Analytics and AI Developer
Listed on 2026-08-22
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IT/Tech
Data Analyst, AI Engineer (Applied/Software), Data Science Manager
Job Overview
Job Description:
JOB OVERVIEW The Analytics & AI Developer will be responsible for developing and implementing analytical systems that support the daily operations of key business processes, including quoting, lease conversion, recalculations, and lease settlements or terminations. Additionally, this role will collaborate closely with the Client Success, Account Management, and Business Development teams to map out and deliver the consulting and analytical services required to meet the needs of strategic clients and prospects.
- - ESSENTIAL FUNCTIONS Planning & Prioritization:
Analyzes consultancy requests to effectively prioritize development tasks and deliverables. - - Promotes Data Utilization for Decision-Making: maps and promotes use of proprietary and industry data to support client decision-making processes, constantly monitoring for new opportunities.
- - Advanced Data Analysis:
Leverages tools such as Python, SQL, Shell, and MS Power Platform to extract, manipulate, and format data for analytical reporting. - - Modeling Development:
Develops or collaborates on the creation of predictive ML models to identify cause-and-effect relationships, trends, and operational performance factors. - - Development:
Designs and maintains tools for critical calculations, including risk-based quoting, lease conversion, recalculations, customer billing, and lease settlements or terminations. - - Shows Expertise:
Maintains a comprehensive understanding of current Fleet Lab initiatives, including complex topics such as vehicle contract enforcement and operational/financial forecasting. - - Stakeholder
Collaboration:
Works closely with internal and external stakeholders to understand business needs and deliver actionable, data-driven insights. - - Project Support:
Assists in the development of project requirements, analytic plans, timelines, and related materials to ensure the timely delivery of results. - - Comprehensive Business Understanding:
Maintains a deep knowledge of overall business operations and strategic objectives.
No direct management responsibilities, but will provide day-to-day guidance and feedback
Competencies - Skills- - Capable of Managing Complex Solutions:
Skilled in planning, developing, testing, delivering, and maintaining multiple solutions while effectively managing workloads, balancing competing priorities, and maintaining flexibility to meet dynamic work demands. - - Technical Proficiency in AI/ML:
Experienced with AI/ML environments, including tools such as Python, Jupyter Lab, and Streamlit (or equivalents). - - Familiarity with Advanced Frameworks:
Knowledgeable in OpenAI, Lang Chain, and similar LLM/AI development frameworks or APIs. - - Knowledgeable in Machine Learning Concepts:
Well-versed in key ML principles, including regression, classification, forecasting, and model management. - - Foundational Knowledge of Development Operations:
Proficient in development architecture and operations, including code versioning (Git/Git Hub), containerization (Docker), and microservices. - - Collaborative and Communication
Skills:
Builds strong working relationships, fosters a collaborative environment, shares knowledge effectively, communicates clearly (both verbally and in writing), and demonstrates self-control under pressure. Skilled at articulating solutions effectively to both technical and non-technical stakeholders. - - Accountability and Results-Oriented:
Takes ownership of work and projects, delivering results that exceed expectations while demonstrating a results-driven mindset.
Bachelor’s degree required, preferably in Business or Finance. 3+ years in quantitative roles in Fleet Management/Financial Services/Banking field. 1+ years in analytical (AI/ML) tools development Demonstrates technical proficiency in using systems and data. Python, SQL, ML, LLM experience preferred. Excellent communication (verbal, written) skills required.
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 that is making a difference.
- Innovation – Drive…
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