Principal Data Scientist

technical options, risks, benefits and evidence-based recommendations. Support capability building, mentoring and continuous improvement of the data science practice. Essential skills and experience Extensive experience designing and delivering advanced data science solutions at scale. Deep understanding of applied statistics, machine learning, model validation and data science product delivery. Strong programming capability and ability to set coding, testing and reproducibility standards. Experience working with data engineering, cloud, architecture and software teams to deliver supported solutions. Strong stakeholder communication skills, including challenging delivery plans and priorities when required. Strong understanding of data ethics, privacy, bias, explainability and governance. Desirable skills and experience Experience with MLOps, AI platforms, NLP/LLMs, knowledge graphs or real-time data products. Experience setting data science strategy or leading cross-functional technical communities. Experience in consulting, public-sector, regulated or high-complexity client environments. What success looks like Complex data science work is delivered with clear standards and measurable business impact. Technical choices are well governed, scalable and aligned to delivery realities. Data science capability grows through mentoring, reusable patterns and shared practice. #J-18808-Ljbffr