Software Engineer - Business Simulation Focused

Software Engineer - Business Analytics - Computational Scientist

Job Purpose

The goal of the Business Analytics Team is to enable data-driven decision-making by leveraging

advanced analytics, predictive modeling, and operational insights. As a Computational Scientist, you

will contribute to this mission by creating and refining models that transform data into actionable

business strategies. The Computational Scientist will design, develop, and implement mathematical

models, simulations, and algorithms to address complex challenges across diverse business

processes, including operations, logistics, pricing, and resource optimization. This role emphasizes

using advanced computational methods and data-driven solutions to improve operational efficiency,

support decision-making, and drive innovation across the organization.

We are looking for a skilled model builder and problem solver who can develop simulations of real-

world business scenarios, analyze complex systems, and enable dynamic, data-driven decisions.

The team has a collaborative, start-up-like feel—small, highly motivated, and multi-disciplinary—

where each member works independently while contributing to impactful projects.

This is an exciting opportunity to join a market leader and make a meaningful contribution to the

organization’s success.

Key Responsibilities

• Model Development and Simulations: Create and maintain simulation models representing
  
  
  

real-world processes, systems, or phenomena across pricing, operations, logistics, and

resource allocation.

• Programming and Implementation: Write efficient, object-oriented code using Python
  
  
  

(preferred) or R. Leverage Microsoft Azure services (e.g., Azure Batch, Databricks, Machine

Learning) for scalable computational workflows.

• Optimization and Scenario Modeling: Build algorithms and models for optimization tasks,
  
  
  

such as resource allocation, scheduling, commissions, and operational planning. Conduct

scenario modeling to evaluate potential strategies and outcomes.

• Model Calibration and Sensitivity Analysis: Calibrate models based on historical data or
  
  
  

expert input. Perform sensitivity analyses to assess the impact of input parameters on

outcomes and improve model robustness.

• Data Analysis and Insights: Analyze historical and operational data to support model
  
  
  

calibration, sensitivity analysis, and scenario evaluation.

• Collaboration and Stakeholder Engagement: Work closely with data scientists, data
  
  
  

engineers, and business stakeholders to align models with organizational goals. Collaborate

across teams to address challenges in pricing, operations, logistics, and customer experience.

• Documentation and Reporting: Document model assumptions, methodologies, and results.
  
  
  

Prepare concise, clear reports and presentations for both technical and non-technical

stakeholders.

Required Skills, Experience & Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Science, Mathematics,
  
  
  

Statistic, Operations Research or a related field.

• Programming Skills: Proficiency in Python (preferred) and familiarity with SQL.
• Data Analysis and Management: Strong ability to work with large datasets using Python and
  
  
  

SQL, focusing on preparing data for model calibration, validation, and sensitivity analyses.

• Mathematical Expertise: Strong understanding of statistical methods, Markov Chains,
  
  
  

likelihood functions, optimization techniques, and probability theory.

• Problem-Solving: Exceptional analytical and problem-solving skills with a passion for tackling
  
  
  

complex challenges.

• Agility: Comfortable working in an agile, fast-paced environment with tight deadlines.
• Communication: Excellent communication skills for collaborating with cross-functional teams
  
  
  

and presenting technical findings effectively.

• Preferred Experience: Knowledge of reinforcement learning, predictive modeling, or
  
  
  

advanced simulation techniques.’

About The Company

IWG has been at the forefront of flexible working for more than 30 years. With over 4,500 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 and 2023. 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 at https://careers.iwgplc.com/home