About the role
The Role As a Forward Deployed Analyst, you'll be the critical bridge between our AI platform and the end user. Working directly with clients, you'll configure synthetic populations that mirror their real-world audiences and help them extract maximum value from behavioural insights. This high-impact, customer-facing technical role operates at the intersection of AI, data science, and strategic consulting - ideal for someone with a quantitative/data science background looking to move into AI products. \n
What You'll Do Transform Datasets to Onboard onto our Product: Design synthetic population queries by onboarding custom datasets for customers. Improve Data Pipelines: Diagnose data issues and partner with engineering to enhance platform capabilities. Build confidence through rigour: Evaluate synthetic methodologies using established validation frameworks to build client trust in AI insights for high-stakes decisions. Lead technical engagements: Own the technical dialogue with customers—understand their data, design optimal solutions, and implement them collaboratively. Scale adoption: Enable customers to unlock full product value across the whole organisation through effective training, documentation, and use case storytelling. Shape our product: Represent the voice of the customer - gather field feedback and inform product priorities based on real implementation patterns.
Who You Are Essential
Qualifications Quantitative degree (mathematics, statistics, economics, physics, computer science, psychology, or related field). 2-5 years in data analysis, market research, consulting, or customer-facing technical roles. Excellence at translating complex technical concepts for non-technical executives. Proven ability to manage sophisticated customer relationships independently. Thrives in ambiguous, fast-moving startup environments. UK work authorisation required. Technical Skills Proficient in Python. Quick learner who can master new AI/ML platforms and concepts. Be able to identify root cause of technical issues in data and evaluation pipelines. Desirable Experience Experience with LLMs, AI systems, or enterprise SaaS implementations. Management consulting background, especially in technology transformation. Track record presenting to C-suite executives. Knowledge of behavioural science or consumer insights. Personal Attributes High levels of self-discipline and organisation. Intellectually curious with exceptional attention to detail. Builds trust quickly with senior stakeholders. Comfortable with high-stakes decisions and broad
