Data Scientist

Global Lending Services
Greenville, South CarolinaFull-timePosted Aug 27, 2026

About the role

Why GLS?

Purpose: Access to affordable, reliable transportation is essential to leading productive work and personal lives, caring well for oneself, one’s family, and the needs of others. Through advanced analytics and technology, we can more accurately predict credit risk and provide more people with an affordable auto financing option for their next vehicle. That’s what GLS has done for over 10 years, helping more than half a million families meet and improve their transportation needs.

People: Join a culture of over 1,000 employees who Care Deeply and Think Boldly, driving innovation in an adaptive and positive culture that celebrates successes. We empower and reward individuals and teams who make direct, positive impacts to the business and each other, who take pride in their work and are ever-raising the bar.

Growth: Recognized by Inc 5000 as one of the fastest-growing private companies in America. Join GLS to grow with us!

Benefits: GLS offers the below great benefits for your amazing work!

o Competitive base pay and performance bonuses, dependent on role

o Medical, dental, vision, telemedicine, supplemental insurance benefits, long-term and short-term disability

o 401K with employer match and 100% immediate vesting

o Paid Time Off (PTO) and paid company holidays to help you balance work and personal life

o Paid Volunteer Time Off (VTO) Annually

o Tuition Reimbursement

o Parental Leave

o Business casual work environment

***This posting is to enter our campus recruiting and entry-level process for position offers being made for December 2026 or May 2027***

What does it mean to be a Data Scientist at GLS?

GLS relies heavily on Data Science and Decision Science to power automated, intelligent decision-making that strengthens dealer partnerships and enables us to offer affordable lending solutions to consumers. As a Data Scientist at GLS, you will play a vital role in addressing critical business challenges by applying your strong critical thinking, academic expertise, and ability to quickly master new concepts and domains, transforming knowledge into practical solutions.

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How will you drive value within the organization as a Data Scientist?

Understanding business problems and needs to design effective data science solutions

Gathering data from various sources, cleaning it appropriately, and visualizing it to identify anomalies and patterns

Developing robust predictive models using suitable modeling techniques

Generating insights and crafting a cohesive narrative from the data, summarizing analytical results, and presenting them to stakeholders

Collaborating with business partners to translate models into actionable business strategies

Working with IT to implement models into IT platforms for automated decision-making

Monitoring model performance to ensure effectiveness and validity

Continuously learning new technologies and refining skills daily

What should you already know to be successful as a Data Scientist?

Strong foundational knowledge in statistics, data science, and machine learning, including techniques such as multivariate regression, decision trees, stochastic gradient boosting, and deep learning

Proficiency in programming and working with open-source AI/ML languages and tools, including but not limited to SQL, Python, R, scikit-learn, statsmodels, XGBoost, and LightGBM

Proven experience in managing and analyzing large datasets

Excellent written and verbal communication skills, with the ability to convey complex ideas in a clear, business-oriented, and user-friendly manner

Self-motivated with a demonstrated ability to take initiative, identify opportunities for improvement, make actionable recommendations, and see them through to implementation while assessing their effectiveness

Outstanding interpersonal skills: approachable, tactful, and capable of influencing others, resolving conflicts, exercising sound judgment, maintaining confidentiality, and collaborating with all levels of the organization to build strong cross-functional partnerships

Employment Requirements:

This is an exempt level position whereby business need will dictate the exact work schedule which should be expected to vary at times. Generally, the days and hours of work are Monday through Friday, 8:30am-5:30pm

Regular, predictable attendance is required, including in excess of 40 hours per week as business demands dictate

Evening and weekend work may be required as job duties demand

The position does not require travel

Significant portions of daily assignments involve application of manual skills requiring motor coordination in combination with finger dexterity

Remain in a stationary position up to 100% of the workday

Be able to perform activities such as: viewing a computer terminal, extensive reading, bending, and kneeling

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2023 California Applicant Privacy Notice

GLS participates in the E-Verify program to confirm the employment eligibility of all newly hired employees

Please visit www.glsauto.com for information about our great company and other amazing opportunities

Applicants have rights under Federal Employment Laws

Family and Medical Leave Act (FMLA)

Equal Employment Opportunity (EEO)

Employee Polygraph Protection Act (EPPA)

Responsibilities

  • Understanding business problems and needs to design effective data science solutions
  • Gathering data from various sources, cleaning it appropriately, and visualizing it
  • Developing robust predictive models using suitable modeling techniques
  • Generating insights and crafting a cohesive narrative from the data
  • Collaborating with business partners to translate models into actionable business strategies
  • Monitoring model performance to ensure effectiveness and validity
  • Continuously learning new technologies and refining skills

Qualifications

  • Strong foundational knowledge in statistics, data science, and machine learning
  • Proficiency in programming and working with open-source AI/ML languages and tools
  • Proven experience in managing and analyzing large datasets
  • Excellent written and verbal communication skills
  • Self-motivated with a demonstrated ability to take initiative
  • Outstanding interpersonal skills

Benefits

  • Competitive base pay and performance bonuses
  • Medical, dental, vision, telemedicine, supplemental insurance benefits
  • 401K with employer match and 100% immediate vesting
  • Paid Time Off (PTO) and paid company holidays
  • Paid Volunteer Time Off (VTO) Annually
  • Tuition Reimbursement
  • Parental Leave
  • Business casual work environment

Skills mentioned

Data ScienceMachine LearningPythonSQLRScikit-learnXGBoostLightGBMStatistical ModelingData Analysis

About Global Lending Services

Our mission. With our customers at the heart of all we do, we innovate through technology and advanced analytics to make transportation more accessible and affordable. Together, let’s drive life forward. Ready to make a difference? Teamwork, collaboration, and entrepreneurial spirit aren’t just good ideas to us, they are integral parts of our culture. We are a fast-paced, high-performing, and driven team that rewards top talent while providing a great place to work and grow your career. At GLS, your ideas and contributions become solutions and products. Join us as we care deeply and think boldly to improve the lives of our customers. Access to affordable credit and reliable transportation can be lifechanging. That’s what we do. Ranked among the 5000 fastest growing companies in the US by Inc. Magazine We hold ourselves to the highest ethical and moral standards in everything we do. We seek out innovative solutions, grounded in data and analytics, to create value for our customers. We support each other to create an inclusive environment for all. For more information please see our website: https://GLSauto.com

Financial Services1,001-5,000 employeesGreenville, South Carolina

H-1B sponsorship history

Historical employer filing data was found for Global Lending Services. The employer record includes 65 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.