The Corporation This company, recently named one of Britain's fastest-growing tech companies, is at the vanguard of fashion retail analytics and technology. Using fashion-specific AI, expert knowledge, and proprietary data, they intend to develop a prediction platform that will enable companies to predict customer behaviours and fashion trends in order to optimise and personalise shopping journeys. The Duty You would work in a phenomenal team of Data Scientists and Machine Learning engineers to analyse massive data sets from millions of shoppers, thereby enabling the personalization of customer experiences in Digital, mobile, and in-store retail venues. You will play a significant role in fostering competitive advantages and sustained growth for clients. In this hands-on position, you will employ advanced statistical methodologies to assist with data-driven decision making, identifying opportunities for customers to boost customer loyalty, average spend, and decrease apparel returns. This is a fantastic opportunity to utilise a variety of tools, such as SQL, Python, R, and Tableau, while tackling some of the most pressing and difficult retail problems. Essential Requirements A degree in a mathematical field from a renowned institution. Two years' experience in analytics Strong SQL skills. Owner of the Job: d.prosser Keywords: Python, R, SQL, and Tableau
The Corporation This company, recently named one of Britain's fastest-growing tech companies, is at the vanguard of fashion retail analytics and technology.
Using fashion-specific AI, expert knowledge, and proprietary data, they intend to develop a prediction platform that will enable companies to predict customer behaviours and fashion trends in order to optimise and personalise shopping journeys.
The Duty You would work in a phenomenal team of Data Scientists and Machine Learning engineers to analyse massive data sets from millions of shoppers, thereby enabling the personalization of customer experiences in Digital, mobile, and in-store retail venues.
You will play a significant role in fostering competitive advantages and sustained growth for clients.
In this hands-on position, you will employ advanced statistical methodologies to assist with data-driven decision making, identifying opportunities for customers to boost customer loyalty, average spend, and decrease apparel returns.
This is a fantastic opportunity to utilise a variety of tools, such as SQL, Python, R, and Tableau, while tackling some of the most pressing and difficult retail problems.
Essential Requirements A degree in a mathematical field from a renowned institution.
Two years' experience in analytics Strong SQL skills.
Owner of the Job:
d.prosser Keywords:
Python, R, SQL, and Tableau