Data Scientist

EXL

Data Scientist developing NLP and AI models for call center efficiency. Collaborating with stakeholders to enhance customer experience and streamline operations.

Posted 7/10/2026full-timeHartford • Connecticut • 🇺🇸 United StatesMid-LevelSenior💰 $70,000 - $115,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying NLP and LLM-powered models, with a strong focus on transforming unstructured data into actionable insights. Proficient in Python, SQL, and cloud environments, particularly Google Cloud Platform, while possessing hands-on experience in prompt engineering and model evaluation.

Highest-signal resume keywords

NLP ExpertiseLLM-Based Solutions DevelopmentPrompt EngineeringModel Evaluation FrameworksGoogle Cloud Platform Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceApplied NLPMachine LearningText ClassificationText EmbeddingsClusteringError AnalysisSystematic DebuggingPythonSQL

Soft Skills

Actionable Insights TranslationDocumentation Skills

Tools & Technologies

Google Cloud PlatformLangChainRAGConversational AI Frameworks

Industry Keywords

HealthcareContact CenterAI-Driven Solutions

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Design, develop, and deploy NLP and LLM-powered models that extract meaning, intent, outcomes, and sentiment from call, chat, and other digital interactions.
Help translate complex data into actionable insights, ensuring AI-driven solutions are not only built, but adopted and impactful.
Contribute to a mission to simplify the customer journey, reduce avoidable call volume, and improve call center efficiency by turning unstructured customer interactions into structured, actionable intelligence.

Requirements

What you’ll need

3+ years of experience in data science, applied NLP, or machine learning
Production experience building LLM-based solutions in cloud environments
Hands-on experience with prompt engineering and fine-tuning transformer-based models
Experience with NLP, text classification, text embeddings, and clustering
Ability to design and build evaluation frameworks to measure model quality, including detecting hallucinations and assessing LLM output reliability
Experience working with limited or noisy labeled data
Strong error analysis and systematic debugging skills to diagnose and improve model performance
Ability to produce clean handoffs to data engineering, including documentation, artifacts, and monitoring recommendations
Proficiency in Python and SQL
Healthcare or contact center domain experience
Experience with Google Cloud Platform (GCP)
Experience with conversational AI frameworks (e.g., LangChain, RAG, dialog systems)
Familiarity with version control and software engineering best practices

Benefits

Comp & perks

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits