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About the Role

As an Insights Analyst, you will serve as the critical bridge between our AI platform and the end user. You will work directly with clients to configure synthetic populations mirroring 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.

Responsibilities

• Design synthetic population queries by onboarding custom datasets for customers.
• Evaluate synthetic methodologies using established validation frameworks to build client trust in AI insights for high-stakes decisions.
• Own the technical dialogue with customers, understanding their data, designing optimal solutions, and implementing them collaboratively.
• Enable customers to unlock full product value across the organization through effective training, documentation, and use case storytelling.
• Represent the voice of the customer, gathering field feedback and informing product priorities based on real implementation patterns.
• Work with the product team to understand the best use cases for customers to show them how to best address their pain points and use cases.
• Manage the data collection and onboarding process to build the desired synthetic audience, and deliver recommendations and outputs against customer briefs.

Requirements

• Quantitative degree (mathematics, statistics, economics, physics, computer science, psychology, or related field).
• 1-3 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 authorization required.

Skills

• Proficient in Python.
• Quick learner who can master new AI/ML platforms and concepts.
• Ability to identify the root cause of technical issues in data and evaluation pipelines.
• 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 behavioral science or consumer insights.

Location

• UK

Work Type

• Full-time
• Hybrid

Experience Level

• 1-3 years

Education Level

• Quantitative degree

Salary/Compensations

• £35,000 - £45,000

Benefits

• Meaningful equity
• Clear path to grow with the company
• Flexibility to work around your life

About the Company

• Electric Twin is a behavioral simulation platform that allows organizations to test ideas, messages, and decisions against synthetic populations.
• The work is grounded, and the engineering is real, with over 40,000 evaluations run across populations covering 155 countries.
• Independent academic research found their outputs come back roughly 10,000x faster than traditional methods, at 95% accuracy.
• The company focuses on system design, data, orchestration, and making outputs trustworthy.
• Founded by Dr. Ben Warner (former Chief Data Advisor to the UK Prime Minister) and Alex Cooper (former senior military commander and Director of Mass Covid Testing).
• Backed by top-tier investors including Atomico, LocalGlobe, Mercuri, and angels including Marc Andreessen.
• Composed of a high-class team of engineers, AI researchers, behavioral scientists, and operators.