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

Nice to Have

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

What We're Looking For

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.