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.

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

• 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.