Senior Consultant – Data Science

Verizon

Consultant (Analytics) responsible for modernizing telecom financial operations utilizing AI/ML solutions. Collaborating on advanced analytics to streamline financial processes and deliver insights for leadership.

Posted 7/11/2026full-timeHyderabad • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI/ML solutions tailored for financial operations, with a strong focus on data storytelling and translating technical results into business insights. Proficient in building robust data pipelines and implementing MLOps best practices to optimize financial workflows.

Highest-signal resume keywords

AI/ML Solution DesignPython ProgrammingSQL/BigQuery ProficiencyCloud Platform Experience (GCP)Data Storytelling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/MLGenerative AIAgentic AIData ScienceMachine LearningStatistical ModelingComplex SQL QueriesData Pipeline EngineeringMLOps Best PracticesLarge Language Models (LLMs)

Soft Skills

Communication SkillsData Storytelling

Tools & Technologies

GCPBigQueryClaudeGitHub CopilotTeradata

Industry Keywords

Telecom Financial OperationsForecasting as a ServiceExplainability FrameworkCustomer ProfitabilityAnalytics Project Lifecycle

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

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.
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.
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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development