Senior Data Scientist

Senior Data Scientist

🚀 Series A E-commerce Tech Start-Up 🚀

💥 URGENT CONTRACT 💥

💸£550 per day - £650 per day (outside IR35)

📍Hybrid London Office set-up preferred - 100% remote considered

✅Innovative, collaborative culture, business driven by AI

✅Inspiring leader, passionate about this disruptive proposition with strong green impact

✅Chance to own shares in scaling organisation, drive towards exit and IPO

Omnis Partners are exclusively partnered with an innovative start-up that is transforming e-commerce through AI-driven solutions. With significant funding and ambitious expansion plans, they are now hiring exceptional talent to build out their Data Science team.

Founded by industry experts, this fast-scaling London-based company leverages machine learning software to ecommerce, reducing costs and enhancing efficiency. Backed by significant funding, they are rapidly expanding their infrastructure and AI-driven platform.

You will operate as part of a highly collaborative, innovative team to deliver data science solutions, under the leadership and guidance of an inspiring thought leader, in your Data Science Director.

We are hiring for an experienced generalist Senior Data Scientist with a range of skills across the following areas:

Route cause analysis, optimisation & clustering, forecasting, LTV modelling, statistical regression and machine learning

You will be joining a high-calibre team, with significant opportunities for career development in a hyper-growth, AI-driven business.

If you thrive in high-performing teams and want to make a meaningful impact in a disruptive tech-driven company, we’d love to hear from you.

Experience Required:

• Educated to degree level in a relevant subject such as Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Physics, Chemistry, Engineering etc.
• Strong programming skills with Python, building algorithms and models, and working with large, messy, complex data sets to model optimised process and performance.
• A deep background in applied data science within a commercial context, comfortable with fast paced, rapid growth culture.
• Experience of working in a client or business-facing environment, demonstrable skills in building trust and commercial discourse around leveraging ML and AI to solve real-world business problems.
• A proactive mindset, intellectual curiosity, and the ability to thrive in a fast-changing environment.