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Python Analytics Jobs in Florida (NOW HIRING)

... Python, and analytics tooling, either directly or through integrated delivery with other developers. • Ensures solutions adhere to enterprise AI governance, model risk management, monitoring, and ...

Manager Analytics & AI Company: Peoples Gas System State and City: Florida - Tampa Shift: 8 Hr. X 5 ... Strong handson skills with SQL and Python. * Effectively presents technically complex information.

Manager Analytics & AI Company: Peoples Gas System State and City: Florida - Tampa Shift: 8 Hr. X 5 ... Strong hands-on skills with SQL and Python. * Effectively presents technically complex information.

The Associate Director of Data Analytics provides technical and people leadership to design, build ... Strong SQL + Python (or equivalent) delivering production-grade pipelines and automation.

The Associate Director of Data Analytics provides technical and people leadership to design, build ... Strong SQL + Python (or equivalent) delivering production-grade pipelines and automation.

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Python Analytics information

What is the salary of a Python analyst?

The salary of a Python analyst typically ranges from $60,000 to $110,000 annually, depending on experience, location, and industry. Professionals with strong skills in data analysis, machine learning, and proficiency in tools like Pandas and Jupyter Notebook tend to earn higher salaries.

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

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.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

Can I be a data analyst in 3 months?

Becoming a data analyst with a focus on Python typically requires several months of dedicated learning, including skills in data manipulation, visualization, and tools like pandas and SQL. While some individuals may acquire foundational skills in three months, gaining proficiency for a professional role usually takes longer and depends on prior experience and learning pace.

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.

Is Python still in demand?

Python analytics roles remain highly in demand due to Python's versatility in data analysis, machine learning, and automation. Employers seek professionals skilled in libraries like Pandas, NumPy, and frameworks such as TensorFlow, often requiring proficiency in data visualization and scripting. Staying updated with Python versions and related tools enhances job prospects in this field.

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.
Infographic showing various Python Analytics job openings in Florida as of June 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.
Python Developer, Assistant Vice President

Python Developer, Assistant Vice President

Citigroup, Inc.

Jacksonville, FL • On-site

$96K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

Overview of the Role:
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.
As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients' best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.
Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We'll enable growth and progress together.
The Python Developer is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.
Responsibilities:
AI/ML Model Development:
  • Design, fine-tune, and deploy LLMs (e.g., GPT-4, Gemini, and open-source models) for chatbot and NLP applications.
  • Implement Retrieval-Augmented Generation (RAG) for efficient information retrieval from large datasets.

Data Processing & Text-to-SQL:
  • Build text-to-SQL pipelines to enable natural language queries for structured databases.
  • Process structured and unstructured data for applications such as classification, extraction, and summarization.

Document Processing:
  • Automate document workflows, including ingestion, classification, and data extraction, using advanced AI techniques.

Python Development:
  • Write scalable and efficient Python code for data pipelines, ML models, and integration with production systems.

Model Deployment:
  • Deploy and monitor AI/ML models using MLOps best practices.
  • Optimize and refine deployed models based on feedback and performance metrics.

Collaboration:
  • Work closely with cross-functional teams, including data engineers and developers, to deliver business-aligned AI solutions.

Education:
Bachelor's degree/University degree or equivalent experience. Master's preferred in Computer Science, Data Science, AI, or a related field.
Qualifications:
  • Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • 5-8 years of hands-on experience in AI/ML, NLP, RAG, chatbot development, and LLM applications.
  • Expertise in working with LLMs and write Prompts to build LLM based applications (e.g., GPT-4, Gemini, Mixtral etc).
  • Hands-on experience with Retrieval-Augmented Generation (RAG) and vector databases.
  • Advanced skills in NLP techniques, text-to-SQL solutions, and document processing workflows.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Openshift, Kubernetes).
  • Knowledge of MLOps frameworks for model deployment and lifecycle management.

Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
Jacksonville Florida United States
Primary Location Full Time Salary Range:
$96,960.00 - $145,440.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.