- Salary
- £300 – £500/day
- Location
- London, England, London, United Kingdom
- Workplace
- Hybrid
- Type
- Contract
- Department
- Education
Description
Work mode: Hybrid, 3 days WFOContract duration: 6 monthsLocation: London, UKStart date of the project: 1st of September 2026---------------------------------------JOB DETAILSRole Title: Data Scientist (2 OPENINGS)Years of experience: 3-5 yearsAreas of responsibility:Detailed Job Description:Grade & Definition: Consultant - Substantial experience between 3-5 years and an in-depth knowledge of their specialist field.Purpose of the Role: We are looking for talented and experienced data scientists with experience to join our programme. Solid knowledge and experience of AI and ML is essential.Background: To work with the existing delivery team to deliver models, documentation and associated productionised services.Responsibilities:· 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 problemsKnowledge & Experience Requirements: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 yearsExploratory Data Analysis (EDA): To spot early signals or risk clustersDesirable/Advanced 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
