Data Scientist - December 2026 - May 2027 Grads

Global Lending Services • Greenville, SC

5d • 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. This posting is to enter our campus recruiting and entry-level process for position offers being made for December 2026 or May 2027.

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