Graduate - Transport and Infrastructure Consultant

WSP in the Middle East; Sharjah; On-site; AED 120,000 - 200,000; Full time

Job summary

WSP in the Middle East is seeking a motivated Graduate Transport and Infrastructure Consultant to enhance transport projects through AI and data analysis. The role involves conducting research, project management, and collaboration with diverse teams to drive sustainable innovation in transport infrastructure. Ideal candidates should possess an MSc in a related field, showcasing analytical and problem-solving skills, along with proficiency in AI tools.

Qualifications

• Educational background in AI or related field, near graduation is acceptable.
• Proficiency in AI technologies and data analysis tools.
• Strong analytical and problem-solving skills.

Responsibilities

• Conduct research on AI applications in transport and infrastructure.
• Assist in managing projects ensuring timely delivery.
• Prepare reports to communicate findings and strategies.

Skills

Analytical Skills

Problem Solving

Communication

Team Collaboration

Passion for Innovation

Education

MSc degree in AI, data science, engineering, transport studies

Tools

Python

R

Azure Sandbox

Job description

Job Description

""Think bigger scale. Think higher profile. Think ground-breaking. Join WSP, and you’ll be at the heart of a team of international experts all dedicated to growing and sharing their expertise, and working on projects that transform society for all of us. We are seeking a motivated and innovative Graduate Transport and Infrastructure Consultant to join our team. The ideal candidate will focus on improving transport and infrastructure projects with the use of analytical and problem-solving skills to make creative, ethical, and responsible sustainable decisions with the support of AI engineering. This role provides an exciting opportunity to work at the intersection of emerging technologies, innovation, and multidisciplinary infrastructure development, collaborating with our regional and global teams to enhance our digital ways of working and ultimately improve the environment we all live and work in. We are looking for someone to join our team to be the catalyst for a new way of working

Responsibilities

• Audit: Assess how we are currently working and identify areas that the candidate feels they can help us improve and areas they are passionate about seeing active change.
• Research and Analysis: Conduct in-depth engineering research on the latest AI technologies and their applications in transport and infrastructure.
• Data Collection: collect and analyse data from various sources to inform project decisions, AI integration strategies and solve complex challenges.
• Project Management: Assist in managing research projects, ensuring timely delivery of milestones and objectives.
• AI Implementation: Work closely with technical teams to integrate AI solutions across all disciplines of the transport and infrastructure projects using Microsoft Azure Sandbox and related tools.
• Stakeholder Engagement: Collaborate with internal and external, regional and global stakeholders to understand needs and ensure successful project outcomes.
• Reporting: Prepare detailed reports and presentations to communicate research findings, project progress, and AI adoption strategies.
• Innovation: Identify and propose innovative solutions to enhance project efficiency, sustainability, and performance through AI.
• Team Collaboration: Work with our multidisciplinary teams to improve our new digital ways of working and contribute to a better environment for al
• The candidate will utilise their year with WSP to develop their portfolio, further their AI for engineering knowledge and deliver a number of innovative improvement initiatives that will ensure we become a better, faster more agile business.
  
  
  

Qualifications

• Educational Background: MSc degree in AI, data science, engineering, transport studies, or a related field. Near graduation is acceptable.
• Technical Skills: Proficiency in AI technologies, data analysis tools, supervised and unsupervised learning, neural networks, and deep learning, and programming languages such as Python or R and Azure Sandbox.
• Analytical Skills: Strong analytical and problem-solving skills with the ability to synthesize complex information.
• Communication Skills: Excellent written and verbal communication skills, with the ability to convey technical concepts to non-technical audiences.
• Project Management: Ability to manage multiple projects and deliverables effectively and efficiently.
• Team Collaboration: Demonstrated ability to work collaboratively in a multidisciplinary team environment.
• Passion for Innovation: A keen interest in leveraging AI to drive innovation in transport and infrastructure.