Product Insights Lead - Personalisation

Product Insights Lead - Personalisation

Up to £200,000 Salary

London, UK

OVERVIEW

This globally renowned media streaming company are cutting edge in every way. From disrupting the market to bring us new personalised products and services that we didn't even know we needed, to combining user research and data science techniques to ensure that we stay consistently engaged for multimedia streaming, this is a unicorn tech market-leader!

THE ROLE - Product Insights Lead (Personalisation)

As Product Insights Lead, Personalisation, you will be leading a multidisciplinary and highly technical team of Data Scientists, Product Analysts and User Researchers who are all technically strong in SQL, Python and R, building highly sophisticated statistical models to answer key business questions about how to personalise all products and services to ensure customer loyalty and product usage growth. You will:

• Set the strategic vision of the Data Science, User Research and Product Analytics teams, prioritizing projects and ensuring that customer penalisation is at the forefront of all data-driven decisions made
• Be a coach and player, mostly hands-off in this innovation and product development role using data to predict the success of products and services that haven't been created yet, forecasting their growth and usage using SQL, Python and R, and building time series, linear and logistic regression and decision tree models, as well as delivering insights and recommendations
• Work with a broad range of hard-to-capture data sets across both online and offline channels to understand customer behaviours, needs, wants and attitudes, turning these into insightful stories that can be used by the product teams to create new personalised products for the individual user
• Manage, develop and enhance the skills of your team, which although starting at 6-8 people will likely double in size within the first 12 months.

YOUR SKILLS AND EXPERIENCE:

• Degree educated in Psychology, Math, Statistics, Operational Research or similar numerical discipline, with a PhD preferred but not essential
• Minimum of 5+ years' experience managing insights teams
• Strong technical skills in SQL, Python and R with the ability to build highly sophisticated models such as time series, regression, decision trees, random forests, recommender systems etc
• Exceptional communicator, with proven capabilities in demonstrating your ability to turn highly complex analyses into stories and customer journeys that can be used by multiple technical and non-technical audiences
• Background in Personalisation/ User Research within an eCommerce environment is highly desirable, with the ability to apply complex human behaviours and attitudes to enhance the development of new products or services

BENEFITS:

• Up to £200,000 Salary + Benefits

HOW TO APPLY:

Please register your interest by sending your CV to Luke Frost via the Apply Link below.