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- Tasks: Work on innovative urban transport modelling projects using data science and Python.
- Company: Join Arup, a leader in sustainable urban development.
- Benefits: Competitive rewards package and opportunities for technical growth.
- Other info: Be part of a diverse and inclusive workforce.
- Why this job: Make a real impact on sustainable urban development with high-profile projects.
- Qualifications: Strong background in data science and experience in urban or transport modelling.
The predicted salary is between 50000 - 65000 £ per year.
Arup is seeking an experienced Data Scientist to join their Transport Modelling team in London. This role involves working on innovative agent-based and activity-based modelling projects to support sustainable urban development.
Candidates should have a strong background in data science and Python, with experience in urban or transport modelling. The position offers opportunities for technical growth and exposure to high-profile projects.
Arup promotes a diverse and inclusive workforce and offers a competitive rewards package.
Data Scientist — Urban Transport Modelling & Analytics in London employer: Arup
Contact Detail:
Arup Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist — Urban Transport Modelling & Analytics in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the urban transport modelling field on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to urban or transport modelling. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding the latest trends in sustainable urban development. We want to see you shine when discussing your technical expertise!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist — Urban Transport Modelling & Analytics in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your data science skills, especially in Python and urban transport modelling. We want to see how your experience aligns with the innovative projects we work on!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Data Scientist role. Mention any relevant projects or experiences that showcase your expertise in sustainable urban development.
Be Yourself: We value diversity and inclusion, so let your personality shine through in your application. Share your passion for data science and how you can contribute to our team’s success!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to see your application and get you into the process!
How to prepare for a job interview at Arup
✨Know Your Data Science Fundamentals
Brush up on your data science basics, especially in Python. Be ready to discuss your previous projects and how you applied data science techniques to solve real-world problems, particularly in urban or transport modelling.
✨Showcase Your Modelling Experience
Prepare to talk about specific agent-based and activity-based modelling projects you've worked on. Highlight the challenges you faced and how you overcame them, as well as the impact your work had on sustainable urban development.
✨Emphasise Team Collaboration
Arup values a diverse and inclusive workforce, so be sure to share examples of how you've successfully collaborated with others. Discuss how you approach teamwork and how you can contribute to a positive team dynamic.
✨Ask Insightful Questions
Prepare thoughtful questions about Arup's projects and their approach to urban transport modelling. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.