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Data sits at the heart of the company. This role ensures that Awin can fully leverage the data available across the group, enabling the development of robust reporting capabilities that support stronger commercial decision‑making and elevate campaign management for client‑facing teams. As a Senior Data Scientist within the Core Platform team, you will drive the development, governance, and enablement of Awin’s AI platform. Your role focuses on defining best practice standards, shaping platform capabilities, and empowering product and engineering teams to build scalable, responsible AI solutions. You will guide the process and ensure that AI is adopted across the business, ensuring reliability, quality, and consistency, while also be expect to undertake MVP’s with product teams. In this role, you will define AI and ML standards, reference patterns, and reusable components while partnering with engineering teams to evolve the AI platform for scalability, governance, and reliability. You will guide teams on AI solution design, data readiness, evaluation methods, and responsible AI practices, including generative AI approaches such as LLM orchestration and retrieval‑augmented generation. You will assess emerging technologies, strengthen experiment and feature governance, and mentor teams to ensure consistent, high‑quality AI adoption across the organisation.
Job Responsibility
Define, maintain and drive adoption of AI/ML standards, patterns, and reusable components to enable efficient model development across teams
Partner with Data Engineering and Platform Engineering to evolve core AI platform capabilities, ensuring scalability, governance, and robustness
Advise product teams on model design choices, data readiness, evaluation strategies, and responsible AI practices
Develop and implement frameworks, guidelines, and reference architectures to support enterprise-wide adoption of AI and generative AI
Evaluate new AI technologies, tools, and workflows, driving continuous improvement of the platform
Develop and maintain an AI experimentation sandbox that enables teams to prototype and test new models and tooling efficiently
Ensure data quality, feature standardization, and reproducibility across the AI lifecycle
Mentor and coach teams on AI methods, experimentation, and best-practice platform usage
Communicate complex concepts clearly to stakeholders, enabling strategic decision-making and alignment
Requirements
Bachelor's degree or higher in Statistics, Mathematics, Data Science, AI/ML, or related field
6+ years of experience in Data Science or AI, with strong exposure to platform-level enablement or ML Ops-aligned environments
Demonstrated expertise in generative AI models and tooling (e.g. standardized evaluation, AI-specific observability, safe rollback mechanisms, retrieval-quality assessment etc)
Experience designing scalable AI architecture components, model pipelines, inference patterns, vector search, feature engineering standards, and monitoring frameworks
Proven experience of creating and maintaining end to end AI tools
Proven ability to mentor teams on AI methodologies, experimentation, and adoption of platform tooling
Collaborative, proactive, and customer-focused approach to enabling product and engineering teams
What we offer
Flexi-Week and Work-Life Balance
Remote Working Allowance
Flexi-Office
Meal Vouchers
Health & Wellbeing (insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member)
Remote Working Furniture Package (after 3 months of employment)