Data Scientist

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