at Insight Global, LLC in Warrenville, Illinois, United States
Job Description
Job Description
Day to day:
Working closely with the Sr. Data Scientist , this person will support strategic, PE-backed initiatives focused on introducing AI and predictive modeling across the business. They will primarily partner with the commercial/business development team to analyze large datasets, support market growth analysis, and build models to predict trends such as customer risk and contract outcomes. This role sits at the intersection of data and business, requiring both technical execution and strong stakeholder collaboration.
Responsibilities:
- Build and support predictive models for business initiatives - Analyze large datasets to uncover trends and insights related to growth and risk - Partner closely with commercial and business development teams - Assist in developing AI-driven strategies and initiatives - Work within cloud environments to access and process dataCommunicate insights and findings clearly to non-technical stakeholders
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
Must Haves:
- Bachelor’s degree in Data Science, Data Analytics, Computer Science, or similar technical field - 1-3 years of experience (entry-level / early career) - Hands-on experience building models (designing, developing, and working through modeling process) - Exposure to AI / predictive modeling - Basic understanding of MLOps concepts (theory-level understanding; doesn’t need deep hands-on experience) - Familiarity with cloud technologies (any platform; understanding of how models/data exist in cloud environments) - Strong Python skills - Ability to work cross-functionally with business teams and translate data insights - Strong communication skills Plusses: - Experience in a formal data scientist role - Exposure to tools/platforms like Spark, Databricks, or Microsoft FabricExperience accessing, cleaning, and working with data in cloud-based environments
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