Transport Network Modeller – Traffic Forecasts & Data Modelling in London

Transport Network Modeller – Traffic Forecasts & Data Modelling in London

London Full-Time 29700 - 36300 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Analyse complex datasets and build models for traffic and revenue forecasts.
  • Company: Oxford Economics, a top global economic research and consultancy firm.
  • Benefits: Flexible remote work options and opportunities to engage with clients.
  • Other info: Join a dynamic team with opportunities for professional growth.
  • Why this job: Make a real impact on transport improvements while developing your analytical skills.
  • Qualifications: Experience in data analysis and modelling, with strong communication skills.

The predicted salary is between 29700 - 36300 £ per year.

Oxford Economics, a leading global economic research and consultancy firm, is seeking a Network Modeller in the Transport Advisory Team.

The role can be based in our London Office or work remotely in the UK.

You will develop traffic and revenue forecasts for transport improvements by processing and analysing complex datasets, building models, and engaging with clients alongside senior team members.

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Transport Network Modeller – Traffic Forecasts & Data Modelling in London employer: Oxford Economics

Oxford Economics is an exceptional employer, offering a dynamic hybrid workplace in London that fosters innovation and collaboration. With a strong emphasis on employee growth, you will have access to cutting-edge projects in location intelligence, alongside opportunities for professional development and a supportive work culture that values diverse perspectives. Join us to make a meaningful impact in the field of economic analysis while enjoying the unique advantages of working in one of the world's most vibrant cities.

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Contact Details:

Oxford Economics Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Transport Network Modeller – Traffic Forecasts & Data Modelling in London

Connect with Local Logistic Groups

Dive into local transportation and logistics groups on platforms like Facebook or LinkedIn. Show up to their meetups if you can – it's a great way to network with industry pros who can share insights, job openings, or even refer you to their own company.

Get Behind the Wheel of Job Boards

Look for job boards specific to transportation and logistics, like Logistics Job Site or TransportJobs. These platforms often have listings that you won’t find on general job boards, so they’re worth checking out regularly!

Leverage Internships & Graduate Schemes

Many companies in transportation and logistics offer graduate schemes and internships that can pave the way to full-time positions. Don't shy away from applying; even a short stint can make a solid impact on your CV and get your foot in the door at companies like Oxford Economics.

Apply Directly with Us!

When you find openings at great companies, make sure to apply directly through our website. It not only shows your initiative but also helps us to help you get noticed by Oxford Economics. Every application gets us one step closer to landing that full-time gig!

We think you need these skills to ace Transport Network Modeller – Traffic Forecasts & Data Modelling in London

Data Analysis
Traffic Modelling
Forecasting
Complex Dataset Processing
Client Engagement
Model Building
Analytical Skills

Some tips for your application 🫡

Show Off Your Experience:When you're applying for a role in the transportation and logistics sector at Oxford Economics, make sure to highlight any relevant experience. Whether it's moving goods, coordinating schedules, or using transportation management software, give us the lowdown on your past gigs. It'll paint a clearer picture of what you're capable of!

Quantify Your Achievements:Numbers speak volumes in logistics! If you've optimised routes, reduced delivery times, or improved customer satisfaction, mention those incredible stats in your CV. This gives us concrete evidence of your impact and showcases your problem-solving skills.

Tailor That Cover Letter:Your cover letter should be more than just a formality—let it breathe your personality and passion for logistics! Explain why you're excited about the role at Oxford Economics and how you can contribute to our team. Don't forget to tie in specific skills or experiences that relate to the job description.

Research and Reflect:Before you hit 'submit,' spend some time digging into Oxford Economics. Understand our mission, values, and the specific challenges in the logistics industry. This will help you craft a targeted application that shows you truly want to be part of our crew, setting you apart from the rest!

How to prepare for a job interview at Oxford Economics

Know Your Logistics Basics

Get familiar with the key principles of transportation and logistics, like supply chain management, inventory control, and route optimisation. You might get asked practical questions about how to improve efficiency, so brush up on your problem-solving skills and be prepared to discuss any relevant software tools you've used.

Prepare for Scenario-Based Questions

In logistics, employers love to gauge how you'd handle real-life situations. Expect scenario-based questions where you’ll need to demonstrate your decision-making skills, like how to manage delays or coordinate shipments during a crisis. Practise outlining your thought process clearly and logically.

Highlight Your Teamwork Experience

Full-time roles in logistics often require collaboration with various teams, so don't forget to showcase your teamwork experience. Think of examples where you've used communication and collaboration to ensure smooth operations, and get ready to elaborate on how you can facilitate teamwork in a busy environment like at Oxford Economics.

Show Off Your Attention to Detail

In our world of logistics, missing a small detail can lead to big problems. Be prepared to discuss instances where your attention to detail saved the day, whether it was engaging with clients, managing documentation, or tracking shipments accurately. This will help demonstrate how you can be a reliable asset to Oxford Economics.