Work Placement / Internship

Technology and Data Summer Placement 2021

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Turner & Townsend is a global consultancy, applying technical excellence in their work across the real estate, infrastructure and natural resources sectors.

We have grown to become a world-leading professional services company. With 110 offices in 45 countries, we draw on extensive global and industry experience to manage risk while maximising value and performance during the construction and operation of our clients’ assets.

What is it like to work at Turner & Townsend?

We asked some of our people from around the world and this is what they said..

Job Description

This placement opportunity is specifically for MSc students who are completing a masters in a computing or digital subject.

As part of the placement you will have the opportunity to work on one of the following projects:

Predictive Fraud Detection

The aim of this project will be to develop a model powered by machine learning to enable proactive fraud detection of suppliers’ payment data, which is usually of high volume but low veracity, in the construction industry. The outcome of this project will be a proof-of-concept to demonstrate the ability of using a model to detect and predict fraud or suspicious activities of suppliers, improving efficiency and accuracy to what is usually a manual process. Preferred technologies programming languages are Python, R, Azure SQL.   

Carbon Cost Modelling

The aim of this project will be to develop a model powered by machine learning to monitor carbon footprints and the associated costs, which will in turn enable organisations to identify low-carbon alternatives and manage their climate-related risks. This project will focus on the construction sector. The outcome of this project will be a proof-of-concept taking variables such as materials and asset types into account to model carbon costs and help identify carbon efficiency. Preferred technologies programming languages are Python, R, Azure SQL. 

Carbon Cost Modelling

The aim of this project will be to develop a model powered by machine learning to monitor carbon footprints and the associated costs, which will in turn enable organisations to identify low-carbon alternatives and manage their climate-related risks. This project will focus on the construction sector. The outcome of this project will be a proof-of-concept taking variables such as materials and asset types into account to model carbon costs and help identify carbon efficiency. Preferred technologies programming languages are Python, R, Azure SQL. 

The placements usually start in June and will last between 10 and 12 weeks. This placement is suitable for anyone wanting to gain an insight into the construction industry and the projects we work on.

If you complete a placement with us, you will have the opportunity to fast-track directly on to the GDP. 

As a placement student with Turner & Townsend, you will have the opportunity to develop first class consultancy skills and work with industry leading clients on some of the most exciting projects across the UK.

Qualifications

To apply you must be have been awarded a 2:1 or 1st in your undergraduate degree in any STEM discipline and  have the right to live and work in the UK. 

You also must be a masters student completing an MSc in the area of computing or digital. 

We also look for individuals with the following qualities -

  • Strong communicator
  • Committed to making a difference
  • Quality driven
  • Exceeds expectations
  • Team player
  • Commercial thinker
  • Passion for the construction industry
  • Desire to learn and grasp opportunities.

Additional Information

The benefits we offer include:

  • Competitive salary
  • Structured learning and development sessions throughout your programme
  • Support to become professionally qualified
  • Access to a range of online learning tools
  • Corporate gym membership
  • Pension
  • Employee assistance programme
  • Season ticket loan
  • Ability to buy or sell annual leave days
  • Company social events
  • Sports team membership
  • Mentoring
  • Cycle to work scheme.

Please be aware that we recruit on a rolling basis so it is important to apply as early as possible. 

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