paced, cross-functional teams to deliver data-driven solutions iterative * Familiarity with SQL and experience in working with relational databases. * Knowledge of data pre-processing techniques, feature engineering, and model evaluation metrics. This is an excellent opportunity on a great project of work, If you are looking for your next exciting opportunity, apply now for your CV to reach More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
BDO
with other teams to understand and solve business problems About you: Python (pandas, NumPy, scikit-learn): For data wrangling, modelling, and feature engineering SQL: For querying structured data sources Model Development & Validation: Experience with classification, unsupervised learning (e.g. outlier detection), and ranking models Machine Learning Deployment: Familiarity with containerised deployment (e.g. Podman, SageMaker, DSW pipelines) Version Control (Git … risk trends over financial years Exploratory Data Analysis (EDA): To spot early signals or risk clusters Desirable: Rank Aggregation/Ensemble Techniques: Understanding methods like Robust Rank Fusion (RRF) Model Explainability Tools: e.g. SHAP, LIME to support interpretability Experience with Model Monitoring & Drift Detection Experience in RegTech/FinCrime/Data-led Supervision Projects is a plus Additional More ❯
