Lead Data Scientist

Lead Data Scientist

🚀 High-Growth Series A Technology Company 🚀

💸 £90k – £122k + equity & benefits

📍 London (Hybrid working)

✅ AI-first organisation with a collaborative, innovation-led culture

✅ Visionary leadership driving a genuinely disruptive, sustainability-focused product

✅ Equity upside with a clear path toward scale, exit, and IPO

About the Company

Omnis Partners are working exclusively with a venture-backed start-up redefining the e-commerce landscape through advanced AI and machine learning. Following a successful Series A raise, the business is entering a rapid growth phase and investing heavily in its data science and AI capability.

Built by experienced founders, the company develops machine learning-driven software for e-commerce optimisation, helping clients reduce operational costs and improve performance at scale. With strong financial backing, they are scaling both their platform and technical teams at pace.

You’ll join a high-performing data science team working closely with an accomplished Data Science Director, contributing to the design and deployment of impactful ML solutions in production.

This role is suited to a well-rounded Senior / Lead Data Scientist with strong modelling expertise—particularly in forecasting, time series analysis, and optimisation problems—who can drive insights that improve complex systems and predict demand accurately.

You’ll be part of a talent-dense, fast-scaling environment where data science sits at the core of business strategy. The role offers strong ownership, technical challenge, and the opportunity to grow your career within an AI-led organisation.

What They’re Looking For

• Degree in a quantitative or technical field (e.g. Computer Science, AI, Mathematics, Statistics, Physics, Engineering)
• Strong Python skills with experience building machine learning models and scalable algorithms
• Proven experience working with large, complex datasets to optimise performance and decision-making
• Commercial experience applying data science in real-world environments, ideally within fast-paced or high-growth businesses
• Ability to engage with stakeholders, translating technical outputs into business impact and value
• Curious, proactive mindset with the adaptability to thrive in a rapidly evolving tech environment

If you’re looking to step into a high-impact role within an AI-driven scale-up, this is one of those opportunities where you’re not just building models—you’re shaping the future of a business.