INTL Remote Data Scientist/Data Engineer

Job Description We are seeking a Data Scientist / Data Engineer to support a high‑impact internal engineering modernization initiative. This role will focus heavily on data pre‑processing, cleaning, and transformation of large volumes of complex legacy data, with future phases expanding into machine learning and AI‑driven capabilities. The individual will work on automating a historically manual, engineering‑driven process by transforming years of semi‑structured data into a scalable, searchable solution supported by a user interface. This role is ideal for someone who enjoys working with messy, real‑world data, building robust pipelines, and contributing to systems that directly support engineers and customers. 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.

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• 4+ years of experience as a Data Scientist and also experience as a Data Engineer
• Strong LLM/NLP
• Strong python-based ML experience
• Experience designing, building, and maintaining data processing and ETL pipelines using Python and SQL.
• Experience performing data cleaning, scrubbing, and standardization across large legacy datasets.
• Experience leverage Databricks and Azure data platforms to support scalable data processing.
• Strong Python programming experience
• Hands‑on experience building data pipelines and ETL workflows.
• Strong SQL skills; PostgreSQL experience preferred.
• Experience parsing and working with Excel data.
• Proven experience with data cleaning, normalization, and pre‑processing.
• Experience working with legacy, inconsistent, or unstructured datasets.