Senior Consultant – Data Science

Jobtailor; Hyderabad; On-site; INR 1,100,000 - 1,700,000; Full time

Job summary

Jobtailor in Hyderabad seeks a Consultant (Analytics) to modernize telecom financial operations with AI/ML, GenAI, and Agentic AI solutions. You will bridge implementation and architecture, building robust data pipelines and end-to-end AI model lifecycles in a finance domain.

You will prototype rapid AI solutions using Claude and Copilot, craft scalable data pipelines, and translate complex results into actionable business insights for finance leadership, driving data-driven decisions across the

Qualifications

• Bachelor’s degree in CS/DS/Stats/Math or 4+ years of work experience.
• 4+ years of relevant work experience.
• 3+ years of experience in data science, AI engineering, or ML with focus on core AI/ML, GenAI, and Agentic frameworks.
• Experience with end-to-end Analytics projects (Ingestion, Munging, Model Building, Validation, Operationalization, Monitoring).
• Strong Python and advanced SQL skills.
• Experience with cloud platforms (Teradata/ GCP) and BigQuery for large-scale data processing.
• Experience with LLMs and AI tools (Claude, Copilot).
• Excellent data storytelling and ability to translate technical concepts into financial business decisions.

Responsibilities

• Modernize telecom financial operations through AI/ML solutions.
• Design, develop, and deploy AI/ML, GenAI, and Agentic AI solutions for finance.
• Transition complex financial workflows (Forecasting as a Service, Explainability, Funnel Forecasting, Customer Profitability).
• Own end-to-end lifecycle of AI models; translate results into business narratives for finance leadership.
• Design and deploy core AI/ML solutions to optimize financial operations.
• Build and orchestrate Agentic AI workflows for multi-step financial analysis and decision-making.
• Prototype and deliver AI solutions using foundations models and AI assistants (Claude, Copilot).
• Engineer data pipelines and write complex SQL/BigQuery queries for large-scale datasets (GCP, Python).
• Implement MLOps for CI/CD and monitoring of financial AI models; derive insights via advanced models.

Skills

Python

SQL

Data Science

Machine Learning

GenAI

Agentic AI

BigQuery

GCP

MLOps

Data storytelling

Cloud platforms

Education

Bachelor’s degree in Computer Science / Data Science / Statistics / Mathematics

4+ years of relevant work experience

Tools

Claude

GitHub Copilot

BigQuery

Teradata

GCP

Job description

Responsibilities

• 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

• 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.

Core Competencies

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.