Analytics and AI Developer

About the role

The Analytics & AI Developer will develop and implement analytical systems supporting daily operations of key business processes, including quoting, lease conversion, recalculations, and lease settlements or terminations. This role collaborates closely with Client Success, Account Management, and Business Development teams to map out and deliver consulting and analytical services for strategic clients and prospects.

Responsibilities

• Analyze consultancy requests to prioritize development tasks and deliverables.
• Promote the use of proprietary and industry data to support client decision-making, identifying new opportunities.
• Leverage tools such as Python, SQL, Shell, and MS Power Platform to extract, manipulate, and format data for analytical reporting.
• Develop or collaborate on predictive ML models to identify cause-and-effect relationships, trends, and operational performance factors.
• Design and maintain tools for critical calculations, including risk-based quoting, lease conversion, recalculations, customer billing, and lease settlements or terminations.
• Maintain a comprehensive understanding of FleetLab initiatives, including vehicle contract enforcement and operational/financial forecasting.
• Work closely with internal and external stakeholders to understand business needs and deliver actionable, data-driven insights.
• Assist in developing project requirements, analytic plans, timelines, and related materials to ensure timely delivery of results.
• Maintain a deep knowledge of overall business operations and strategic objectives.
• Provide day-to-day guidance and feedback (no direct management responsibilities).

Skills

• Skilled in planning, developing, testing, delivering, and maintaining multiple solutions while managing workloads and competing priorities.
• Technical proficiency in AI/ML environments, including Python, JupyterLab, and Streamlit (or equivalents).
• Familiarity with advanced frameworks such as OpenAI, LangChain, and similar LLM/AI development frameworks or APIs.
• Well-versed in key ML principles, including regression, classification, forecasting, and model management.
• Proficient in development architecture and operations, including code versioning (Git/GitHub), containerization (Docker), and microservices.
• Strong collaborative and communication skills, capable of articulating solutions to both technical and non-technical stakeholders.
• Results-oriented with a focus on accountability and exceeding expectations.

Qualifications

• Bachelor’s degree required, preferably in Business or Finance.
• 3+ years in quantitative roles in Fleet Management, Financial Services, or Banking.
• 1+ years in analytical (AI/ML) tools development.
• Demonstrated technical proficiency in systems and data, with Python, SQL, ML, and LLM experience preferred.
• Excellent verbal and written communication skills.

Benefits

Wheels offers a robust, market-leading benefits package, including comprehensive health care, retirement plans, and family support programs. Click here for an overview of available benefits.

Pay

Base salary range: $73,300–$102,600. This position is eligible for participation in the annual incentive plan based on company and individual performance.

Schedule

• Full-time, Monday through Friday.
• Hybrid position based in Georgia.
• Less than 15% travel expected.

Core Values

• Integrity: Always act with integrity and honesty.
• One Team: Treat others with dignity and respect; act as a cohesive, inclusive, and accountable team.
• Innovation: Drive continuous improvement, spark creativity, and embrace next-generation thinking.
• Customer Success: Ensure customer and driver success is at the heart of everything we do.

Cultural Attributes

• Discipline Drives Quality: Plan proactively, hold a high bar, and follow through to produce quality outcomes.
• Intellectually Curious: Challenge assumptions, think differently, and unlock new possibilities.
• Commit and Deliver: Take responsibility for your work and be accountable for results.
• Relationships Matter: Build trust with internal and external stakeholders as a driver of success.