Lead Data Scientist AL ML

• Apply advanced statistical and scientific methods (e.g., hypothesis testing, inference) 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 libraries such as scikit learn, pandas, numpy, and develop deep learning solutions using TensorFlow and PyTorch.
• Process big data at scale using Spark and cloud native tools (e.g., AWS Glue, Azure Data Factory).
• Operationalise ML solutions using MLOps practices—CI/CD for models, reproducible training, and automated deployment.
• Deliver applied ML and AI across predictive analytics, time series forecasting, anomaly detection, NLP, computer vision, and Generative AI (e.g., retrieval systems, chatbots).
• Govern and monitor models in cloud environments; establish retraining schedules, performance monitoring, and risk controls.
• Design machine learning architectures that support pre sales engagements and accelerate the successful initiation of new projects.
• Lead agile delivery practices (Scrum/SAFe) using tools such as JIRA and Trello; ensure backlog health and delivery quality.
• Coach, mentor, and develop team members; advocate for data driven decision making across the organisation.
• Think strategically about data collection, metric design, and ethical AI—driving responsible and transparent use of data.

• Experience designing gen-AI and agentic AI architectures (e.g., using Google's ADK or similar frameworks).
• Background in real‑time analytics and event‑driven architectures.
• Prior consulting experience (client‑facing, pre‑sales, solutioning) and domain expertise.
• A strong track record of driving innovation and accelerating the adoption of advanced analytics in complex organisations.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.