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Python Data Analysis Internship Jobs in Saint James, NY

3B Staffing LLC

Data Analytics Engineer (AI)

Stamford, CT

$122K - $146K/yr

Senior AI Data Analytics Engineer Stamford, CT (Hybrid) local only EC:- Financial Services Client GC, USC LLM optimization, prompt engineering, embeddings & vector DBs, Python, ML/AI deployment ...

GainAm

Entry Level Python Developer job

Hicksville, NY · On-site

$55K/yr

... python and data engineering to help us create dynamic software applications for our clients. In ... Basic planning/organizational skills and techniquesGood decision making, analysis and problem ...

Webster Bank

Manager, Financial Analytics

Stamford, CT · On-site

$112K - $147K/yr

... analysis and reporting. The Manager Financial Analytics role designs and supports statistical and ... Experience working with complex data structures within a RDMS (Oracle, SQL). * Proficient in Python ...

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All JobsPython Data Analysis JobsPython Data Analysis Internship JobsPython Data Analysis Internship Jobs in Saint James, NY

Python Data Analysis Internship information

See Saint James, NY salary details

$12

$23

$43

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

As of Aug 9, 2026, the average hourly pay for python data analysis internship in Saint James, NY is $23.38, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $25.48 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?

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 cities near Saint James, NY are hiring for Python Data Analysis Internship jobs? Cities near Saint James, NY with the most Python Data Analysis Internship job openings:
Python Data Analysis Internship jobs near you

Data Analytics Engineer (AI)

3B Staffing LLC

Stamford, CT

$122K - $146K/yr

Full-time

Posted 19 days ago

Job description

Senior AI Data Analytics Engineer Stamford, CT (Hybrid) local only EC:- Financial Services Client GC, USC LLM optimization, prompt engineering, embeddings & vector DBs, Python, ML/AI deployment, MLOps (CI/CD, monitoring, governance), cloud (Azure/AWS/GCP), API integration, and scalable data engineering (Financial Services preferred). AI Configuration & Optimization
  • Configure, fine-tune, and optimize Large Language Models (LLMs) and advanced ML models
  • Develop and manage prompt engineering frameworks, embeddings, and vector databases
  • Translate business requirements into AI-powered workflows and intelligent automation solutions
AI Implementation & Delivery
  • Deploy production-ready ML/AI models and data pipelines
  • Integrate AI capabilities into enterprise applications, APIs, and analytics platforms
  • Build scalable, end-to-end AI and data solutions aligned with business goals
  • Ensure solutions deliver measurable performance and operational impact AI Infrastructure & MLOps
  • Design and maintain MLOps frameworks including CI/CD pipelines
  • Implement model monitoring, versioning, governance, and performance optimization
  • Work across cloud platforms (Azure, AWS, or GCP) to scale AI workloads
  • Enhance reliability, security, and compliance of AI systems
Required
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
  • 5+ years of experience in Data Engineering, AI Engineering, or ML Engineering roles
  • Hands-on experience with LLMs, prompt engineering, embeddings, and vector databases
  • Strong programming skills in Python (preferred)
  • Experience deploying ML/AI models into production environments
  • Solid understanding of cloud platforms (Azure, AWS, or GCP)
  • Experience building CI/CD pipelines for AI/ML systems
Preferred
  • Experience in Financial Services domain
  • Familiarity with API development and microservices architecture
  • Experience with model governance, compliance, and AI risk frameworks
  • Knowledge of scalable distributed data systems

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