The Role
Work directly with customers to onboard datasets, design synthetic population queries, diagnose and improve data pipelines, validate synthetic methodologies, lead technical engagements, train and document for adoption, and feed customer insights into product priorities.
Summary Generated by Built In
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.
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
- 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.
- 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.
- 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.
- 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 responsibilities.
- Strong ownership mentality with composure under pressure.
Essential Qualifications
Technical Skills
Desirable Experience
Personal Attributes
What We Offer
We offer a competitive package designed to support you properly, not just on paper.
- Competitive salary.
- Meaningful equity in a high-potential seed-stage company.
- Unlimited leave. Take the time you need.
- Generous matched pension contributions.
- Private healthcare.
- Cycle to work scheme.
- Direct access to and collaboration with world-class founders.
- Hybrid working from our London office (4 days in office a week).
- Flexible working around life commitments. We value outcomes over presenteeism.
Skills Required
- 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.
- UK work authorisation required.
- Proficient in Python.
- Ability to identify root cause of technical issues in data and evaluation pipelines.
- Thrives in ambiguous, fast-moving startup environments.
- 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.
Am I A Good Fit?
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The Company
What We Do
Electric Twin helps leaders make better decisions. We build synthetic audiences that are able to answer questions accurately - in seconds, not months. Our clients include world-leading companies in media, fintech, retail and beyond.
