Data Scientist

Job purpose

The role sits within the Pricing Transformation Team, a team which is re-defining how Revenue Management is conducted within the wider Pricing Team. The industry-leading analytics and pricing algorithms we devise aim to revolutionize how IWG drives volume and earnings.

You will be working within a highly motivated and multi-disciplinary team, with a direct hand on the full-stack development of our global business simulations (e.g., customer behaviour predictors, multi-variable forecasts & maximum likelihood estimations) across all product lines, the results of which are used in price setting and visible across the business.

The immediate team is split between the UK and Manila, has a great start-up feel, with flexible working practices around a core over-lap shift to be determined with managerial discretion.

This is a great opportunity to join a market leader and make a personal contribution to our success. 

Required Knowledge, Skills and Qualifications:

• Working experience of building simulations/algorithms in an advanced programming language; preferably Python
• Knowledge of data engineering, preferably SQL pipelines + Python cleansing
• Strong analytical capabilities and data visualisation in Python, comfortable with large data sets
• Impressive academic credentials (numerical, scientific, or business disciplines preferred)
• Advanced user of the full Microsoft Office 365 suite, especially Excel
• Strong communication skills in English, both written and spoken
• Proven ability to undertake projects from initial inception through to final completion
• Experience in price optimization and/or revenue management is preferred

Key Accountabilities:

Business Simulations

• Improving existing algorithms e.g. likelihood of a contract renewing
• Creating new algorithms for missing processes e.g. likelihood of additional purchases

Price Setting Engines

• Building optimisation engines that run the business simulations to set better prices
• Running pricing tests with the Pricing Analysts aid for better parameterisation

Data Pipelines

• Ensuring clean and reliable data is being fed into the engines
• Expanding the data available by working closely with Reporting and IT teams

Parametrisation Processes

• Implementing better techniques for attribute identification and input parameterisation 

Result Presentation

• Developing better visualisations and ways for the Pricing Team and wider business to consume the findings of simulation runs