Data Science / ML Engineer

Data Science /ML EngineersLocation - Glasgow, (Edinburgh is also fine)Duration - 6 monthsOnsite Requirements - 2-3 days onsiteSkillsAnalytics 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 SkillsStrong Python programming skills, including data analysis using libraries such as PandasStrong understanding of Machine Learning, including both supervised and unsupervised techniquesExperience with tree-based and boosting algorithms such as XGBoost, LightGBM, and related approachesExperience working with large-scale datasets, ideally using PySparkStrong analytical and SQL skills for handling, querying, and interpreting complex datasetsAbility to communicate insights effectively through visualisations using tools such as Matplotlib, Plotly, or similarNice to HaveExposure to model interpretability techniques such as SHAP and LIMEPrevious experience within the Banking / Financial Services sectorFamiliarity with Financial Crime, AML, Compliance, or Transaction Monitoring domainsWhat We're Looking ForCandidates 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 #J-18808-Ljbffr