Turner & Townsend is a global professional services company with over 22,000 people in more than 60 countries. 

Working with our clients across real estate, infrastructure, energy and natural resources, we transform together delivering outcomes that improve people’s lives. Working in partnership makes it possible to deliver the world’s most impactful projects and programmes as we turn challenge into opportunity and complexity into success. 

Our capabilities include programme, project, cost, asset and commercial management, controls and performance, procurement and supply chain, net zero and digital solutions. 

We are majority-owned by CBRE Group, Inc., the world’s largest commercial real estate services and investment firm, with our partners holding a significant minority interest. Turner & Townsend and CBRE work together to provide clients with the premier programme, project and cost management offering in markets around the world.

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 supervision 

*On-site presence and requirements may change depending on our client's needs* 

*SOX control responsibilities may be part of this role, which are to be adhered to where applicable. 

Our inspired people share our vision and mission. We provide a great place to work, where each person has the opportunity and voice to affect change. 

We want our people to succeed both in work and life. To support this, we promote a healthy, productive, and flexible working environment that respects work-life balance.  

Turner & Townsend is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and actively encourage applications from all sectors of the community. 

Please find out more about us at www.turnerandtownsend.com/ and https://www.heery.com/ 

All your information will be kept confidential according to EEO guidelines.

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It is strictly against Turner & Townsend policy for candidates to pay any fee in relation to our recruitment process. No recruitment agency working with Turner & Townsend will ask candidates to pay a fee at any time. 

Any unsolicited resumes/CVs submitted through our website or to Turner & Townsend personal e-mail accounts, are considered property of Turner & Townsend and are not subject to payment of agency fees. In order to be an authorised Recruitment Agency/Search Firm for Turner & Townsend, there must be a formal written agreement in place and the agency must be invited, by the Recruitment Team, to submit candidates for review.