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Volunteer Machine Learning Jobs in Atlanta, GA (NOW HIRING)

Data Scientist I (DSAP)

Alpharetta, GA · On-site

$59K - $98K/yr

Learn to apply statistical and machine learning techniques under the guidance of senior data ... volunteer with your charity of choice Learn more about the LexisNexis Risk team and how we work ...

... learning and machine learning to maximize population health outcomes with the greatest cost ... STD/LTD * Voluntary Benefits: Critical Illness, Accident, Hospital * 401k with Employer Match

Experience with time series forecasting, reinforcement learning, machine learning, or optimization ... Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness * Perks & Discounts ...

... machine learning models and optimize data workflows • Implement data models, standards, and ... volunteer opportunities. Some additional benefits we offer include: • Merchandise discounts • ...

Experience with machine learning, predictive modeling, or AI-enabled analytics. * Experience ... Voluntary Life and AD&D Insurance * Health Savings Account, Health Care & Dependent Care Flexible ...

... Machine Learning and business intelligence/insights. What Will You Do? * Build and operationalize ... Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our ...

New

Experience with time series forecasting, reinforcement learning, machine learning, or optimization ... Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness * Perks & Discounts ...

Experience or coursework related to AI, machine learning, data analytics, or automation ... We support Employee Communities (ECs), voluntary, employee-led groups that create connections ...

Showing results 21-40

Volunteer Machine Learning information

See Atlanta, GA salary details

$8

$18

$32

How much do volunteer machine learning jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for volunteer machine learning in Atlanta, GA is $18.40, according to ZipRecruiter salary data. Most workers in this role earn between $13.85 and $19.42 per hour, depending on experience, location, and employer.

What is a volunteer machine learning?

A Volunteer Machine Learning job involves contributing to machine learning projects without monetary compensation, often for nonprofits, open-source initiatives, or research. Volunteers may help with data preprocessing, model training, evaluation, or deployment. It’s a great opportunity to gain hands-on experience, collaborate with professionals, and apply ML skills to meaningful causes.

What types of projects or tasks can I expect to work on as a volunteer machine learning?

As a Volunteer Machine Learning contributor, you may work on a wide variety of tasks such as preparing and cleaning datasets, developing or enhancing machine learning models, conducting data analysis, and documenting results for open-source or nonprofit initiatives. Projects can range from building predictive models for social impact organizations to supporting data-driven research or assisting with educational outreach. You’ll typically collaborate remotely with other volunteers, data scientists, and project managers, often using shared code repositories and communication tools. This role provides valuable hands-on experience and networking opportunities within the growing field of machine learning.

What are the key skills and qualifications needed to thrive in the volunteer machine learning position?

To thrive as a Volunteer Machine Learning professional, you need a solid understanding of machine learning concepts, data analysis, and basic programming skills, typically demonstrated through coursework, personal projects, or relevant certifications. Familiarity with tools such as Python, TensorFlow, scikit-learn, and collaborative platforms like GitHub is often expected. Strong communication, collaboration, and adaptability are vital for contributing effectively within diverse volunteer teams. These skills and qualities enable volunteers to make meaningful technical contributions while supporting the goals of nonprofit or research-focused projects.

What are the most commonly searched types of Machine Learning jobs in Atlanta, GA?

The most popular types of Machine Learning jobs in Atlanta, GA are:

What are popular job titles related to Volunteer Machine Learning jobs in Atlanta, GA?

For Volunteer Machine Learning jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Volunteer Machine Learning jobs in Atlanta, GA look for?

The top searched job categories for Volunteer Machine Learning jobs in Atlanta, GA are:

Infographic showing various Volunteer Machine Learning job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $38,278 per year, or $18.4 per hour.

Data Scientist I (DSAP)

LexisNexis

Alpharetta, GA • On-site

$59K - $98K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

194th of 500 rated business services


Job description

About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within Insurance, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle - all while reducing risk. You can learn more about LexisNexis Risk at the link below. https://risk.lexisnexis.com/insurance
About our Team:
The Insurance Analytics team are the trusted leaders in analytics excellence, delivering innovative, data-driven solutions through cutting-edge data science and strategic risk solutions to drive market leadership, impactful change, and lasting value for our customers and stakeholders. The team is responsible for new product innovation, model development, and creating actionable insights for our customers. We work closely with the Vertical and Product teams to design and implement new solutions for the insurance and OEM markets. By harnessing the power of data, our analytics team empowers insurers to make informed decisions, optimize risk segmentation, and enhance underwriting strategies, ultimately driving success in an ever-evolving insurance landscape.
About the Role
We are seeking a highly motivated data scientist to join the Data Science Accelerator Program (DSAP) that provides broad learning opportunities across the Data Science organization within the LexisNexis Insurance Division. Successful candidates will holistically learn our business during this two-year program while rotating through a series of Analytical product development related assignments and projects. The role will be Hybrid located at our headquarters in Alpharetta, GA and may include some travel.
Responsibilities:
  • Assist with assembling, cleaning, and organizing large datasets to prepare them for analysis.
  • Support team members in merging and parsing data to uncover trends and patterns.
  • Learn to apply statistical and machine learning techniques under the guidance of senior data scientists.
  • Help document model code, track results, and contribute to validating predictive models.
  • Assist in creating attributes and rules from raw data to support analytic projects.
  • Contribute to data visualization efforts to communicate findings.
  • Participate in preparing responses to client inquiries regarding data, score calculations, or analytic outputs.
  • Document work clearly and practice presenting results in a team setting.

Requirements:
  • Hold a bachelor's in data science/analytics, Computer Science, Mathematics, or other degrees in fields like Engineering, Economics, and Business.
  • Coursework or project experience in Python or R; familiarity with SQL is a plus
  • Interest in data analysis, predictive modeling, and machine learning.
  • Exposure to data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) is desirable.
  • Strong problem-solving skills with a willingness to learn and adapt.
  • Ability to communicate ideas clearly and work collaboratively with others

Working for you:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
  • Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
  • Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
  • Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
  • Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
  • Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
  • Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
  • In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

Learn more about the LexisNexis Risk team and how we work here.
U.S. National Base Pay Range: $59,200 - $98,600. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
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