Lead Associate - Data / AI

Imagine being part of a team that's not just shaping the future but actively driving it. At Davies, we're at the forefront of innovation and excellence, blending cutting-edge technology with top-tier professional services. As a vital part of the global Davies Group, we help businesses navigate risk, optimize operations, and spearhead transformation in the insurance and regulated sectors. Key Responsibilities We're on the lookout for a full-time Machine Learning Technical Lead. This role provides technical leadership for AI, machine learning, and advanced analytics initiatives while guiding engineers, data scientists, and business stakeholders from concept through production. Lead the design, development, deployment, and monitoring of machine learning and generative AI solutions across the organization. Define enterprise standards, architecture patterns, MLOps practices, and model governance frameworks. Partner with business leaders to identify high-value use cases and translate them into scalable AI solutions. Provide technical leadership and mentorship to data scientists, ML engineers, analytics teams, and developers. Oversee model lifecycle management including feature engineering, training, evaluation, deployment, drift monitoring, and retraining. Build and optimize machine learning pipelines using Azure, Microsoft Fabric, Databricks, Python, and related technologies. Ensure security, compliance, explainability, and responsible AI principles are embedded into all solutions. Collaborate with executive leadership to create AI roadmaps and measure business outcomes. Present technical concepts, recommendations, and results to both technical and non-technical audiences. Skills, Knowledge and Expertise Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related field; Master's degree preferred. 7+ years of experience in data science, machine learning, analytics, or software engineering roles. 3+ years of leadership experience managing technical teams or leading complex AI initiatives. Deep expertise in machine learning algorithms, predictive modeling, NLP, LLMs, and generative AI technologies. Strong proficiency in Python, SQL, and cloud-based data platforms. Hands-on experience with Azure AI Services, Azure Machine Learning, Microsoft Fabric, and Power BI. Experience implementing MLOps, CI/CD, model monitoring, and production-grade ML solutions. Excellent technical writing, communication, and stakeholder management skills. Strong analytical, problem-solving, and strategic thinking capabilities.