Kris Srithararajah
Senior Data Scientist
Overview
Kris is a Senior Data Scientist at One Peak, where he helps develop data-driven solutions to enhance One Peak's investment decision-making process and brings automation and AI-powered insights to One Peak’s daily operations.
Prior to joining One Peak, Kris was a Data Scientist at the InsurTech startup Superscript in London, where he designed and implemented lead identification and recommendation solutions using reinforcement models, and developed an optimization tool for dynamic pricing. He began his career as a Data Scientist at Simply Business in London, focusing on data enrichment methods and machine learning operations.
Kris holds a Master’s degree in Data Science and a Bachelor’s degree in Mathematics and Economics from University College London, United Kingdom. He speaks English and Tamil.
When Kris is not building models, you'll find him at the gym, exploring new cultures through travel and cuisine, or (trying his best to) expand his linguistic horizons by learning new languages. He’s also a huge supporter of his hometown club, Liverpool FC, so plays 5-a-side with his local Sunday league team whenever possible.
Q&A
Can you tell us more about your career path?
My career in data science has been built on the foundations of building solutions that drive real business impact. At Superscript, I led the development of sophisticated lead identification and dynamic pricing systems using reinforcement learning and Bayesian techniques, working across the full stack from data architecture, engineering and front-end implementation. My expertise in MLOps, predictive modeling, and A/B testing frameworks has been instrumental in bridging advanced statistical methods with practical business applications.
What technological developments are you most excited about?
Like the transformative impact we've already seen with the current Large Language Models, I'm particularly fascinated by the journey toward more reliable and trustworthy AI systems. What excites me most is not just the potential for Artificial General Intelligence (AGI), but the immediate challenge of developing tools that can be fully dependable for critical business decisions. The quest for zero-hallucination models represents a fascinating intersection of technical innovation and practical business needs.
What's something that surprises people about you?
If mathematics hadn't captured my attention, I would have likely pursued a career as a chef. My love for cooking mirrors my approach to data science – both require experimentation, precision, and creativity. Similarly to developing machine learning models, cooking is about understanding the fundamental principles while being willing to innovate and try new combinations to achieve the best results.
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