Head Of Data Science

Head of Data Science (Retail)

Location: London (Hybrid)

Salary: £115,000-£120,000 (+bens +bonus)

83DATA are partnered with a fast growing scale-up consultancy focused on building the best AI applications for their clients across multiple industry verticals, They are currently building out their retail domain. As the Head of Data Science, you will be focussed within their retail vertical responsible for collaborating closely with their retail clients to understand their business objectives, identify analytical needs, and design customized solutions that leverage AI and advanced analytics to drive operational efficiencies, improve sales performance and enhance customer satisfaction.

They are offering a competitive salary, an attractive bonus package, and hybrid working. They are growing rapidly, and this role is vital to their further growth. You will be a significant member of the SLT, and be joining at the fore front of their continuous successes.

Responsibilities:

• Collaborate hands-on with teams to solve complex problems, efficiently.
• Provide visionary leadership to the retail analytics team, setting strategic
• goals, and driving the development of innovative analytics solutions for our clients in
• the retail industry.
• Collaborate with cross-functional teams to integrate Data Science and machine learning.
• Work with clients and the commercial team to build and maintain a roadmap for new data products. Collaborate with product managers and stakeholders to define the technical strategy and product roadmap
• Oversee the analysis of large-scale retail datasets, leveraging machine learning and statistical techniques to identify trends, patterns, and insights
• Build and manage a high-performing team of Data scientists, analysts, and consultants, fostering a collaborative and innovative work environment that encourages professional growth and excellence

Requirements:

• Minimum of 8 years of experience in retail analytics,
• Experience in leadership role, successfully building dynamic, high performing teams.
• Strong proficiency in statistical analysis, machine learning, data mining, and predictive modelling techniques.
• Proficiency in programming languages such as Python or R is required.
• In-depth understanding of the retail industry, including key operational challenges, customer behaviour analysis, pricing strategies, inventory management, and demand forecasting.
• Passion for driving technical excellence and innovation.

If you are interested and qualified for this role, please click apply and submit your most up-to-date CV.