Work mode: Hybrid, 3 days WFO
Contract duration: 6 months
Location: London, UK
Start date of the project: 1st of September 2026
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JOB DETAILS
Role Title: Data Scientist (2 OPENINGS)
Years of experience: 3-5 years
Areas 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 problems
Knowledge & 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 years
Exploratory Data Analysis (EDA): To spot early signals or risk clusters
Desirable/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
Data Scientist • London, England, London, United Kingdom
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