Senior Data Scientist - GenAI
Cover GeniusAbout the role
The Company
Cover Genius is a Series E insurtech that protects the global customers of the world’s largest digital companies including Booking Holdings, owner of Priceline, Kayak and Booking.com, Intuit, Uber, Hopper, Ryanair, Turkish Airlines, Descartes ShipRush, Zip and SeatGeek. We’re also available at Amazon, Flipkart, eBay, Wayfair and SE Asia’s largest company, Shopee. Our partners integrate with XCover, our award-winning insurance distribution platform, to embed protection for millions of customers worldwide each year.
Our team and products have been recognized with dozens of awards including by the Financial Times which ranked Cover Genius as the #1 fastest-growing company in APAC in 2020. Our diverse team across 20+ countries and many language groups commit itself to diverse cultural programs, in particular “CG Gives” which makes social entrepreneurs out of us all and funds development initiatives in global communities.
Our People are
Bold, Authentic, Purposeful and Inspired
Our People are not
Perfect, Traditional, Complacent or Cautious
About the Role:
As the Senior Data Scientist for Generative AI within our Central AI Hub, you will be the foundational scientific owner of our LLM strategy. You are not just calling APIs; you are deeply involved in evaluating model performance, fine-tuning open-source or proprietary models for complex business logic, and ensuring our AI products behave predictably at scale.
To drive success in this role, you must be a pioneer in the rapidly evolving GenAI landscape. You will take ownership of solving complex NLP problems by bringing rigorous scientific measurement to prompt engineering and model training. You will collaborate heavily with our product and engineering teams, guiding them on how to best structure data schemas for LLM consumption, how to fine-tune for edge cases, and how to measure success.
Key Responsibilities:
Design and implement robust frameworks to quantitatively evaluate LLM performance (accuracy, repeatability, hallucination rates) before and after deployment.
Lead the fine-tuning and optimization of our Core Policy Models.
Act as the central GenAI expert for product engineering teams. Guide them on improving JSON payload structures, advanced prompt engineering techniques, RAG (Retrieval-Augmented Generation) architectures, and evaluation pipelines.
Establish best practices, playbooks, and standardized pipelines for all AI/LLM integrations across Cover Genius.
Stay at the cutting edge of Generative AI research, actively identifying new models, tools, and methodologies that can improve our operational efficiency and product offerings.
What you will bring:
Master's or PhD in Physics, Statistics, Mathematics, Computer Science, or other Quantitative fields.
5+ years of practical, hands-on ML/Data
Apply for this role
Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.
Apply Now →Generate Application KitFree account required — sign up in 30s