Data Scientist - Financial services

We are looking for a data scientist to work with Financial services in London, UKDescriptionLooking 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 solutionsWork with other data scientists to build and deploy production-level solutionsTroubleshoot and debug codework with other teams to understand and solve business problems EssentialPython (pandas, NumPy, scikit-learn): For data wrangling, modelling, and feature engineeringSQL: For querying structured data sourcesModel Development & Validation: Experience with classification, unsupervised learning (e.g. outlier detection), and ranking modelsMachine Learning Deployment: Familiarity with containerised deployment (e.g. Podman, SageMaker, DSW pipelines)Version Control (Git): To maintain reproducible and collaborative workflowsTime-Series Analysis: To assess risk trends over financial yearsExploratory Data Analysis (EDA): To spot early signals or risk clustersDesirable/ Advance SkillsRank Aggregation/Ensemble Techniques: Understanding methods like Robust Rank Fusion (RRF)Model Explainability Tools: e.g. SHAP, LIME to support interpretabilityExperience with Model Monitoring & Drift DetectionExperience in RegTech / FinCrime / Data-led Supervision Projects is a plusExperience developing solutions for record linkage and/or network analytics tasksExperience with graph query languages (e.g., Gremlin, Cypher), graph database platforms (e.g., Neptune, Neo4j), and/or graph visualisation platforms