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Python Volunteer Jobs in Tennessee (NOW HIRING)

HireRight

Senior Software Engineer (Java)

Nashville, TN

$120K - $158K/yr

We are seeking an experienced Senior Java & Python Developer with expertise to join our growing ... Voluntary Life Insurance * Short & Long Term Disability * Flexible Spending Accounts * 401K

DeAngelis Diamond

VDC Manager

Nashville, TN

$77K - $103K/yr

Dynamo, Python, and C# will be beneficial. * Training and education of VDC programs and processes ... Volunteer Time Off: 2 paid days to devote to volunteering for the nonprofit of your choice.

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How much do python volunteer jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for python volunteer in Tennessee is $53.21, according to ZipRecruiter salary data. Most workers in this role earn between $43.85 and $60.43 per hour, depending on experience, location, and employer.

What kinds of projects do Python Volunteers typically work on, and how is the workload managed?

Python Volunteers often assist with a variety of projects such as data analysis, writing or improving scripts, developing web applications, or supporting open-source software initiatives. Work assignments are usually flexible and tailored to match both your skills and the organization’s needs, with tasks ranging from bug fixing to feature development. Teams may use project management tools like Trello or Slack to assign tasks and facilitate communication among volunteers. As a Python Volunteer, you’ll frequently collaborate with other developers and sometimes with non-technical team members, which enhances the learning experience and fosters a supportive environment. This structure allows volunteers to contribute at their own pace while still delivering valuable outcomes.

What are the key skills and qualifications needed to thrive in the Python Volunteer position, and why are they important?

To thrive as a Python Volunteer, you should possess a solid understanding of Python programming fundamentals, problem-solving abilities, and experience with version control systems like Git. Familiarity with collaborative tools such as GitHub, Jupyter Notebooks, and code review platforms is often beneficial, and relevant certifications or experience in open-source contributions can be advantageous. Strong communication skills, reliability, and a passion for learning make a volunteer stand out in team and community-driven environments. These abilities are crucial for contributing effectively, working with diverse teams, and making a positive impact on projects and the organization.

Will AI replace Python coders?

Python developers are unlikely to be fully replaced by AI, as coding often requires creativity, problem-solving, and understanding complex requirements. AI tools can assist programmers by automating repetitive tasks and suggesting code, but human oversight and expertise remain essential for designing, debugging, and maintaining software. Staying updated with new tools and continuously improving skills can help Python coders remain valuable in the evolving tech environment.

Are Python still in demand in 2026?

Python developers remain in high demand in 2026 due to its widespread use in data science, web development, automation, and artificial intelligence. Skills in frameworks like Django and libraries such as Pandas or TensorFlow enhance job prospects, and proficiency in version control and testing are often required. The language's versatility ensures continued relevance across various industries.

Are Python coders still in demand?

Python coders remain in high demand across various industries due to Python's versatility in web development, data analysis, machine learning, and automation. Employers seek Python skills along with knowledge of frameworks like Django or libraries such as Pandas, making Python programming a valuable skill for many tech roles.

How do I get a job in Python with no experience?

To get a Python volunteer or entry-level job with no experience, start by learning Python fundamentals through online courses and practice coding regularly. Build a portfolio of small projects to demonstrate your skills, contribute to open-source projects, and seek internships or volunteer opportunities to gain practical experience. Certifications like the Python Institute's PCAP can also enhance your resume and improve your chances of landing a role.

What is a Python Volunteer job?

A Python Volunteer job involves contributing programming skills to assist organizations, nonprofits, or open-source projects. Volunteers may help with coding, debugging, data analysis, automation, or software development. These roles are often unpaid but provide valuable experience, networking opportunities, and a chance to support meaningful initiatives. Tasks can range from writing scripts to improving existing codebases or collaborating on community-driven projects.

What are the most commonly searched types of Python jobs in Tennessee? The most popular types of Python jobs in Tennessee are:
What are popular job titles related to Python Volunteer jobs in Tennessee? For Python Volunteer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Python Volunteer jobs in Tennessee look for? The top searched job categories for Python Volunteer jobs in Tennessee are:
Python Volunteer jobs near you
Infographic showing various Python Volunteer job openings in Tennessee as of June 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution, with an average salary of $110,668 per year, or $53.2 per hour.

Senior Data Scientist - GenAI/Python/AWS/SQL

Unum UK

Chattanooga, TN

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 hours ago

Job description

When you join the team at Unum, you become part of an organization committed to helping you thrive.

Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide:

  • Award-winning culture

  • Inclusion and diversity as a priority

  • Performance Based Incentive Plans

  • Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability

  • Generous PTO (including paid time to volunteer!)

  • Up to 9.5% 401(k) employer contribution

  • Mental health support

  • Career advancement opportunities

  • Student loan repayment options

  • Tuition reimbursement

  • Flexible work environments

*All the benefits listed above are subject to the terms of their individual Plans.

And that's just the beginning...

With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you're directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today!

General Summary:Are you passionate about using AI and advanced analytics to solve complex, highvisibility business problems? Do you thrive in an innovationdriven environment where you can prototype, experiment, and shape the future of AI at scale? If so, this is the role for you.
We are seeking a Senior Data Scientist to join our innovation hub-a small, agile team tackling the company's most strategic challenges. You'll build POCs, develop endtoend machine learning and generative AI solutions, and work directly with senior leaders across the enterprise.
What You Bring
Bachelor's in a quantitative field required (Master's/PhD preferred)
6+ years of experience in data science or machine learning
Strong Python and SQL skills
Experience with cloud platforms (AWS preferred; Azure/GCP comparable)
Databricks + PySpark experience is a strong plus
Background in statistical modeling, ML algorithms, and feature engineering
Ability to build automated analytics workflows and work with APIs
Strong communication skills with experience influencing senior stakeholders
Entrepreneurial mindset, curiosity, and comfort working in fastmoving environments

Job Specifications / Qualifications

Education

  • Bachelor's degree in a quantitative field required.

  • Master's or PhD in a quantitative discipline preferred.

Experience

  • 6+ years of professional experience or equivalent relevant work.

  • Proven track record leading endtoend data science projects with measurable business impact.

Technical Expertise

Core Data Science Capabilities (expert in at least two, strong in others):

  • Programming & Automation:

    • Python required; experience with automation, DevOps practices, APIs, file I/O, and database integrations.

    • Experience engineering solutions in cloud environments (AWS preferred; Azure/Google comparable).

    • Exposure to objectoriented development and scalable architecture.

  • Data Visualization:

    • Expertise across multiple visualization tools and techniques.

    • Ability to tailor visuals to business use cases and audiences.

  • Statistics & Machine Learning:

    • Deep knowledge of statistical inference, regression, feature selection, feature extraction, and ML algorithms.

    • Experience leading large-scale modeling projects end-to-end.

    • Familiarity with generative AI approaches is a plus.

  • Data Engineering / ETL:

    • Strong SQL skills; ability to design, debug, and optimize complex queries.

    • Ability to navigate and explore large databases independently.

    • Experience combining internal and external data sources.

Soft Skills & Business Leadership

  • Strong communication skills, including the ability to influence senior leaders.

  • Project management expertise and strong business acumen (financial services experience a plus).

  • Ability to manage multiple concurrent initiatives in a fastmoving environment.

  • Comfortable leading engagements and representing analytics with executive leadership.

Primary Responsibilities

Analytical Solution Development

  • Design, develop, and execute analytical solutions using optimization, simulation, machine learning, generative AI, and statistical modeling.

  • Construct predictive models to explain events, forecast behaviors, identify risk, or perform segmentation and clustering.

  • Apply domain expertise to ensure models are practical, interpretable, and aligned with business needs.

  • Evaluate alternative approaches and select appropriate modeling techniques for each use case.

Data Engineering & Preparation

  • Integrate and transform large volumes of data from diverse sources (e.g., DB2, SQL Server, Teradata, APIs) to support analytics and experimentation.

  • Build modelingready datasets using validation, reconciliation, feature engineering, and aggregation techniques.

  • Write complex SQL queries involving multitable joins, data exploration, and troubleshooting with minimal guidance.

  • Develop logical data models combining internal and external datasets; lead conversations with external data providers when needed.

Automation & Deployment

  • Build automated analytics pipelines leveraging scripting, APIs, DevOps practices, and cloud platforms.

  • Partner with engineering and IT teams to scale solutions, automate workflows, and integrate models into business processes.

  • Play a lead role in operationalizing AI/ML solutions within production environments.

Visualization, Insights & Communication

  • Develop and deliver clear, compelling visualizations (static or dynamic) tailored to various audiences.

  • Interpret analytical results and communicate actionable insights that influence senior leaders and key business partners.

  • Translate complex technical work into businessfriendly recommendations.

Leadership, Mentorship & Collaboration

  • Coach, mentor, and develop junior data scientists; provide technical guidance and feedback.

  • Provide leadership on data science initiatives, ensuring outputs meet quality standards.

  • Work in a collaborative, innovation-focused environment with product owners, engineers, data architects, and business partners.

  • Manage multiple projects simultaneously, prioritizing independently and guiding less experienced team members.

Innovation & Research

  • Stay current on emerging statistical methods, machine learning advancements, and generative AI tools.

  • Conduct independent R&D to prototype new approaches and explore innovative solutions for highvisibility business problems.

  • Demonstrate entrepreneurial, selfstarter mindset with a strong curiosity and continuouslearning orientation.

#LI-AD1

#LI-Multi
~IN1

Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.

Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.

The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.

$89,400.00-$183,500.00

Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans.

Company:

Unum

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