Data Scientist in Mount Laurel

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

Job DescriptionJob Description

Data Scientist

We are PEAC Solutions—large enough to finance the globe, yet small enough to stand shoulder-to-shoulder with our customers. We believe in the power of partnership and the promise of possibility. Our purpose is to fuel growth by providing smart, flexible lending solutions that help businesses overcome obstacles and seize new opportunities. Backed by HPS Investment Partners, a leading global investment firm, we offer equipment financing, working capital, and inventory lending solutions that keep businesses moving forward. As the world’s largest independent equipment finance company, we are expanding our global footprint—and we are doing it with purpose, grit, and a commitment to those we serve.

You are someone who thrives in an environment where ambition meets action. You bring curiosity, resilience, and a strong sense of accountability. You see challenges as opportunities and believe in making an impact on customers, for your team, and for the business. If you are looking to be a part of a company that values partnerships over hierarchy and purpose over routine, your next chapter could start here.

The Data Scientist supports the design, development, and implementation of analytical and statistical solutions that drive operational efficiency, customer experience improvements, and business growth. This role blends technical analytics with practical application, translating insights into actions that enhance performance across processes, products, and customer interactions. The ideal candidate is analytical, curious, and eager to connect data-driven findings to real-world business outcomes.

Essential Functions:

• Contribute to the development, testing, and implementation of predictive and statistical models that support risk management, operational decisioning, and customer engagement strategies.
• Translate complex analytical findings into actionable recommendations that improve operational performance, service delivery, and customer satisfaction.
• Partner cross-functionally with business, risk, sales, and operations teams to embed analytics into workflows and decision tools.
• Conduct data exploration, segmentation, and root cause analysis to identify performance drivers and optimization opportunities.
• Support automation and process improvement initiatives through data modeling, scorecard development, and decision logic refinement.
• Participate in monitoring and validation activities to ensure models and reporting tools maintain accuracy, fairness, and business relevance.
• Create clear documentation of model assumptions, methodology, and governance requirements.
• Present quantitative insights in accessible ways to non-technical stakeholders, enabling better business and customer outcomes.
• Contribute to innovation by testing new modeling techniques, analytical frameworks, and data visualization methods.

Qualifications:

• Bachelor’s degree required in a Quantitative field (Economics, Statistics, Mathematics, Data Science, Industrial Engineering, etc.).
• 2–5 years of experience in data science, analytics, or statistical modeling, preferably within financial services, lending or customer analytics.
• Experience with SAS, SQL, R, or Python for statistical analysis and modeling.
• Proficient in MS Office and Excel.
• Strong analytical, problem-solving, and critical-thinking skills with the ability to connect technical insights to operational and customer outcomes.
• Solid understanding of statistical modeling techniques and their business applications.
• Effective communicator able to translate data into meaningful narratives for business partners.
• Strong organizational skills with attention to detail and the ability to manage multiple priorities.
• Excellent written and verbal communication skills, with the ability to collaborate across teams and present findings clearly.

PEAC Solutions is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to , , , , , , , , expression, marital status, , , protected veteran status, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

The successful candidate will receive competitive compensation along with our benefit package which includes medical, dental, vision, life insurance, short and long-term , 401(k) with match, flexible spending, and paid time off. PEAC provides one paid day off per year to support community involvement. Celebrate you by also having off your birthday on us!

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.