Data Science / ML Engineer
Data Science /ML Engineers
Location - Glasgow, (Edinburgh is also fine)
Duration - 6 months
Onsite Requirements - 2-3 days onsite
Skills
Analytics Centre of Excellence is looking for experienced ML Engineer to support a new initiative focused on Transaction Monitoring (TM) for Business Banking. A similar machine learning-driven transaction monitoring capability is already underway within Retail Banking, and the team is now expanding these capabilities into the Business Banking space.
Required Skills
- Strong Python programming skills, including data analysis using libraries such as Pandas
- Strong understanding of Machine Learning, including both supervised and unsupervised techniques
- Experience with tree-based and boosting algorithms such as XGBoost, LightGBM, and related approaches
- Experience working with large-scale datasets, ideally using PySpark
- Strong analytical and SQL skills for handling, querying, and interpreting complex datasets
- Ability to communicate insights effectively through visualisations using tools such as Matplotlib, Plotly, or similar
- Exposure to model interpretability techniques such as SHAP and LIME
- Previous experience within the Banking / Financial Services sector
- Familiarity with Financial Crime, AML, Compliance, or Transaction Monitoring domains
Candidates with a strong data science and machine learning background who are keen to apply their skills to real-world financial crime and transaction monitoring challenges. While prior domain experience is beneficial, strong technical capability and a willingness to learn the business context are most important.
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