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