Data Scientist

📋 Description

• Designing and implementing core data science approaches for project workstreams, including the
• Combining deep domain expertise with advanced machine learning techniques to solve unique and
• Owning the end-to-end delivery of specific model components, ensuring they are scalable, robust
• Developing innovative algorithms or adapting existing frameworks to meet bespoke client
• Building the software architecture required to wrap models and agentic workflows into
• Supporting Level 1 Data Scientists by providing technical guidance and conducting rigorous peer

🎯 Requirements

• Expertise in statistical modeling and deep learning frameworks, such as PyTorch or TensorFlow, to
• Disciplined in extracting valid insights from messy or incomplete datasets, ensuring solutions
• Ability to translate high-level, ambiguous client needs into actionable data science requirements
• Promote a culture of shared best practices, ensuring all AI development is transparent, ethical
• Clear communicator who can manage technical discussions with customers and articulate project
• Highly proficient in advanced Python and harness frameworks, capable of building the architectures