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Senior Python Data Science Engineer

Wild.Codes
London
1 month ago
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Our client is a mission-driven AI startup founded by a successful serial entrepreneur and AI policy advocate. The project focuses on building a next-generation forecasting platform powered by AI, aiming to outperform human experts in predicting elections, geopolitical events, and more.
The ultimate goal is to develop a powerful system that helps organizations and governments navigate uncertainty with data-driven predictions.
As aSenior Data Scientist / Backend Engineer, you will join at the ground floor of this venture, working directly with the founder to design and build the platform's core technology. This is a unique opportunity to take technical ownership of an early-stage product with real-world impact, work on cutting-edge AI applications, and help shape the future of the company.
What you will be working on:
  • Build the first version of a scalable, AI-powered forecasting system.
  • Design and develop backend infrastructure, data pipelines, and simple frontends for rapid prototyping.
  • Fine-tune large language models (LLMs) to improve forecasting accuracy.
  • Collaborate directly with the founder on architecture, design choices, and technical direction.
  • Contribute to the long-term vision and foundation for the platform, ensuring scalability and maintainability.
Requirements:
  • 5-6+ years of professional experience in data science, backend engineering, or full-stack development.
  • Strong proficiency inPython, with experience usingpandas,NumPy, and relevant backend frameworks (Django or similar preferred).
  • Hands-on experience with AI/ML models; fine-tuning LLMs is astrong plus.
  • Solid understanding of software architecture, scalability, and system design.
  • Comfortable working in a fast-paced, early-stage startup environment.
  • Self-driven, able to make technical decisions, and contribute strategically.
  • Full professional English proficiency and excellent communication skills.
Bonus if you have:
  • Experience in forecasting, data modeling, or academic research.
  • Previous work in early-stage startups or building MVPs.
  • Strong opinions on technical architecture and a track record of implementing them.
If you’re excited about building meaningful AI products from scratch and being part of a high-impact project, we’d love to hear from you!

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