Data Scientist

Description:

The team is seeking to engage Data Scientists who will collaborate with stakeholders to understand project needs, apply AI and machine learning methodologies, analyse data to maximise value, develop advanced analytics and stay updated on industry trends to enhance team

capabilities.

Key responsibilities including but not limited to:

• Collaborate with the stakeholders to understand project requirements and objectives and provide innovative solutions to meet their needs

• Demonstrate knowledge of current Artificial Intelligence and Machine Learning methodologies and practices in developing and monitoring

• Explore data assets and maximise value from data collections

• Undertake advanced analytics development or deploy Statistical Methods and Machine Learning

• Be aware of industry trends and research to contribute fresh ideas and enhance the team's capabilities

Key Attributes :

• Expertise in current tools, methods and technologies used within their domain of expertise while also having the ability to adapt to new technology and ensure they impart this knowledge to others

• Capacity to think strategically, develop plans and take initiative to resolve issues to enhance the achievement of business level outcomes

• Excellent communication and stakeholder engagement skills

• High-level organisational skills, be self-driven and possess initiative, with the ability to influence and shape behaviours to achieve tasks and business objectives

• Demonstrated ability to adapt to shifting priorities and compressed timelines

• Ability to translate technical concepts to stakeholders and collaborating across teams and external partners

• Capacity to align technical strategies with business goals and troubleshoot complex technical challenges

• Ability to lead, mentor, and develop a technical team, ensuring efficient operations and capability growth

• Demonstrated ability at creating technical documentation for technical maintenance and training purposes

Required Skills and Experience :

• Extensive experience of Python used in accessing, exploring and enriching data assets

• Demonstrable knowledge of current Statistical, Artificial Intelligence and Machine Learning methodologies and design processes

• Demonstrable experience of current practices in API access, Version Control (Git), and MLOps

• Demonstrable knowledge of best practices in data communications and visualisations.