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