Senior Data Scientist / Machine Learning Engineer

We are looking for an experienced Data Scientist / Machine Learning Engineer to help develop data-driven solutions within a large financial organisation. You will work at the intersection of data science, software engineering and business, turning complex datasets into scalable solutions that can be used in real-world applications. What you'll do • Develop and productionise machine learning models • Analyse large and complex datasets to identify patterns and opportunities • Build data processing and feature engineering pipelines • Develop Python-based data and machine learning solutions • Collaborate with Data Engineers, Software Engineers and business stakeholders • Experiment with different statistical and machine learning techniques • Deploy, monitor and improve models in production • Contribute to MLOps and model lifecycle management • Translate business challenges into scalable technical solutions What we're looking for • 5+ years of experience in Data Science, Machine Learning or a related field • Strong Python skills • Strong understanding of statistics and machine learning • Experience with pandas, NumPy and scikit-learn or similar frameworks • Experience working with large datasets • Experience bringing models into production • Understanding of software engineering principles • Experience working in multidisciplinary Agile teams Nice to have • Experience with Azure • Experience with Databricks or Spark • Experience with MLOps • Experience with MLflow or similar tooling