Sr Engr Cslt-Data Science

When you join Verizon

You want more out of a career. A place to share your ideas freely even if theyre 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 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 youll 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 workflowssuch 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 othersinto 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 storytellersynthesizing 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 were 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.

Youll need to have:

• Bachelors 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 (Masters) 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.

Where youll be working

Scheduled Weekly Hours

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race gender disability or any other legally protected characteristics.