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

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.

With special emphasis on clustering and classification techniques (K-Means, DBSCAN, Gaussian Mixture Models, SOM, etc…), time series (ARIMA, Prophet, etc…), regression models (Random Forest, GBM, etc…) and survival analysis.

• 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 tunning 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.

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.