​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

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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