Insights Analyst (£35-£45k + Equity) at Electric Twin

Company: Jack & Jill
Apply for the Insights Analyst (£35-£45k + Equity) at Electric Twin
Location: London
Job Description:

Job Title

Insights Analyst

Salary

£35-£45k + Equity

Company Description

Electric Twin is a London-based behavioural simulation startup backed by Atomico, LocalGlobe, and Marc Andreessen. Founded by former Downing Street advisors, the company uses synthetic populations to let organisations test decisions 10,000x faster than traditional methods, with research from the LSE validating their 95% accuracy across 155 countries.

Job Description

As an Insights Analyst, you will bridge the gap between Electric Twin’s AI platform and enterprise clients. You’ll configure synthetic populations, translate complex data into strategic recommendations, and work directly with founders to scale behavioral insights. This high-impact role is perfect for a quantitative professional looking to transition into the AI product space.

Location

London, UK

Why this role is remarkable

  • Join an elite team led by the UK Prime Minister’s former Chief Data Advisor and a senior military commander, solving the “thin slice of evidence” problem in decision-making.
  • Work with a platform validated by LSE research as 10,000x faster than traditional methods, backed by top-tier investors including Atomico and Marc Andreessen.
  • Receive meaningful early-stage equity and a clear growth path in a fast-moving environment where you help shape product priorities based on real-world implementation patterns.

What You Will Do

  • Design and onboard custom datasets to build synthetic audiences that mirror real-world populations for high-stakes client evaluations and strategic simulations.
  • Lead technical client engagements, translating complex synthetic methodologies into trustworthy, actionable insights for senior executives and C-suite stakeholders during high-stakes decision cycles.
  • Partner with the product team to identify root causes in data pipelines and develop new training documentation that scales the platform’s adoption across organizations.

The ideal candidate

  • Holds a quantitative degree in a field like Mathematics, Physics, or Psychology and possesses 1-3 years of experience in data analysis, market research, or consulting.
  • Demonstrates proficiency in Python and a strong ability to master new AI/ML platforms while identifying technical issues within sophisticated data evaluation pipelines.
  • Exhibits excellent communication skills, capable of independently managing sophisticated customer relationships and translating complex technical concepts for non-technical leadership in fast-moving environments.

#J-18808-Ljbffr…

Posted: August 31st, 2026