.Job Purpose:This is an exciting time to join IWG.
Our business is growing rapidly, and we are making significant changes to improve the sophistication of our analytics and how we incorporate data across our decision-making processes.
The Strategy & Proposition team, and especially this role, is at the heart of this exciting transformation.You will be reporting to the Senior Director, Strategy & Proposition and working closely with a number of Strategy Directors as well the Head of Strategic Insights to uncover key commercial opportunities for the business and translate them into actionable recommendations.
As Senior Data Scientist, you will play a critical role in developing models and algorithms that will underpin the analysis and insights the Strategy & Proposition team provide to the business.
Key initial focuses for the role will be in developing customer segmentation models and E2E profitability forecasting models, but projects will evolve over time and there are almost endless opportunities to add value and impact IWG's decision-making at the most senior levels.This is an individual contributor role and, whilst you will regularly collaborate with stakeholders around the business, we are looking for an experienced professional, passionate about their craft who is keen to take a hands-on role with significant business impact.
You will have access to IWG's vast pools of transaction level data, as well as our extensive analytic toolkit at your disposal including PowerBI and the full Microsoft Azure data suite.This role sits within the Strategy & Proposition team, a central team working across all business functions and tasked with identifying and realizing key commercial and operational opportunities for the business.This is a great opportunity to join a market leader and make a personal contribution to our success.Key Accountabilities:E2E Profitability ModellingBuild a range of analytical assessment and forecasting models including E2E profitability modelling at centre and product level.Leverage corresponding historic datasets to discover key drivers of high / low profitability centers.Adapt findings of historic analysis to develop a predictive profitability model to support decision making on how and where to open new centres.Lead the ongoing evolution of the models by implementing supervised machine learning techniques and automation elements.Work with the Head of Strategic Insights to translate findings of analyses into actionable recommendations for senior leadership.Work with a range of internal teams (e.G.
Product, IT) to rapidly develop, test and embed modelling into day-to-day decision making.Customer SegmentationDevelop a customer segmentation model based on transaction level customer purchasing behaviour.Deploy advanced analytics techniques (e.G.
k-means clustering) to 'discover' customer segments based on actual purchase data