Mid-level data scientist role building ML and AI solutions for clients.
Develop machine learning models, statistical analyses, and AI-powered solutions for diverse business use cases including segmentation, forecasting, and anomaly detection. You'll work with structured and unstructured data in cloud environments like Databricks and GCP, partner cross-functionally with analysts and engineers, and communicate findings to non-technical stakeholders. Requires 3+ years of hands-on experience with supervised/unsupervised learning, feature engineering, and model evaluation in production contexts.
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Found at a specialist agency · listed 28 August 2026 · InsideJobs links you to the original posting.