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Python Analytics Jobs in Florida (NOW HIRING)

Real-Time Analytics * Data Engineering * Data Ingestion Pipelines * Python UDF Development * Database Architecture * Agile/Scrum Key Responsibilities: * Design, develop, and maintain scalable data ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Showing results 21-40

Python Analytics information

What are the key skills and qualifications needed to thrive as a Python Analytics professional?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

Which Python Analytics job is in demand?

Python Analytics roles such as Data Analyst, Data Scientist, and Business Intelligence Analyst are currently in high demand across various industries. These positions typically require proficiency in Python, data visualization, and statistical analysis, with skills in tools like Pandas, NumPy, and machine learning frameworks increasing employability.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its extensive libraries such as Pandas, NumPy, and Matplotlib, which facilitate data manipulation, analysis, and visualization. Its simplicity and versatility make it a preferred language for data analysts and data scientists, often complemented by skills in SQL and data modeling. Proficiency in Python can enhance job prospects in data analytics positions.
Infographic showing various Python Analytics job openings in Florida as of July 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.

Software Engineer (Python)

TurningPoint Healthcare Solutions LLC.

Lake Mary, FL โ€ข On-site

Full-time

Posted 7 days ago


Job description

Senior Software Engineer (Python)
 
 
Who We Are: 
TurningPoint Healthcare Solutions is a leader in advanced clinical and technology-enabled complex condition management. TurningPoint provides an innovative suite of specialty care management services and technologies that enable health plans and employers to improve the safety, quality, and affordability of healthcare. Through its platform and specialized team of clinical experts, TurningPoint works collaboratively with providers to deliver optimal care. TurningPoint offers condition-specific, quality-driven, value-based care management services that optimize care from diagnosis and discovery through recovery. TurningPointโ€™s comprehensive and integrated suite of services enhances the support individuals need, at the time they need it most. Since launching in 2015, TurningPoint has provided support to more than 50 million people nationwide across numerous clinical specialties including musculoskeletal, pain management, cardiology, wound care, ear/nose/throat, and sleep. TurningPointโ€™s model moves beyond denial-based care to holistic condition management that improves outcomes and reduces cost. TurningPoint is an independent organization, not owned or affiliated with a health plan or provider system
 

Position Summary:
The Software Development Engineer (AI Platform) participates in the full development cycle of the companyโ€™s AI-powered software products. Working full-stack across frontend, backend, and APIs, the engineer builds and modernizes the platforms and services that power intelligent document processing and AI-driven clinical review โ€” resolving production issues, delivering new features, and exposing reusable services for other teams to build on.
 

Roles and Responsibilities: 

  • Participate in the full software development cycle โ€” design, build, test, release, and maintain production software across frontend, backend, and APIs.
  • Respond rapidly to production issues and bugs, troubleshooting and resolving them to sustain reliability and meet performance and error-rate targets.
  • Modernize and evolve the companyโ€™s AI platforms and processing services, keeping architecture, frameworks, and dependencies current.
  • Develop and improve core AI capabilities such as document processing, retrieval, and prompt execution, including tooling to measure and ensure quality.
  • Design and build APIs and modular, reusable services that other teams and applications can consume.
  • Build configuration and administrative interfaces that let clinical and operations stakeholders manage business rules, mappings, and AI prompt workflows directly.
  • Create clear reporting and dashboards on system, data, and operational health.
  • Manage code releases and partner with DevOps on CI/CD and deployment improvements.
  • Write clear technical and end-user documentation.
  • Respect and maintain HIPAA confidentiality guidelines; follow company policies and participate in annual performance reviews.
  • Other duties as directed.

Education, Experience and Licensure:

  • A bachelor's degree in Computer Science, Math, Physics, or Engineering is preferred.  
  • Ability to foster a cohesive working environment. 

 
Knowledge and Skills: 

  • Basic understanding of object-oriented programming design and analysis.
  • Software Development & Web Application Development understanding in general, Client-Server Architecture knowledge.
  • Proactive self-taught individual, ability to research and find answers.
  • Willingness to learn about cross cutting concerns and new technologies and able to adapt quickly to rising challenges.
  • Fair understanding of SDLC Self-starter.
  • Basic knowledge on software development methodologies.
  • Strong problem solving and excellent oral and written communication skills; Attention to detail and emphasis on quality and accuracy; Strong organizational skills; commitment to customer service.
  • Must be able to foster a positive and productive work environment.
  • Experience with the following software technologies: Python (backend), Next.js and TypeScript (frontend).
  • Experience designing and integrating REST APIs, working with databases, and deploying to the cloud (Microsoft Azure preferred), using Git and CI/CD.
  • Preferred: Building AI/LLM-powered application features, including prompt engineering and evaluation.
  • Preferred: Retrieval-Augmented Generation (RAG) and semantic / vector search (e.g., Azure AI Search).
  • Preferred: LLM orchestration frameworks such as LangGraph (or LangChain / Semantic Kernel).
  • Preferred: Document extraction and processing (e.g., Azure AI Document Intelligence).
  • Preferred: Embeddings, chunking strategies, and quality evaluation of AI outputs; exposure to Azure OpenAI and MLOps/LLMOps practices.

 
 
 
TurningPoint Healthcare Solutions is an Equal Opportunity Employer.