My client, a global IT services provider, is seeking a Data Scientist to support a high-impact AI initiative within a commercial banking environment. This role sits within a collaborative delivery team focused on advanced analytics and machine learning solutions that drive strategic insights and operational efficiency.

Responsibilities

• Collect, clean, and preprocess structured and unstructured data from diverse sources
• Perform exploratory data analysis (EDA) to uncover trends and anomalies
• Design and implement data pipelines in collaboration with data engineering teams
• Apply feature engineering and selection techniques to enhance model performance
• Build and validate ML models for prediction, classification, clustering, and optimization
• Use libraries such as Scikit-learn, TensorFlow, and PyTorch for supervised and unsupervised learning
• Implement NLP, time-series forecasting, and optimization algorithms as needed
• Collaborate with MLOps teams to deploy production-grade pipelines
• Communicate insights through dashboards and visualizations using Power BI, Tableau, or Python
• Engage with stakeholders to define use cases and success metrics
• Participate in Agile ceremonies and contribute to the enterprise AI roadmap

Required Skills

• Proven experience in data science and machine learning
• Strong Python skills and familiarity with ML libraries (Scikit-learn, TensorFlow, PyTorch)
• Experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn)
• Ability to translate complex model outputs into actionable business insights
• Excellent communication skills with both technical and non-technical audiences
• Familiarity with Agile methodologies and cross-functional collaboration
• Background in banking or financial services is a plus

Ready to make an impact in a high-profile AI project within the financial sector? We're keen to hear from you - apply now.

Randstad Technologies is acting as an Employment Business in relation to this vacancy.