Operations and Data Assistant

Turner & Townsend is currently seeking an Operations and Data Assistant , AI and Data Analyst to support the collection, analysis, governance, and reporting of data and AI-driven insights across the region. The role provides analytical and operational support for AI and data initiatives, ensuring data quality, accuracy, and consistency while contributing to the development of dashboards, reports, and machine learning solutions. This position plays a key supporting role in enabling data‑driven decision‑making, operational efficiency, and responsible use of AI technologies.   Reporting Line:  Operations Lead (where applicable)/ Regional Managing Director/ dotted line to Global ESG & Sustainability Lead.  Roles & Responsibilities:  • Support data collection, preparation, and consolidation from multiple internal and external data sources across business functions.  • Assist in maintaining data accuracy, consistency, and integrity through data cleaning, validation, and basic quality checks.  • Perform exploratory and routine data analysis to identify trends, patterns, and data anomalies under senior guidance.  • Support the development, testing, and monitoring of AI and machine learning models, including preparation of training datasets and performance outputs.  • Assist with the implementation and maintenance of data analytics and AI frameworks, tools, and standards aligned with company and global data governance practices.  • Support data governance, privacy, and security requirements, ensuring compliance with internal policies and applicable regulations.  • Contribute to the measurement, tracking, and reporting of data and AI performance metrics, ensuring outputs are accurate and audit-ready.  • Develop and maintain dashboards, visualizations, and reports using approved BI tools (e.g., Power BI, Tableau) for internal stakeholders.  • Develop and maintain AI Agents to automate tasks with key corporate functions.  • Provide analytical inputs to business teams, project teams, and leadership to support operational and strategic decision-making.  • Assist in responding to ad‑hoc data requests, audits, internal reviews, and client or stakeholder data queries.  • Collaborate with the operations teams to support AI-driven initiatives and projects.  • Support the continuous improvement of data analytics processes, tools, and documentation.  • Bachelor’s degree (or in progress) in Data Analytics, Computer Science, Statistics, Mathematics, AI, or a related field.  • Internship, academic projects, or entry-level experience in data or analytics is preferred.   Skills & Attitudes:  • Strong analytical and problem-solving skills with high attention to detail.  • Foundational proficiency in Python, SQL, or R.  • Experience in developing AI Agents   • Basic understanding of data analysis, statistics, and machine learning concepts.  • Familiarity with data visualization or BI tools (e.g., Power BI, Tableau) is desirable.  • Strong communication skills (oral and written) with the ability to present data clearly when supported by senior team members.  • Ability to work collaboratively in a matrixed, professional environment.  • Proactive, organized, and eager to learn emerging AI and data technologies.  • Good interpersonal skills, communication skills (oral & written) with a strong client-centric and commercially aware approach.  Prior Experience:  • 0–2 years’ experience in data analytics, AI support, business analytics, or related roles, including internships or academic projects..  • Exposure to data analysis, reporting, or AI tools within a corporate, consulting, technology, or professional services environment is preferred.  • Basic experience supporting data governance, reporting, or analytics initiatives under super