Senior Applied AI Scientist, Advanced Analytics & Modelling - Customer Intelligence
Core
Develop and improve machine learning and generative AI models to identify customer shopping missions, behavioural patterns, and transaction classifications for personalization and marketing use cases.
Role type
Senior Applied AI Scientist (Customer Intelligence)
Builds
Customer intelligence platform outputs supporting personalization, marketing, and merchandising
Domain
Retail / Customer Analytics / Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, PySpark, supervised/unsupervised learning, classification, clustering, feature engineering, LLMs, prompt engineering, foundation model tuning, Azure, Databricks, MLflow
Preferred skills
Personalization, recommendation systems, embeddings, retrieval-augmented generation, vector databases, retail domain experience
Technologies
Azure, Databricks, MLflow, PySpark, LLMs, vector databases
Responsibilities
Develop and improve ML/GenAI models for occasion discovery and transaction classification; Research and prototype new ML/AI methodologies; Design evaluation frameworks for model outputs; Translate business problems into modelling objectives; Collaborate with engineers to productionize models; Monitor model performance and recommend retraining
Seniority
Senior, hands-on IC
