Senior Data Scientist

We are looking for an experienced Senior Data Scientist to join a high-impact data and analytics environment, supporting Personal & Private Banking (PPB) and Digital channels.

The successful candidate will design, develop and optimise machine learning, AI and decisioning solutions that drive customer, risk and operational outcomes.

• Develop, train and optimise machine learning models using Databricks, MLflow and distributed compute environments
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• Build customer propensity, next best action, next best product, retention, engagement and customer value models
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• Develop risk, collections, fraud and operational models
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• Design and maintain reusable feature pipelines using Databricks Feature Engineering and Delta tables
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• Define and govern reusable enterprise features within the Databricks Enterprise Feature Store
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• Perform feature engineering, feature selection, statistical analysis, experimentation and model validation.
• Develop optimisation and decisioning models supporting customer engagement, product recommendations and operational strategies.
• Conduct model tuning, calibration, challenger modelling and performance benchmarking.
• Monitor model performance, stability, drift and business outcomes.
• Develop Generative AI / LLM use cases where applicable.
• Work with ML Engineers to product ionise models and features.
• Produce model documentation, validation reports and governance artefacts.
• Mentor junior Data Scientists and contribute to modelling standards and best practices.

• Strong hands-on experience with Databricks Notebooks, Workflows and MLflow
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• Experience with Databricks Feature Engineering and Feature Store
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• Strong Python and SQL skills.
• Strong knowledge of Machine Learning, Statistical Modelling and Feature Engineering
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• Experience with Predictive & Prescriptive Analytics
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• Experience developing customer decisioning and optimisation models
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• Experience working with large-scale customer, behavioural, transactional and digital datasets
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• Experience with model validation, monitoring, performance measurement and model governance
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• Knowledge of Generative AI, LLMs and prompt engineering
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• Ability to translate business problems into analytical solutions and measurable business outcomes.
• Strong stakeholder engagement and communication skills.
• Proven experience delivering end-to-end Data Science solutions from concept through production
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Degree in one of the following or a related quantitative field:

• Data Science
• Computer Science
• Mathematical Statistics
• Actuarial Science
• Mathematics
• Econometrics

Master’s or Doctorate will be advantageous.

• Databricks Machine Learning Engineer
• SAS Data Scientist
• Recognised Machine Learning, AI or Data Science certifications

Should you not receive any feedback within three (3) weeks of submitting your application, please consider your application unsuccessful.