Job Description As an early member of the company's newly formed Data & AI team, you will work closely with the Team Lead to build the function from the ground up and scale our client project delivery. 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/. Skills and Requirements Required: • Bachelor's degree in Computer Science, Statistics, Economics, Data Science, or related field • 6+ years of professional experience with Python in production environments • Proven track record of deploying AI/ML models to production and solving real business problems • Strong proficiency with the PyData stack: pandas/polars, scikit-learn, matplotlib • Solid SQL skills for data querying and manipulation • Experience with agentic AI frameworks (Pydantic AI preferred, or similar) • Proficiency with Jupyter or Marimo notebooks for exploratory analysis and prototyping • Strong GitHub skills and collaborative development practices • Client-facing experience is non-negotiable – you must be comfortable presenting to and advising clients • Practical, hands-on experience (not just academic or theoretical background) • Willingness to travel Nice to Have: • Consulting or professional services background • Startup experience (ideally a mix of both consulting and startup environments) • Frontend or full-stack development skills for added versatility • Experience with dbt for data transformation workflows • Familiarity with cloud platforms (AWS, Azure, GCP) • Experience in retail, CPG, or entertainment/events industries • Knowledge of additional ML frameworks (LangChain, TensorFlow, PyTorch)