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.