Data Scientist, LLM

This person will be responsible to build and scale enterprise-grade AI/ML products within our centralized Data Science team. This person will be designing and deploying GenAI models for enterprise use cases such as personalization, demand forecasting, and content summarization. This person will be supporting a project that works with unstructured data as it relates to content and text from various points of the organization and build out Genai capabilities to analyze and report on the unstructured data. This role focuses on developing intelligent, production-ready solutions that power personalization, forecasting, and automation across our digital platforms. The ideal candidate is a strong problem-solver, able to work independently, and comfortable supporting collaboration across time zones—including occasional calls outside standard working hours.

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 HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

• 3+ years of experience building and deploying ML models in enterprise environments
• Proficiency in PySpark, Python, and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with propensity and/or churn modeling
• Strong coding skills and experience with scalable data workflows and model deployment and experience working with recommendation modeling
• Experience with predictive analytics
• Familiarity with GenAI, LLMs, and NLP techniques- current experience building out Genai capabilities
• Ability to work independently and manage priorities in a fast-paced environment.
Availability to support meetings or calls outside standard working hours as needed.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.