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.
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.
Electric Twin London, England Office
116 Baker Street, London, England, United Kingdom, W1U 6TT
Similar Jobs
Artificial Intelligence • Information Technology • Software • Database
The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.
Top Skills:
Digital SystemsSQL
.png){kind=logo}
AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Own and prioritize a defined area of Expedia's analytics platform portfolio, focusing on self-service and AI-assisted analytics. Define product strategy, roadmaps, and requirements; partner with engineering and design to deliver scalable, reliable BI and conversational analytics experiences; shape AI-powered analytics, set success metrics, analyze signals, and drive adoption, governance, and cross-team alignment.
Top Skills:
DatabricksLookerSQLTableau
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Build and manage a defined book of financial advisors to drive revenue and pipeline growth. Use CRM to document prospecting, deliver advisor-facing presentations, design client-specific cases, and collaborate with investment and portfolio specialists. Represent the firm in virtual and in-person meetings and partner with the Divisional Sales Director on territory coverage.
Top Skills:
CRM
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
