Data Scientist - Contact Intelligence

Job Description

We are seeking a Senior Data Scientist to support the evolution of a member-facing conversational AI and IVR platform by extracting insights from large volumes of chatbot and call transcript data. This role will focus on applied NLP and LLM techniques to analyze text-based interactions, identify trends and gaps in user intent, and translate those insights into clear recommendations that inform the product roadmap and feature development for the virtual assistant. The ideal candidate brings a strong analytical mindset, is comfortable working with ambiguous text data, and can partner with business and product stakeholders to drive action—not just analysis.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

• Hands-on experience applying LLMs and/or NLP techniques to real-world textual data (e.g., chatbot conversations, call transcripts, unstructured text)

• Strong analytical data science mindset with the ability to identify insights, patterns, and “so what” outcomes from data

• Proficiency in Python and SQL

• Experience translating analysis into actionable recommendations for product or business stakeholders

• Comfort collaborating with cross-functional partners and participating in stakeholder discussions

Background in a technical or analytical field (STEM preferred, but not required if experience is strong)