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Data Scientist / Statistician - Capital One UK
Data Scientist
Data Scientist focused on building robust machine learning models for financial data, leveraging deep learning for sequential analysis and multi‑modal data integration, with strong Python coding and statistical expertise.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning and deep learning models for sequential and multi‑modal financial datasets.
- Extract and engineer features from large, heterogeneous data sources, including Open Banking and Credit Bureau feeds.
- Collaborate with data engineers to ensure scalable, maintainable code and efficient data pipelines.
- Validate model performance, conduct statistical analysis, and present insights to cross‑functional teams.
- Document methodologies and maintain reproducible research artifacts.
Requirements
- Strong foundation in probability, statistics, and machine learning principles.
- Proficiency in Python with experience in libraries such as pandas, scikit‑learn, TensorFlow or PyTorch.
- Hands‑on experience building deep learning models for sequential data (e.g., RNNs, Transformers).
- Ability to work with large, multi‑modal datasets and perform feature extraction.
- Excellent communication skills and a collaborative mindset.
Skills
pythonmachine learningdeep learning