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Data Scientist

4 months ago

London, United Kingdom Omnis Partners Full time

Data Scientist

Series A Technology Start-Up



£40k - £70k plus equity, bonus & benefits

Hybrid / London Office 2 days



✅Support a world-class portfolio of clients including leading brands in every industry

✅Innovative, collaborative culture, business driven by scientists & engineers

✅Inspiring leader, passionate about raising global awareness of artificial intelligence

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



Join this market leading Data Science & AI technology start-up as they continue to grow their Data Science team.


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.



You will partner with an extensive portfolio of global brands, across most key commercial industries, so the opportunity to diversify and develop your domain knowledge is huge.



You will deliver a variety of data science and AI projects and solutions, leveraging advanced statistical programming and modelling skill including forecasting, timeseries and demand forecasting, to enable improved supply chain efficiencies, business performance and customer understanding.



You will also work to support the development of a proprietary platform, working closely with the developers and product teams.



Be part of this disruptive scale-up as they continue to pioneer the use of machine learning and AI to drive enterprise value for end users.



Experience Required:


  • Educated to at least master’s 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 and complex data sets to extract insights.
  • A background in applied data science within a commercial environment, comfortable with fast paced, growth culture.
  • Ideally 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.