Vice President - Data Scientist
Posted 5 days ago
Posted 5 days ago
Description:
- Exceptional ability to extract strategic insights from large data sets and communicate these to non-technical business stakeholders
- Experience with multiple of the following methods: PCA, MDS, factor analysis, regression analysis, choice models, cluster analysis, density estimation, kernel methods, Bayesian methods, classification, decision trees, MCMC, systems dynamics, gradient boosting, NLP
- Significant experience applying machine learning methods with big data technologies.
- Significant experience in Python and the key analytical and machine learning libraries. Able to write production quality code with strong grasp of key coding principles: e.g. separation of concerns, generalisation of code.
- Understanding of GenAI , LLMs and the RAG framework
- Ability to understand and translate the pattern recognition, exploration of the data, machine learning and algorithmic learning
- Actively seeks out and applies new analytical methods that can improve the speed and quality of the decision takes within Barclays Business
- Experience in providing technical mentoring to more junior colleagues.
Desirable skillsets/ good to have:
- Masters or PhD in a highly numerate discipline such Statistics, Mathematics, Physics, Computer Science or Engineering with a strong programming background.
- Experienced in creating business models, both financial and consumer behavioural.
- Extensive experience of statistical analysis, data mining and visualisation techniques.
- Experience of data warehouse and MI environments and practises with good working knowledge of SQL and at least one business intelligence package (Tableau/PowerBI).
- Experience in PySpark and a Hadoop environment.
- Project management and cross functional matrix leadership experience.
- Experience in line management of data scientists.
- Experience in front end development frameworks such as Angular/React Flask/Streamlit.
- MVC Architecture.
- Experience of Agentic AI.
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