Junior Data Scientist (Python + Sql)

Our client is seeking a Data Scientist to support multiple product squads in redesigning operational workflows and developing AI-enabled solutions. The role focuses on analysing large operational datasets, identifying anomalies and risk patterns, and building machine-learning models to improve decision-making and operational efficiency. Responsibilities Analyse large operational datasets to identify patterns, anomalies, outliers and potential risk indicators. Develop machine-learning models for anomaly detection, clustering, classification, segmentation and risk scoring. Perform feature engineering using structured and unstructured data, and evaluate model performance using appropriate metrics. Build and maintain scalable data pipelines and deploy production-ready models integrated with applications. Monitor model performance, data quality and data drift after deployment. Collaborate with engineers, product teams and domain experts to translate operational challenges into practical analytical solutions. Apply LLMs and other AI techniques alongside traditional machine-learning approaches where appropriate. Develop reusable analytical solutions and components for application across multiple projects. Requirements At least 2 years of relevant experience in data science or related field Degree in Data Science, Computer Science, Statistics, Machine Learning, Data Analytics, Information Systems or a related field. Strong proficiency in Python and SQL, with experience analysing large, complex operational or transactional datasets. Hands-on experience in applied data science, including statistical analysis, feature engineering, machine learning and model evaluation. Experience with anomaly detection, classification, clustering, risk modelling or similar techniques. Experience building data pipelines and deploying models into production environments. Familiarity with software engineering practices, including Git, automated testing and APIs