Jack & Jill
Insights Analyst (£35-£45k + Equity) at Electric Twin
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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.
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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.
Who are Jack & Jill?
Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
How does this work?
Jack's an AI agent for job searching and career coaching. He works for you. Jill is the AI recruiter working for the company. She recruits from Jack's network. If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
We never post fake jobs
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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