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Research Python Jobs in Jacksonville, FL (NOW HIRING)

Kavaliro is seeking an Electrical Engineer for an innovative company focused on research and ... python, C, or related language. - Understanding of core electrical concepts related to controls ...

Senior Pricing Actuary

Jacksonville, FL · On-site

$140K - $160K/yr

Research peer company filings and develop adequate and supportable rates where no data is available ... Knowledge of SQL, Python or other programming languages is preferred. * A proactive, creative ...

... and operations research contexts. * Curriculum Awareness & Adaptive Instruction: Familiar with ... Adapts instruction using computational tools like MATLAB and Python, real-world case studies, and ...

Conduct competitor research and risk segmentation analysis * Identify opportunities to improve ... Experience with Python, R, or similar programming languages * Ability to communicate technical ...

Showing results 41-60

Research Python information

See Jacksonville, FL salary details

$12

$54

$79

How much do research python jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for research python in Jacksonville, FL is $54.32, according to ZipRecruiter salary data. Most workers in this role earn between $44.76 and $61.68 per hour, depending on experience, location, and employer.

Is Research Python good for research?

Research Python is a specialized role that involves using Python programming skills to support research activities, such as data analysis, automation, and modeling. Proficiency in Python, along with knowledge of scientific libraries like NumPy or pandas, makes it a valuable skill for research projects. The role often requires strong problem-solving abilities and familiarity with research environments or datasets.

What is a Research Python developer?

A Research Python Developer is a professional who uses the Python programming language to support and conduct research activities. They often work with data analysis, machine learning, simulation, and automation to solve scientific or academic problems. Their role may involve developing prototypes, processing large datasets, and collaborating with researchers to implement algorithms or models. Research Python Developers are commonly found in universities, research institutions, and tech companies focused on innovation.

What is the difference between Research Python vs Data Analyst?

AspectResearch PythonData Analyst
Required SkillsPython programming, research methodologies, data analysisData analysis, visualization, SQL, Excel
Work EnvironmentResearch labs, academic institutions, tech companiesBusiness settings, corporate offices, consulting firms
Common CertificationsPython certifications, research methodology coursesMicrosoft Excel, Tableau, SQL certifications
Industry UsageAcademic research, scientific projects, tech R&DBusiness intelligence, marketing, finance

Research Python focuses on using Python for scientific and academic research, emphasizing programming and research methodologies. Data Analysts primarily analyze and interpret data to support business decisions, often using tools like Excel and Tableau. While both roles require data skills, Research Python is more technical and research-oriented, whereas Data Analysts focus on data interpretation within business contexts.

Which research Python job is in demand?

Research Python roles in demand include data scientist, machine learning engineer, and AI researcher, often requiring strong programming skills, knowledge of libraries like NumPy and TensorFlow, and experience with data analysis. These positions are prevalent in industries such as technology, finance, and healthcare, with a focus on developing algorithms and models for data-driven insights.

What are the key skills and qualifications needed to thrive as a Research Python developer?

To thrive as a Research Python Developer, you need expertise in Python programming, data analysis, and a strong foundation in mathematics or computer science, often supported by an advanced degree. Familiarity with libraries such as NumPy, pandas, TensorFlow, and version control systems like Git is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating research goals into practical code. These skills are essential for developing robust research solutions, collaborating with interdisciplinary teams, and advancing scientific or technical projects.

What are some common challenges faced by Research Python developers when collaborating with cross-functional teams?

Research Python Developers often work alongside data scientists, domain experts, and engineers, which can present challenges such as aligning on project goals, translating research requirements into efficient code, and ensuring reproducibility of results. Effective communication and thorough documentation are key to overcoming these challenges. Additionally, Research Python Developers may need to adapt their code to integrate with different tools or platforms used by other team members, requiring flexibility and a willingness to learn new technical concepts.
What job categories do people searching Research Python jobs in Jacksonville, FL look for? The top searched job categories for Research Python jobs in Jacksonville, FL are:
What cities near Jacksonville, FL are hiring for Research Python jobs? Cities near Jacksonville, FL with the most Research Python job openings:
Infographic showing various Research Python job openings in Jacksonville, FL as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $112,979 per year, or $54.3 per hour.

2027 Leadership Development Program Associate

Fortegra

Jacksonville, FL • On-site

Full-time

Re-posted 13 hours ago


Job description

The LDP Associate is a highly motivated recent college graduate who will rotate to two (2) to four (4) operational areas throughout the 2-year program. Each rotation will last 6 to 12 months and is assigned based on the associate's qualifications and interests as well as business need. Rotations include the following departments: Financial Planning & Analysis, Corporate Accounting, Internal Audit, Compliance, Data Analytics, IT, Underwriting, Account Management, Marketing, Operations, and Business Analysis.
While in the rotation, the LDP associate will report to the designated rotation manager and will be responsible for assigned tasks and duties relevant to that department.
What LDP will gain:
  • Exposure to multiple business units and senior leadership.
  • Hands-on experience in strategic and operational initiatives.
  • A strong professional network across the organization.
  • Mentorship, coaching, and leadership development opportunities

Minimum Qualifications:
  • Bachelor's Degree in: Information Systems, Statistics, Actuarial Science, Finance, Accounting or related Business School degree.
  • Demonstrated strong academic performance.
  • A highly motivated and proactive approach to learning and professional development.
  • Strong analytical, problem-solving, and communication skills.
  • Proficiency in Microsoft Office Suite; additional technical skills may be preferred for certain roles (e.g., SQL, Python, Tableau for Data Analytics; knowledge of IT security tools for Cybersecurity).
  • Ability to work both independently and in a team environment.
  • Eagerness to learn and contribute in a professional setting.
  • Recent graduates, preferred
  • Insurance and/or financial industry experience not required
  • Relevant work or internship experience and/or schoolwork with a focus in information systems, statistics, risk management, actuarial sciences, data analysis, finance, accounting or other business school curriculum.

Primary Job Functions:
  • Report to your designated department leader/rotation manager and perform assigned tasks in relevant department
  • Responsibilities might include but are not limited to:

Support Department Operations
  • Assist with day-to-day tasks and ongoing projects within the assigned department.
  • Maintain organized records, documentation, and reports
  • Test internal procedures and document findings while providing recommendations for better solutions

Conduct Research & Analysis
  • Gather and analyze data to support decision-making.
  • Research industry trends, regulations, and best practices relevant to the department.
  • Research, create reports, collect necessary information, consolidate and communicate performance measurements and metrics to various levels of management
  • Perform deep dive analytics and interpret data relative to budget, actual, and prior year as well as historical/multi-year trending
  • Identify financial and/or operational trends and recommend actions to management
  • Develop forecasts across different departments and/or regions / business lines and identify significant areas of opportunity

Collaborate with Teams
  • Participate in meetings, brainstorming sessions, and project reviews.
  • Work with cross-functional teams to complete assignments.

Assist in Process Improvement
  • Identify potential areas for efficiency and recommend solutions.
  • Document workflows, policies, or technical processes.

Prepare Reports & Presentations
  • Create summaries, dashboards, or slide decks to present findings.
  • Support leadership in varied areas of operational or financial analysis including monthly management reporting, valuation modeling, variance analysis, budgeting, forecasting and strategic planning

Market Analysis
  • Monitor fundamental economic, industry, and corporate developments through the analysis of information obtained from financial publications and services, investment banking firms, government agencies, trade publications, company sources, and personal interviews
  • Maintain knowledge and stay abreast of developments in the fields of business and insurance

Engage in Professional Development
  • Attend training sessions and networking events organized by the company.
  • Seek feedback and apply learning to assigned tasks.
  • Create and/or join internal teams related to the Company's Corporate Responsibility initiatives

The above cited duties and responsibilities describe the general nature and level of work performed by people assigned to the job. They are not intended to be an exhaustive list of all the duties and responsibilities that an incumbent may be expected or asked to perform.
Skills & Competencies Required:
  • Analytical Thinking - Ability to collect, interpret, and analyze data effectively.
  • Attention to Detail - Produces accurate, high-quality work with minimal errors.
  • Communication Skills - Strong verbal and written communication skills for collaboration and presentation.
  • Technical Proficiency - Comfortable with Microsoft Office Suite (Excel, PowerPoint, Word); department-specific tools may be required (e.g., SQL, Tableau, Python, cybersecurity platforms).
  • Problem-Solving - Approaches challenges with creativity, logic, and persistence.
  • Adaptability - Able to adjust quickly to changing priorities, assignments, and tools.
  • Teamwork - Works effectively with colleagues across different departments and levels.
  • Professionalism - Maintains confidentiality, punctuality, and a positive attitude.
  • Time Management - Prioritizes tasks to meet deadlines in a fast-paced environment.
  • Initiative - Proactively seeks opportunities to contribute and learn.

#LI-Onsite
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.