Faculty

Data Scientist

• Guiding the technical delivery of Frontier deployments, from initial discovery to the productionisation of computational twins.
• Owning the end-to-end data science approach, including designing and implementing optimal techniques from EDA to deep learning.
• Partnering with commercial teams and clients as a trusted technical advisor to build strong, lasting relationships.
• Articulating complex technical concepts, model design choices, and strategic decisions clearly to diverse C-suite and engineering audiences.
• Formally managing and mentoring data scientists, taking direct responsibility for their professional growth and career progression.
• Establishing a distinct data science vision and driving best practices for configuring the Frontier product.
• Keeping abreast of the latest advancements in AI and identifying how they can be incorporated into the Frontier product and delivery workflows.

Lead Data Scientist – Customer Development

• Designing and building agents in high-consequence environments, where outputs need to be validated to a high standard
• Performing exploratory data analysis, model building, validation, and performance monitoring.
• Leading data science efforts within cross-functional delivery teams—partnering with engineers, designers, and product leads for successful outcomes.
• Understanding deeply core customer problems to ensure technical solutions drive real value
• Translating real-world problems into technical strategies and measuring model impact with scientific rigor

Lead Data Scientist – Customer Development

Senior Data Scientist – Fixed-Term Contract