Data Scientist - December 2026 - May 2027 Grads

Global Lending Services • Greenville, SC

4d • Onsite

About The Position

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.

Requirements

• 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

Responsibilities

• 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

Benefits

• Competitive base pay and performance bonuses, dependent on role
• Medical, dental, vision, telemedicine, supplemental insurance benefits, long-term and short-term disability
• 401K with employer match and 100% immediate vesting
• Paid Time Off (PTO) and paid company holidays to help you balance work and personal life
• Paid Volunteer Time Off (VTO) Annually
• Tuition Reimbursement
• Parental Leave
• Business casual work environment

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed