Senior Data Scientist

As a Senior Data Scientist, you will work on intriguing challenges using advanced analytics, machine learning, and data science techniques in an agile environment. You will develop models and be instrumental in end-to-end solution creation, including productionisation, automation, and implementation.

Requirements

• Commercial experience as a Data Scientist or related working experience, e.g., Machine Learning Engineer
• Experience in financial services organisation or financial modelling experience is essential
• Expertise in machine learning algorithms and mathematical fundamentals
• Experience in the full lifecycle of developing, deploying, and maintaining machine learning models in the cloud, such as Sagemaker and AWS
• Demonstrated experience writing high-quality Python code, R or Scala
• Exposure to data visualisation libraries and products (e.g., PowerBI, Tableau) and working in a DevOps environment (e.g., Git)

Benefits

• Hybrid working arrangement designed to support work-life balance, while fostering meaningful connection and collaboration
• Holistic wellbeing programs offering 24/7 support, including medical, mental health, and financial wellbeing services
• Generous paid Parental Leave: 18-26 weeks leave for primary carers and up to 4 weeks for secondary carers
• An additional week’s Loyalty Leave each year after reaching 3 years’ service
• Wellness initiatives with a strong focus on psychological safety