Job Description We are seeking a motivated Junior Data Scientist to join our growing analytics team. In this role, you will leverage your expertise in machine learning and data manipulation to build, deploy, and optimize predictive models that drive business insights. You will work with large, complex datasets—ingesting, processing, merging, and aggregating data to uncover meaningful patterns and trends. Strong programming skills in Python and SAS/SQL will be essential as you collaborate with cross-functional teams to translate data into actionable strategies. This position offers an exciting opportunity to apply your technical skills while learning from senior data scientists and contributing to impactful projects across the organization. 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 2+ years of experience building and deploying machine learning models 2+ years of experience manipulating large datasets (ingestion, processing, merging, aggregation) Strong programming skills in Python and SAS/SQL Experience with cloud-based data platforms (AWS, Azure, or GCP) Knowledge of data visualization tools (Tableau, Power BI, or similar) Familiarity with statistical modeling or advanced analytics techniques