
Artificial Intelligence ⢠B2B ⢠SaaS
Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.
November 4

Artificial Intelligence ⢠B2B ⢠SaaS
Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.
⢠Lead end-to-end development of credit risk models, including data sampling, feature engineering, model training, testing, and performance monitoring. ⢠Collaborate with internal consultants in developing custom client credit risk or fraud models. ⢠Support internal generic score and external client validations. ⢠Partner with technology teams to bring models to production. ⢠Architect and implement LLM-based agents can tool use, memory, and multi-step reasoning. ⢠Integrate agents with internal APIs, databases, and third-party services to promote dynamic decision-making and task execution. ⢠Monitor, evaluate, and improve on agent performance using structured evaluation frameworks.
⢠3+ years of experience in machine learning, NLP, or predictive modeling ⢠Model development experience using Logistic Regression and ML methods such as Gradient Boosting ⢠Proficiency in Python and experience with GenAI frameworks (e.g., LangChain, Haystack, etc) ⢠Hands-on experience building LLM agents using OpenAI functions ⢠Familiarity with orchestration tools and cloud platforms ⢠Experience with RAG pipelines, vector databases, and prompt engineering ⢠Experience with commercial and consumer credit data
⢠Great compensation package and bonus plan ⢠Core benefits including medical, dental, vision, and matching 401K ⢠Flexible work environment, ability to work remote, hybrid or in-office ⢠Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
Apply NowOctober 28
Data Scientist / ML Engineer developing operational solutions using data science and software engineering principles at Coface. Work involves innovative projects addressing credit insurance and risk management.