Lead Data Scientist

Job Description

Lead Data Scientist
Pioneering Data Science & AI Technology Scale-Up

£80k - £100k plus equity & benefits
Hybrid / London Office 2 days

Strategic Career Benefits:
✅Delight a world-class portfolio of clients across insurance, retail and commodities trading industries

✅Excel as part of a market leading applied Data Science team, partnering with colleagues in MLE and R&D

✅Chance to be part of a global growth as the company accelerates it’s offering and services

Join this disruptive Data Science & AI technology scale-up as they continue to grow their Data Science team.

You will operate as part of an industry leading team, working amongst exceptional talent (most of which hold Phd’s from top globally ranked Universities) as well as 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 wide variety of data science and artificial intelligence projects and solutions, leverage advanced statistical programming and modelling skill including forecasting, timeseries and demand forecasting, to enable improved supply chain efficiencies, business performance and customer understanding.

Be part of a 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, 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.