At a Glance
- Tasks: Bridge AI and clients by translating data into strategic insights.
- Company: Innovative startup backed by top investors, transforming decision-making.
- Benefits: Competitive salary, equity options, and a clear growth path.
- Other info: Fast-paced environment with opportunities to shape product priorities.
- Why this job: Join an elite team solving real-world problems with cutting-edge technology.
- Qualifications: Quantitative degree and experience in data analysis or consulting.
The predicted salary is between 70000 - 90000 £ per year.
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.
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.
Insights Analyst (£35-£45k + Equity) at Electric Twin employer: Jack & Jill
At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our team enjoys a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative environment that encourages creativity and growth. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technology and the chance to work with industry leaders in AI-driven marketing strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Insights Analyst (£35-£45k + Equity) at Electric Twin
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We think you need these skills to ace Insights Analyst (£35-£45k + Equity) at Electric Twin
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Jack & Jill, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jack & Jill. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Jack & Jill
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Jack & Jill!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
