Data Scientist

Location: Glasgow – Hybrid (2–3 days onsite per week)

• Data Science, Machine Learning, and Advanced Analytics.
• Python or R, Pandas, NumPy, and Scikit-learn.
• statistics, predictive modelling, and feature engineering.
• SQL, large datasets, and cloud platforms (AWS, Azure, or GCP).
• Banking or financial services experience, with an understanding of MLOps, model deployment, and monitoring.

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