Bobby Jackson is a Senior Data Scientist at P&C Global, contributing significantly to the Data & Cognitive Sciences, Quantitative Analytics, Artificial Intelligence, and Strategy & Innovation practice groups. With over 15 years of experience, Bobby has established himself as an expert in computational finance, quantitative analysis, and data science. His industry expertise encompasses Financial Services, Manufacturing, Retail, Luxury Retail, and High Tech, where he has led numerous impactful engagements, delivering substantial value to clients.
Based in Los Angeles, California, Bobby is renowned for his proficiency in developing AI-driven financial models and predictive analytics, utilizing machine learning, deep learning, and advanced statistical methods to drive innovation and growth for clients.
Bobby’s academic journey reflects his dedication to excellence in quantitative analysis and data science. He earned his Bachelor of Science in Computer Science at the University of California, Berkeley and he holds a Master of Science in Financial Engineering from the University of California, Los Angeles (UCLA).
Bobby’s career progression showcases a logical advancement through roles of increasing responsibility at leading global companies. Bobby began his career at Intel as a Data Analyst, analyzing large datasets to optimize manufacturing processes, leading to a 10% increase in production efficiency. He then joined Goldman Sachs as a Quantitative Researcher where he developed quantitative models for trading strategies, contributing to a 15% improvement in portfolio performance. Prior to his role at P&C Global, Bobby served as Lead Data Scientist at Amazon where he led a team in developing machine learning algorithms to enhance customer personalization, resulting in a 20% increase in customer engagement.
At P&C Global, Bobby has been instrumental in leading data-driven transformation initiatives that have redefined business performance for its clients. His ability to blend advanced analytics with strategic insights has enabled organizations across industries to unlock new levels of efficiency, revenue growth, and competitive advantage. For example:
- AI-Powered Revenue Optimization for a Global Luxury Retail Brand
In response to declining margins and shifting consumer behaviors, Bobby and his team implemented an AI-driven dynamic pricing and demand forecasting engine for a global luxury retail conglomerate. The model integrated real-time market trends, inventory levels, and competitor pricing strategies to optimize product pricing at scale. The initiative resulted in a 17% increase in revenue, a 22% improvement in sell-through rates, and an 18% reduction in excess inventory, leading to a $250 million boost in profitability across global markets within 18 months.
- Quantitative Risk Modeling for a Leading Investment Bank
Tasked with enhancing risk mitigation and portfolio optimization, Bobby led a multi-year engagement for a top global investment bank to develop a machine learning-based quantitative risk framework. The solution leveraged real-time macroeconomic indicators, market sentiment analysis, and alternative data sources to predict market shocks and dynamically rebalance high-risk asset portfolios. As a result, the firm achieved a 35% improvement in risk-adjusted returns, a 40% reduction in exposure to volatile assets, and $1.2 billion in cost savings from reduced drawdowns and improved hedging strategies.
- AI-Driven Supply Chain and Inventory Optimization for a High-Tech Manufacturer
A leading high-tech electronics manufacturer sought to modernize its global supply chain and inventory management to minimize disruptions and improve cost efficiency. Bobby spearheaded the development of a predictive supply chain analytics platform that utilized real-time IoT data, external supply chain risk factors, and AI-driven demand forecasting models to anticipate disruptions and optimize procurement strategies. The implementation led to a 28% reduction in supply chain disruptions, a 15% increase in production efficiency, and an estimated $500 million in annual savings through streamlined operations and reduced logistics costs.
Each of these high-impact engagements highlights Bobby’s ability to merge deep industry expertise with cutting-edge AI, machine learning, and financial modeling to drive tangible, bottom-line results for P&C Global’s clients. His strategic mindset and quantitative expertise make him an invaluable asset in solving some of the most complex business challenges today.
Born and raised in the Bay Area of Northern California, Bobby Jackson’s path to data science wasn’t exactly conventional. As a kid, his world revolved around lacrosse and soccer, where he thrived on strategy, precision, and teamwork. But another world caught his attention—the fashion industry. With his striking looks and natural confidence, Bobby found himself stepping into modeling, drawn by the artistry, expression, and fast-paced creativity of the industry.
For a while, it seemed like his path might lead him down the runway instead of into quantitative analytics. But something never quite felt right. While fashion was exhilarating, he found himself more intrigued by the business behind it—the trends, the numbers, and the unseen patterns that dictated which styles would take off and which would fade away. It was this curiosity, this need to understand the “why” behind everything, that led him back to what had always fascinated him: mathematics and data-driven decision-making.
His transition into computational finance and data science wasn’t a rejection of his past passions—it was an evolution of them. He realized that the same analytical mindset that gave him an edge in sports, and the same creative instinct that drew him to fashion, were the very tools that could make him excel in the world of data science.
Now based in Los Angeles, Bobby enjoys a life that blends his many interests into one fulfilling career. At P&C Global, he’s found the perfect intersection of his love for finance, his appreciation for aesthetics and branding, and his obsession with uncovering hidden patterns in data. One day, he might be working on predictive analytics for luxury retail, and the next, he’s optimizing quantitative models for investment firms—a balance that keeps him intellectually challenged and creatively inspired.
Outside of work, Bobby finds joy in surfing, photography, and LA’s ever-evolving food scene. To him, data science and surfing aren’t so different—both require reading the waves, anticipating movements, and adjusting your strategy in real time.
Beyond his own professional growth, Bobby is passionate about mentoring the next generation of data scientists, especially those who, like him, didn’t take the traditional route. He often reminds young professionals that there’s no single path to success—sometimes, the best journeys are the ones you never planned for.
Reflecting on his unique career path, Bobby shares:
“I never imagined I’d go from modeling to machine learning, but looking back, it makes perfect sense. Fashion, finance, sports—it’s all about patterns, timing, and risk. At P&C Global, I get to work at the crossroads of creativity and logic, and that’s what makes every day here exciting.”
He laughs and adds:
“Also, let’s be honest—there’s a lot less pressure in data science. Algorithms don’t care if you had a bad hair day.”
Whether in finance, fashion, or the ocean, Bobby’s approach is the same: read the patterns, trust your instincts, and always be ready for the next big wave.
