This is an exciting opportunity for someone who is passionate about technology, data, and machine learning, and is eager to contribute to a forward-thinking, collaborative environment.

The Data Scientist will be responsible for building and deploying machine learning models to support personalisation, recommendations, anomaly detection, and data insights. The role involves working within modern ML Ops practices and leveraging AI-powered development tools to increase efficiency and scale.

Key Responsibilities

• Develop and deploy machine learning models for various use cases including personalisation and anomaly detection

• Implement ML Ops practices including monitoring, continuous integration, and automated retraining

• Use AI-assisted development tools such as Cursor and Copilot to enhance productivity

• Collaborate with engineers, DevOps, and leadership to ensure robust data pipelines and translate business requirements into technical solutions

Requirements

• 3+ years of hands-on experience in applied machine learning and deploying production models

• Proficiency in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, or scikit-learn

• Experience with AWS services and Databricks; understanding of ML Ops is highly beneficial
  Ability to quickly adapt to new tools and independently deliver scalable solutions

• Familiarity with data pipelines involving Kafka, Debezium, S3, Lambda, and Delta Lake is a plus

Apply now to find out more!