Forward Deployed Data Analyst in London

Forward Deployed Data Analyst in London

London Full-Time 50000 - 70000 € / year (est.) No home office possible
Electric Twin

At a Glance

  • Tasks: Bridge AI and users by configuring synthetic populations and extracting insights.
  • Company: Dynamic seed-stage company with a focus on AI and data science.
  • Benefits: Competitive salary, equity, unlimited leave, and private healthcare.
  • Other info: Enjoy hybrid working and flexible hours in a fast-paced environment.
  • Why this job: Make a real impact in AI while working closely with clients and shaping products.
  • Qualifications: Quantitative degree and 2-5 years in data analysis or customer-facing roles.

The predicted salary is between 50000 - 70000 € per year.

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.

£50,000 - £70,000 a year

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.

Forward Deployed Data Analyst in London employer: Electric Twin

As a Forward Deployed Data Analyst at our innovative seed-stage company in London, you'll thrive in a dynamic work culture that prioritises flexibility and employee well-being. We offer competitive salaries, meaningful equity, unlimited leave, and generous pension contributions, all while providing direct access to world-class founders and opportunities for professional growth in the rapidly evolving AI landscape. Join us to make a significant impact by bridging the gap between cutting-edge technology and real-world applications, all within a supportive and collaborative environment.

Electric Twin

Contact Detail:

Electric Twin Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Forward Deployed Data Analyst in London

Tip Number 1

Network like a pro! Reach out to people in your field, especially those who work at companies you're interested in. A friendly chat can lead to insider info and even referrals that could land you an interview.

Tip Number 2

Prepare for the technical side of things. Brush up on your Python skills and be ready to discuss how you've tackled data issues in the past. We want to see your problem-solving skills in action!

Tip Number 3

Showcase your communication skills! Practice explaining complex concepts in simple terms. This is key when dealing with clients who may not have a technical background—make sure they understand the value you're bringing.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at StudySmarter.

We think you need these skills to ace Forward Deployed Data Analyst in London

Data Analysis
Python
AI/ML Platforms
Technical Problem-Solving
Customer Relationship Management
Communication Skills
Training and Documentation

Some tips for your application 🫡

Tailor Your CV:Make sure your CV speaks directly to the role of Forward Deployed Data Analyst. Highlight your quantitative skills and any relevant experience in data analysis or customer-facing roles. We want to see how your background aligns with our needs!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how you can bridge the gap between AI and clients. We love seeing genuine enthusiasm and a clear understanding of what we do.

Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python and any experience with AI/ML platforms. We’re looking for someone who can dive into technical discussions, so make sure to highlight your ability to tackle complex data issues.

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at Electric Twin

Know Your Data Inside Out

As a Forward Deployed Data Analyst, you'll be working with complex datasets. Make sure you understand the data you'll be discussing in the interview. Brush up on your Python skills and be ready to explain how you would approach transforming datasets and diagnosing data issues.

Showcase Your Client Engagement Skills

This role is all about building relationships with clients. Prepare examples of how you've successfully managed customer relationships in the past. Think about times when you translated technical concepts for non-technical stakeholders and how that built trust.

Demonstrate Your Problem-Solving Ability

Be ready to discuss specific challenges you've faced in previous roles, especially those involving data analysis or technical issues. Highlight your thought process in diagnosing problems and how you collaborated with others to find solutions.

Emphasise Your Adaptability

The job requires thriving in fast-moving environments. Share experiences where you've had to adapt quickly to changes or ambiguity. This will show your potential employer that you're comfortable with high-stakes decisions and can handle broad responsibilities.