Descrição

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 Modelling
• Build 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 Segmentation
• Develop 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
• Formalise modelling outputs into distinct customer segments suitable for use in day-to-day decision-making
• Lead the ongoing management and evolution of the segmentation model by implementing supervised machine learning techniques and automation elements
• Conduct historic analysis to understand the performance and growth trajectories of segments and, working with the Head of Strategic Insights, identify resulting commercial opportunities
• Work with a range of internal teams (e.g. Product, Sales) to help embed the new customer segments and ensure they are factored in decisions on marketing campaigns, product development etc.

• Strategy & Proposition analysis
• Work with the Chief Strategy Officer and Senior Director, Strategy & Proposition to prepare CEO and board-level materials highlighting findings and opportunities resulting from modelling
• Support the broader Strategy & Proposition team with ad hoc analysis related to high priority initiatives
• Represent the Strategy & Proposition team in cross-functional discussions on use of data & modelling in day-to-day decision-making across the business

• Additional Projects
• Over time we expect the Senior Data Scientist to support other critical work across the business. Potential examples include price elasticity modelling at centre and cluster level, development of a promotion optimisation engine, and establishing personalisation mechanisms across our sales, marketing and pricing/promotion capabilities
• Examples above are not comprehensive and the Senior Data Scientist is expected to have significant influence over the nature and direction of their work and how they add value to the business

• Required Knowledge, Soft Skills and Qualifications
• Strong academic credentials - at least a 2i degree, from a top tier university (s

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