Senior Data Scientist Consulting Manager

- Apply advanced statistical and scientific methods to frame problems, validate assumptions, and quantify impact - Engineer and integrate data across structured and unstructured sources; oversee data wrangling and feature engineering for production-grade pipelines - Build and guide development of models using Python and relevant libraries; develop deep learning solutions - Process big data at scale using Spark and cloud-native tools - Operationalise ML solutions using MLOps practices—CI/CD for models, reproducible training, and automated deployment - Deliver applied ML and AI across various domains including predictive analytics and computer vision - Govern and monitor models in cloud environments; establish retraining schedules and performance monitoring - Design machine learning architectures supporting pre-sales engagements - Lead agile delivery practices using appropriate tools - Coach, mentor, and develop team members; advocate for data-driven decision making - Think strategically about data collection, metric design, and ethical AI