Software Engineer

3 days ago

Taguig, National Capital Region, Philippines International Workplace Group plc Full time

3 days ago Be among the first 25 applicants

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Talent Acquisition | Onboarding | Compensation & Benefits | Employee Relations | Employee Engagement

About the company

IWG has been at the forefront of the flexible workspace revolution for more than 30 years. We have made it possible for organisations and individuals everywhere to take a new approach to the traditional working day. We have over 3,400 locations across over 110 countries allowing millions of people every day to have a great day at work.

Our customers are start-ups, small and medium-sized enterprises, and large multinationals. With unique business goals, people and aspirations. They want workspaces and communities to match their needs. We provide them with choice through our portfolio of brands, covering serviced offices (Regus, Spaces, HQ, Signature and No18), commercial real estate brokerage and managed office solutions.

Join us at www.iwgplc.com

Job Description

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.

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.

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. Experience with R is a plus.
  • 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.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Other

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