• Proficient in Python
• Quantitative degree (mathematics, statistics, economics, physics, computer science, psychology, or related field)
• 1-4 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

Desirable

• 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 behavioral 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
• 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 rigor: 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
• Shape our product: Represent the voice of the customer - gather field feedback and inform product priorities based on real implementation patterns
• Scale adoption: Enable customers to unlock full product value across the whole organisation through effective training, documentation, and use case storytelling
• Working with high-agency individuals from all backgrounds across sales, marketing, engineering and science.

• 1. CV Review
• 2. Technical Assessment
• 3. In-office customer & Analysis Assessment

Salary benchmarks