Nathan Stokes

Nathan Stokes is a Senior Data Scientist based in P&C Global’s London office, where he brings rigorous quantitative insight and AI-powered innovation to a wide range of industries. As a core member of the Data & Cognitive Sciences, Quantitative Analytics, Artificial Intelligence, and Machine Learning practice groups, Nathan specializes in delivering advanced analytics solutions across Manufacturing, Luxury Retail, Commercial Real Estate, and Financial Services.

A Manchester native, Nathan and his husband, also a senior leader at P&C Global, balance family life in London with raising their three curious children—an environment as dynamic and collaborative as his professional world.

Nathan’s academic journey began at the University of Cambridge where he earned a Bachelor of Arts with Master in Natural Sciences. In addition, he holds a Master of Science in Financial Engineering from Columbia University and has further honed his strategic and innovation mindset through prestigious executive education programs to include an Executive Certificate in Strategy & Innovation from MIT Sloan School of Management and an Executive Certificate in Innovation & Strategy for Leaders from Harvard Extension School.

Nathan’s career demonstrates a steady progression through roles of increasing technical and leadership responsibility. He began as a Quantitative Analyst at Rolls-Royce, where he built predictive maintenance models for jet-engine manufacturing, reducing unplanned downtime by 18%. He then advanced to Senior Data Scientist at LVMH where he deployed AI-driven demand forecasting across luxury boutiques, improving inventory turnover by 22%. Most recently he served as Lead Quantitative Modeler at Jones Lang LaSalle (JLL), where he designed property valuation algorithms and risk models, boosting investment ROI by 15%. At P&C Global, Nathan now leads cross-functional teams of data scientists, quant analysts, and ML engineers, delivering integrated solutions that transform client operations in manufacturing, real estate, finance, and luxury retail.

Nathan has led data-driven and AI-powered transformations that have significantly boosted performance, personalization, and strategic value across Manufacturing, Luxury Retail, and Commercial Real Estate sectors.

1. Predictive Maintenance Platform for Tier-1 Manufacturer
   A global automotive parts manufacturer enlisted Nathan to develop an advanced AI-driven predictive maintenance platform using sensor data and transformer-based failure prediction algorithms. His team implemented smart scheduling and real-time alerts for equipment servicing.
   
   Outcomes:
   • 27% reduction in unplanned downtime, consistent with best-in-class manufacturing analytics.
   • 22% decrease in maintenance costs, driven by optimized intervention timing.
   • 15% improvement in overall equipment effectiveness (OEE), boosting production line efficiency.
2. AI-Powered Personalization for Luxury Retailer
   For a top-tier luxury fashion brand, Nathan led a cross-practice initiative combining data science, AI, and ML to create a personalized shopping experience—integrating CRM data, digital engagement metrics, and in-store browsing patterns.
   
   Outcomes:
   • 30% uplift in customer loyalty scores, enabled by hyper-personalization. 
   • 35% reduction in excess inventory, optimizing product assortments.
   • $170M+ in annual cost savings, driven by supply chain and IT modernizations.
     
3. AI-Enhanced Valuation Engine for Commercial Real Estate
   A leading global real estate firm partnered with Nathan to build a machine learning–powered asset valuation engine, utilizing historical lease data, market indicators, and macroeconomic trends to forecast property values and optimal disposal timings.
   
   Outcomes:
   • 18% increase in valuation accuracy, improving investment timing and yields.
   • 20% faster asset turnover, accelerating portfolio optimization.
   • Enhanced decision-making, with automated analytics saving ~400 hours of annual manual analysis.

These educationally rigorous and business-impactful engagements illustrate Nathan’s ability to blend quantitative analytics, AI, and domain knowledge to generate substantial value for clients across high-stakes industries. Each example reflects the kind of measurable transformations that define his leadership at P&C Global.

Hailing from Manchester, Nathan’s early interests in football and tabletop strategy games taught him about teamwork, systems thinking, and disciplined planning—keys to both winning matches and designing robust AI systems. Living in London with his husband and their three children, Nathan embraces the city’s blend of culture, innovation, and family life. Weekends often involve board games in the park, hands-on science experiments, or coaching youth football—activities that blend his analytical mind with his love for playful exploration.

Reflecting on his time at P&C Global, Nathan shares:

“What I love most here is that we don’t just crunch numbers—we use analytics to tell meaningful stories. Whether it’s optimizing supply chains in manufacturing or tuning property investment strategies, our work makes an authentic difference.”

With a warm chuckle, he adds:

“Being a parent of three means you have to predict chaos on a grand scale—so building reliable predictive models at work feels almost peaceful in comparison!”

Nathan’s blend of quantitative expertise, strategic vision, and genuine humanity makes him one of P&C Global’s most trusted advisers. Clients and colleagues alike value his integrity, collaborative spirit, and ability to translate complex data into real-world impact—qualities that define both his professional excellence and personal warmth.