---
title: 'Forward Deployed Data Analyst at Electric Twin'
canonical: 'https://feeny.ai/job/forward-deployed-data-analyst-electric-twin-london-n9sssdj1wcxn'
type: 'job'
last_seen: '2026-09-08'
---

# Forward Deployed Data Analyst at Electric Twin

- **Company:** Electric Twin
- **Location:** London, United Kingdom
- **Compensation:** £50k–£70k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-03-18
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.lever.co/electric-twin/d6d49acb-f684-461e-b9cd-5aae4331c18d

## Job description

## 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

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 responsibilities.
- Strong ownership mentality with composure under pressure.

## 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.

## About Electric Twin

## Company Overview
- **One-liner**: Electric Twin builds a synthetic audience platform that allows enterprises to run instant, accurate market research by simulating how real customers will respond to products, messages, and campaigns.
- **Entity Type**: Private (Series A)
- **Headquarters**: London, England, United Kingdom
- **Founded**: 2023
- **Founders**: Alex Cooper (CEO & Co-Founder), Dr. Ben Warner (Co-Founder, Data Science Lead)

## Core Business
- **Primary Industry**: AI-driven consumer insights and market research
- **Target Customers**: Enterprise companies in media, fintech, retail, and other sectors (B2B)
- **Mission**: Help the world make better decisions by replacing guesswork with evidence — enabling leaders to understand human behaviour instantly and accurately.

## Products & Services
- **[Electric Twin Platform]**: A SaaS platform that builds simulated (synthetic) audiences from a company’s own customer data. Users type questions directly into the platform and receive answers in seconds — no survey design, panel recruitment, or waiting. The platform supports unlimited follow-up questions and is continuously benchmarked against real-world data, achieving a 96% match rate in hold-out tests.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total Funding of **$14M** across 3 rounds.
- **Notable Investors/Partners**: Series A led by **Atomico** (Feb 2026, $10M). Seed round ($4M) closed Dec 2025. Independent validation by Professor Michael Muthukrishna at LSE.
- **Growth Signals**: Headcount grew **58.8% YoY** (+10 people) to 23 employees. LinkedIn followers grew 269% in the past year. Clients include world-leading companies in media, fintech, and retail. Offices in London (HQ) with distributed workforce across the UK, Ireland, and Pakistan.

## Competitive Advantages
- **Accuracy**: Synthetic audiences match real people 96% of the time, validated via hold-out testing and independent academic review — a defensible moat against generic AI tools like ChatGPT.
- **Real Customer Data Anchoring**: Unlike generic LLMs, Electric Twin constrains its model using the client’s own survey data, focus groups, and customer interviews, producing grounded, specific insights rather than averaged opinions.
- **Speed & Scale**: Answers in 60 seconds with unlimited questions and iterations across 155 countries, replacing research cycles that previously took weeks or months.

## Strategic Focus
- **Product-Led Growth**: Expanding the platform’s self-serve capabilities to reduce dependency on manual onboarding.
- **Enterprise Adoption**: Deepening integrations with existing research workflows and CRM data sources.
- **Geographic Expansion**: Growing the distributed team and client base beyond the UK into the US and other key markets.

## Why Work Here
- **Culture**: Described as a “sports team, not a family” — high-performance, collaborative, and achievement-oriented. They value ownership (“nothing is someone else’s problem”) and move fast with “just enough structure.”
- **Remote/Hybrid Policy**: Office-first but flexible — Soho HQ in London, with support for remote stints (must plan ahead).
- **Perks**:
  - Private health insurance (Bupa, with option to add dependents)
  - Pension scheme (matched 4-8% contributions)
  - EMI share scheme for all full-time staff
  - Unlimited time off
  - £1,000 annual L&D budget
  - Bike-to-work scheme (save up to 40%)
- **Team**: Small (23 people), with a strong engineering and data science bench. Co-founder Dr. Ben Warner is a former Advisor to the Prime Minister on Digital and Data and helped build Faculty AI.

## Sources
1. [electrictwin.com](https://www.electrictwin.com/)
2. [electrictwin.com/careers](https://www.electrictwin.com/careers)
3. [LinkedIn](https://uk.linkedin.com/company/electric-twin)
4. [CB Insights](https://www.cbinsights.com/company/electric-twin)
5. [Built In](https://builtin.com/company/electric-twin)

## Other roles at Electric Twin

- [Account Executive, Enterprise](https://feeny.ai/job/account-executive-enterprise-electric-twin-london-v6w99qmt6pb6) — London, United Kingdom
- [Research Engineer](https://feeny.ai/job/research-engineer-electric-twin-london-qf7mvr2kr34c) — London, United Kingdom
- [Product Engineer (Mid / Senior / Staff / Principal)](https://feeny.ai/job/product-engineer-mid-senior-staff-principal-electric-twin-london-89pmnk2641ws) — London, United Kingdom
- [Software Engineer (Mid / Senior / Staff / Principal)](https://feeny.ai/job/software-engineer-mid-senior-staff-principal-electric-twin-london-dznthtt74ezq) — London, United Kingdom
- [Forward Deployed Data Analyst](https://feeny.ai/job/forward-deployed-data-analyst-valon-tech-new-york-nhq2hs2jqy4t) — New York, NY