Joshua Taylor

Joshua Taylor is a Senior Data Scientist based in P&C Global’s Dubai office, specializing in quantitative analytics, AI, and machine learning. A native of the charming North Yorkshire town of Ripon, Joshua brings precision, curiosity, and leadership to the firm’s Data & Cognitive Sciences, Quantitative Analytics, Artificial Intelligence, and Machine Learning practice groups. His cross-industry impact spans Manufacturing, Information & Data Sciences, Financial Services, Retail, and Travel & Hospitality.

Joshua’s rigorous academic background began at Imperial College London where he earned a Bachelor of Engineering in Computing Science. In addition, he holds a Master of Science in Financial Mathematics & Computational Finance from the University of Edinburgh. He further refined his leadership and strategic thinking by earning an Oxford Executive Diploma in Artificial Intelligence for Business at Oxford Saïd Business School and an Executive Certificate in Strategy & Innovation from MIT Sloan School of Management.

Joshua’s career path reflects steady advancement across recognized Global 500 firms. He began as a Quantitative Developer at BAE Systems where he built cost-efficiency models using telemetry data, reducing production variance by 15%. As a Data Scientist at Shell, Joshua developed ML-driven forecasting for commodity logistics, improving accuracy by 20%. Most recently Joshua held the position of Lead Quantitative Analyst at Vodafone Group where he designed churn prediction analytics and customer segmentation, increasing retention by 18%. At P&C Global, Joshua leads a 60+ member team of data scientists, quant analysts, and ML engineers, driving solutions in model design, portfolio optimization, and digital innovation for global clients.

Joshua has delivered transformative, data-driven solutions across Manufacturing, Financial Services, Retail, and Travel & Hospitality, combining his quantitative analytics expertise with cutting-edge AI and ML innovation.

1. Smart Predictive Maintenance for Global Manufacturer
   A worldwide electronics manufacturer engaged Joshua to deploy an AI-powered predictive maintenance platform using IoT sensors and deep learning algorithms for anomaly detection. The solution provided early warnings of equipment failures and actionable maintenance recommendations.
   
   Outcomes:
   • Reduced unplanned downtime by 30–35%, in line with industry benchmarks. 
   • Lowered maintenance costs by 20%, through timely, cost-efficient servicing. 
   • Extended machinery lifespan by 15–20%, enhancing asset efficiency and sustainability.
2. Advanced Credit Risk Modeling for Financial Institution
   A leading bank partnered with Joshua to build a quantitative credit-risk engine powered by machine learning and natural language processing of applicant data. The model supplemented traditional statistical methods with real-time signal detection.
   
   Outcomes:
   • Reduced default rates by 22%, reflecting better risk discrimination.
   • Released $120M in capital reserves, through deeper risk profiling.
   • Cut loan processing time by 35%, improving both speed and customer satisfaction
3. Dynamic Pricing & Revenue Optimization for Luxury Retailer
   For a premium retail brand, Joshua led the development of an AI-based dynamic pricing and inventory optimization tool, integrating competitor pricing, seasonal trends, and consumer sentiment analysis.
   
   Outcomes:
   • Improved gross margins by 10%, via precision price adjustments.
   • Reduced inventory overstock by 25%, minimizing waste and markdowns.
   • Delivered $75M in annual revenue uplift, from smarter pricing and stock management.
4. AI-Driven Fare & Ancillary Optimization for International Airline
   A global airline engaged Joshua to implement a real-time pricing engine for tickets and ancillary services, using reinforcement learning and behavioral demand forecasting.
   
   Outcomes:
   • Boosted RASM by 9–10%, mirroring reported industry gains. 
   • Increased ancillary revenue by 15%, through tailored service bundling.
   • Enhanced load factor by 8%, enabling better capacity utilization and profit margins.

These engagements underscore Joshua’s ability to apply quantitative rigor, advanced AI/ML techniques, and strategic insight to drive significant operational improvements, revenue growth, and cost efficiencies across diverse global industries.

Growing up in Ripon, Joshua developed a love for architecture and storytelling—elements he now weaves into data narratives. He resides in Dubai with his wife, an accomplished pianist and music professor, and their three children. Their home echoes with late-night piano sessions and global culinary experiments. Family rituals include weekend hikes in the Hajar Mountains and exploring Dubai’s art markets.

Reflecting on why he chose P&C Global over MBB offers, Joshua says:

“I chose P&C Global because they trusted me from day one to lead real change—not just analysis. Their culture felt like a collaborative lab rather than a scoreboard.”

On his personal and professional growth, he shares:

“I’ve gone from coding alone to mentoring dynamic teams across the globe. It’s profoundly enriching to see someone I coached present a model in client boardrooms—it’s why data lives beyond slides.”

With characteristic warmth, he adds:

“When my toddler tried to explain ‘Bayesian inference’ in her own words, I realized we do personal analytics at home—just with more snacks and less precision!”

Joshua’s blend of quantitative rigor, strategic vision, mentorship, and genuine warmth makes him a cornerstone of P&C Global’s Dubai office. Colleagues and clients value his integrity, clarity, and ability to translate complex data into trusted impact and real-world stories.