Data Scientist

Role Overview

Join our team as a Data Scientist to use relevant data to tackle complex business challenges and turn insight into measurable outcomes. You’ll work across a varied portfolio of customer, commercial, and operational problems.

What You Will Do

Design, build, test, and deploy statistical and machine learning models to solve customer, commercial, and operational challenges. Analyse large and complex datasets to identify patterns, opportunities, and drivers of customer behaviour.

Why It Might Be a Fit

We’re looking for a Data Scientist with experience applying statistical analysis and machine learning to real-world business problems. You’ll have the opportunity to build reusable, production-ready solutions and see the real-world impact of your work.

Requirements

• Experience applying statistical analysis and machine learning to real-world business problems
• Strong programming skills in Python and SQL, with experience working with large and complex datasets
• Experience with, or exposure to, PySpark and Databricks
• A good understanding of machine learning techniques
• Experience or knowledge of production ML practices such as Git, CI/CD, MLflow, automated testing, model deployment, and monitoring
• Strong analytical thinking
• The ability to explain complex analytical approaches, assumptions, and results clearly to both technical and non-technical audiences
• A collaborative and curious approach, with a willingness to learn, challenge existing thinking, and share knowledge

Tagged as: Python, SQL