Data Scientist

Description

• Build reproducible data science workflows, including data preparation, feature engineering, model training, and monitoring.
• Keep up to date with emerging modelling techniques and apply them where appropriate.
• Work closely with data professionals to ensure pipelines and model outputs are robust, automated, and production-ready, applying best practices in coding, ML Ops, version control, and data governance.
• Design, develop, validate, and deploy machine learning and statistical models in Python within Databricks.
• Partner with product owners and stakeholders to scope opportunities where data science can drive value.

Requirements

• Solid working knowledge of SQL and the ability to design, implement, and productionise models.
• Experience working in cloud-based analytics platforms, ideally Databricks, with a high attention to detail and rigorous approach to data quality and model validation.
• A Master’s degree (or higher) in a quantitative field (Computer Science, Applied Science, Engineering, Mathematics etc) or equivalent.
• Extensive, demonstrable experience in a data science or applied analytics role, post qualification.
• Proven hands-on expertise with Python for statistical analysis, machine learning, and data manipulation.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance