... Proficiency in SQL and Python * Data governance, security, and compliance concepts * Incremental ...

Lennar

Principal Data Engineer

Miami, FL · On-site

... for analytics and AI initiatives. * Lead architecture decisions for pipeline frameworks ... Proficiency in SQL and Python * Data governance, security, and compliance concepts * Incremental ...

Booz Allen Hamilton

Data Scientist, Mid

Homestead, FL · On-site

... Python, Java, or SQL • Experience with data visualization tools such as Tableau or PowerBI • Experience with client facing teams providing data wrangling, analytics, visualization, and ...

WatchGuard Technologies

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

... with analysts and stakeholders to validate assumptions before build. • Participate in code ... • Python: Data pipeline scripting, PySpark basics, REST API integration. • Unit testing ...

Trax USA Corp

Data Scientist - Airvoyant

Miami, FL · On-site

Advanced proficiency in Python for data analysis and machine learning (pandas, NumPy, scikit-learn, XGBoost, etc.) * Expert-level SQL skills for complex data querying, transformation, and performance ...

Deloitte

Project - Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Required : • 1+ year of experience building/enhancing data pipelines and curated datasets for analytics/downstream consumers. • 1+ year of hands-on experience with SQL and Python, including ...

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How much do python data analysis internship jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for python data analysis internship in Homestead, FL is $20.67, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.55 per hour, depending on experience, location, and employer.

What is a Python Data Analysis Internship?

A Python Data Analysis Internship is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing data using the Python programming language. Interns typically assist with collecting, cleaning, and interpreting large datasets, using Python libraries such as pandas, NumPy, and matplotlib. The internship is designed to help participants develop practical skills in data manipulation, statistical analysis, and data visualization. It is a great way to gain real-world experience in data science and analytics while building a professional network.

What are the key skills and qualifications needed to thrive as a Python Data Analysis Intern, and why are they important?

To thrive as a Python Data Analysis Intern, you need a solid understanding of statistics, data manipulation, and Python programming, often supported by relevant coursework or projects. Familiarity with tools such as pandas, NumPy, Jupyter Notebook, and data visualization libraries like matplotlib or seaborn is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and share insights clearly with team members. These skills enable interns to extract actionable insights from complex datasets and effectively contribute to data-driven decision making.

What is the difference between Python Data Analysis Internship vs Data Analyst?

AspectPython Data Analysis InternshipData Analyst
Required SkillsPython, data analysis, basic statisticsData analysis, SQL, Excel, Python (optional)
Work EnvironmentInternship setting, learning-focusedFull-time or part-time professional role
Experience LevelEntry-level, internshipEntry to mid-level professional
Industry UsageInternship programs, entry rolesBusiness, finance, tech, healthcare

While a Python Data Analysis Internship focuses on gaining hands-on experience with Python and data analysis tools in an internship setting, a Data Analyst role involves applying these skills professionally to analyze data, generate reports, and support decision-making in various industries.

What types of projects and tasks can I expect to work on during a Python Data Analysis Internship?

As a Python Data Analysis intern, you can typically expect to work on projects involving data collection, cleaning, and exploration using Python libraries such as Pandas and NumPy. Your daily tasks may include writing scripts to automate data processing, creating visualizations with tools like Matplotlib or Seaborn, and assisting in preparing reports or presentations based on your findings. Interns often collaborate with data scientists, analysts, and sometimes other departments to support ongoing projects and gain exposure to real-world data challenges. This hands-on experience is valuable for building both technical skills and an understanding of how data-driven decisions are made in a professional environment.
What job categories do people searching Python Data Analysis Internship jobs in Homestead, FL look for? The top searched job categories for Python Data Analysis Internship jobs in Homestead, FL are:
What cities near Homestead, FL are hiring for Python Data Analysis Internship jobs? Cities near Homestead, FL with the most Python Data Analysis Internship job openings:
Python Data Analysis Internship jobs near you

PM Engagement Analyst

Verition Group LLC

Miami, FL • On-site

Other

Posted 25 days ago

Job description

Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in 2008.  Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.

We are seeking a highly motivated PM Engagement Analyst to support the senior PM Engagement team in their work with Portfolio Managers and analysts within our Long/Short Equity business at a leading multi-strategy hedge fund. This role sits at the intersection of investing, data, analytics, and technology, helping teams leverage data, factor analytics, and internal tools to improve research workflows and investment decision-making.  The ideal candidate will have a strong analytical mindset, foundational technical skills in Python and SQL, familiarity with factor models and equity investing, and a desire to work closely with front-office investment professionals in a fast-paced environment.

Key Responsibilities

  • Partner directly with senior members of the L/S engagement team to support data-driven workflows analyzing L/S PM performance and trading behavior.
  • Support engagement team on ad hoc analysis, portfolio diagnostics, and research tooling.
  • Work with factor models and portfolio analytics frameworks to help investment teams better understand exposures, risk, and performance drivers.
  • Analyze portfolio positioning, style exposures, and alpha signals across L/S Equity strategies.
  • Support workflows related to risk decomposition, factor attribution, and portfolio construction.
  • Use Python and SQL to analyze large datasets, automate workflows, and build lightweight analytical tools.
  • Help improve internal data workflows and reporting processes for investment teams.
  • Work closely with data teams and quant researchers, to identify gaps in workflows and improve the investment process.
  • Contribute to the rollout and adoption of internal analytics and research tools.

Required Qualifications

  • 2-4 years of experience within financial services, ideally supporting investment teams, research workflows, data analysis, or portfolio analytics.
  • Foundational proficiency in Python and SQL
  • Comfortable working with large datasets and performing data analysis
  • Understanding of fundamental Long/Short Equity investing
  • Familiarity with factor models, portfolio analytics, and risk concepts
  • Strong judgment and intellectual curiosity
  • Ability to not just produce analysis but also present it in a clear and engaging manner

Desirable Skills

  • Experience with portfolio/risk platforms such as Barra, Axioma, FactSet, Bloomberg, or similar tools.
  • Exposure to alternative data workflows and equity research processes.
  • Familiarity with visualization and analytics tools (Plotly, Streamlit, Dash).
  • Interest in AI-driven research workflows and modern data tooling.

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