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 (statistical, computational, scientific or econometric discipline a must).
- 6-8 years’ experience in commercially-focused data science roles.
- Specific experience working on customer segmentation models is required.
- Strong communication skills in English, both written and spoken.
- Proven ability to undertake projects from initial inception through to final completion.
- Familiarity with financial & operational reporting is highly advantageous.
Technical Skills
- Programming Languages: Strong proficiency in Python, R, and SQL. Familiarity with Spark.
- Data Manipulation & Analysis: Experience with libraries like Pandas, NumPy, and Scikit-learn for data cleaning, manipulation, and model building.
- Machine Learning & Statistical Modeling: Solid understanding of supervised and unsupervised learning, feature engineering, model selection, and evaluation techniques.
- Deep Learning: Familiarity with neural networks and frameworks such as TensorFlow or PyTorch.
- Big Data Tools: Proficiency in distributed computing tools like Apache Spark and Databricks.
- Cloud Platforms: Experience with Microsoft Azure services, including Azure Machine Learning and Azure Databricks.
- Data Visualization: Expertise in Power BI and Databricks for creating interactive dashboards and visualizing complex data insights.
- Data Engineering: Basic understanding of data pipelines, ETL processes, and tools like Apache Airflow, Azure Data Factory (ADF).
- Version Control, MLOps & AutoML: Familiarity with DevOps and Azure ML practices and version control for managing code, pipelines, model monitoring, hyperparameter tuning and collaboration.
- Advanced Statistical Methods: Expertise in hypothesis testing, probability, Bayesian statistics, and A/B testing.
NOTE: This job description is not intended to be all-inclusive. The Employee may perform other related duties to meet the ongoing needs of the organization.
About the company
IWG has been at the forefront of flexible working for more than 30 years. With over 3,500 locations around the globe, spanning brands including Regus, Spaces, Signature and HQ, we have made it possible for businesses of all sizes to make the transition to hybrid working, empowering employees to work wherever and whenever is most convenient.
We help more than 8 million people and their businesses to work more productively, supported by a choice of professional, inspiring and collaborative workspaces, communities and services.
As the world’s leading provider of hybrid work solutions, with four times the number of locations compared to its nearest competitor, IWG is already working with over 80% of the Fortune 500 and counts businesses including Amazon, Netflix, EY and Uber amongst its customers.
Companies of all sizes are shifting to flexible working to lower costs, improve employee retention and lower their carbon emissions. The flexible workspace is expected to grow by 600% by 2023, when 30% of all office space will be hybrid. We are growing our network faster than ever to keep up with demand from customers as we work towards our goal of reaching 30,000 centres.
Carbon Neutral Workplaces
IWG’s purpose of helping everyone have a great day at work, while protecting people and the planet is at the heart of everything we do. We are proud to supply all of our customers worldwide with carbon neutral workplaces, and we have a strong climate action plan in place to help us achieve our objective of Net Zero emissions by 2040.
Leading Employer Award
IWG is proud to be the recipient of a Leading Employer Award in both 2022, 2023 and 2024. Awarded exclusively to the top 1% of employers, the accolade is testament to our diverse global workforce and the role everyone plays in bringing our purpose, culture and values to life, every single day.
Join us athttps://careers.iwgplc.com/home
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