You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.
What you’ll be doing...
As a Consultant (Analytics) you will be a pivotal player in modernizing telecom financial operations. Bridging the gap between implementation and architectural strategy, you will design, develop, and deploy advanced AI/ML, Generative AI, and Agentic AI solutions tailored for the finance domain. Your work will transition complex financial workflows—such as Forecasting as a Service, Explainability framework, Funnel Forecasting, Customer Profitability etc., and also performing analyses that impact Bad Debt, Cash flow, Credit Score cut models, etc., among others—into automated, intelligent, and proactive systems.
You will own the end-to-end lifecycle of critical AI models while translating complex technical results into compelling business narratives for finance leadership.
Design and deploy core AI/ML and Generative AI solutions to optimize financial operations.
Build and orchestrate Agentic AI workflows to automate multi-step financial analysis and decision-making processes.
Utilize foundational models and AI assistants (e.g., Claude, GitHub Copilot) to rapidly prototype, iterate, and deliver agile AI solutions to meet dynamic business needs.
Engineer robust data pipelines and write complex SQL/BigQuery queries to extract and transform large-scale financial datasets using GCP and Python.
Act as a data storyteller—synthesizing complex AI/ML model outputs into clear, actionable, and prescriptive insights for non-technical finance stakeholders.
Implement MLOps best practices to ensure continuous integration, deployment, and monitoring of financial AI models in production environments.
Driving data-derived insights across the business domain by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives.
What we’re looking for...
Your primary focus will be transforming traditional financial operations into a proactive, AI-driven organization. You are a hands-on builder who thrives at the intersection of core ML, cutting-edge GenAI, and business strategy. You have a knack for rapid prototyping and possess the communication skills required to explain the "why" and "how" of AI to business leaders.
You'll need to have:
Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field or four or more years of work experience.
Four or more years of relevant work experience.
Three or more years of experience practicing data science, AI engineering, or machine learning, with a strong focus on core AI/ML, GenAI, and Agentic frameworks.
Experience with all phases of end-to-end Analytics project, such as (but not limited to): Ingestion, Munging, Model Building, Validation, Operationalization, Monitoring
Strong programming proficiency in Python and advanced SQL.
Proven experience working within cloud platforms (Teradata/ GCP) and using tools like BigQuery for large-scale data processing.
Demonstrated experience in rapid prototyping and building solutions leveraging Large Language Models (LLMs) and AI tools (e.g., Claude, Copilot).
Exceptional data storytelling and communication skills, with a proven ability to translate complex technical concepts into confident financial business decisions.
Even better if you have one or more of the following:
Advanced degree (Master’s) in Computer Science, Statistics, Data Science, or a related field.
Prior experience in the telecommunications industry specifically dealing with financial data, billing systems, FinOps, revenue assurance.
Hands-on familiarity with specific Agentic AI and orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex).
Experience in designing and deploying end-to-end MLOps and LLMOps pipelines.
A strong understanding of financial forecasting models, anomaly detection algorithms, and time-series analysis.
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.