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We are seeking a Data Scientist who will leverage statistical analysis, machine learning, and Generative AI to build impactful solutions that drive customer productivity and business outcomes. The role involves translating business problems into data-driven models, collaborating with cross-functional teams to deploy scalable solutions, and fostering innovation through new technologies and mentorship
The Lead Quality Engineering role in the Analytics department is focused on ensuring the highest quality standards in software solutions. This position involves implementing testing strategies and collaborating with teams in the Professional Services industry to deliver robust outcomes.
The Head of Global Data & Analytics is responsible for defining and executing the enterprise-wide data and analytics strategy. The role drives transformation by establishing governance frameworks, building scalable data platforms, and enabling high-quality, compliant, and accessible data across the organization. It oversees the development of data products, analytics, and AI capabilities.
The Director - Product Innovation & Engineering will lead the end‑to‑end ideation, design, and development of GenAI‑powered products, accelerators, and reusable assets for enterprise clients. The role drives cross‑functional engineering leadership, product roadmap ownership, partner ecosystem integration, and thought leadership to deliver scalable, market‑ready AI solutions.
The Principal Data Scientist will design, build, and optimize advanced NLP, computer vision, and LLM‑powered systems that automate permitting and regulatory workflows for a leading GovTech platform. The role combines deep technical ownership with strategic leadership, driving AI innovation that directly shapes product direction and government efficiency at scale.
The position is a senior leadership role within the Client's data science organization, responsible for driving strategic analytical solutions, nurturing a high‑performing team, and shaping the company's growth. It requires deep client engagement, problem‑solving expertise, and the ability to convert complex business challenges across multiple industries into scalable data‑driven solutions.
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