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The Principal Data Scientist will lead significant data science work across AWTG and client programmes, shaping technical direction, standards and delivery approaches. The role requires deep expertise in data science, strong leadership and the ability to turn advanced analytics into organisational impact. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users.
Job Responsibility:
Lead the scoping, design and delivery of complex data science products, models and analytical solutions
Set standards for modelling, validation, reproducibility, coding, documentation and responsible AI practices
Identify opportunities to apply machine learning, predictive analytics, optimisation or advanced statistics to business challenges
Guide data scientists, analysts and engineers in selecting appropriate methods, architectures and tools
Influence stakeholders by communicating technical options, risks, benefits and evidence-based recommendations
Support capability building, mentoring and continuous improvement of the data science practice
Requirements:
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
Nice to have:
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