Data Scientist - Financial Services

We are looking for a data scientist to work with Financial services in London, UK Description • Looking for talented and experienced data scientists with experience to join the programme. Solid knowledge and experience of AI and ML is essential. • Design and develop AI / ML based solutions • Work with other data scientists to build and deploy production-level solutions • Troubleshoot and debug code • work with other teams to understand and solve business problems Essential • 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): To maintain reproducible and collaborative workflows • Time-Series Analysis: To assess risk trends over financial years • Exploratory Data Analysis (EDA): To spot early signals or risk clusters Desirable/ Advance Skills • 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 • Experience developing solutions for record linkage and/or network analytics tasks • Experience with graph query languages (e.g., Gremlin, Cypher), graph database platforms (e.g., Neptune, Neo4j), and/or graph visualisation platforms