Transport Planning Director

Edinburgh
8 months ago
Applications closed

Related Jobs

View all jobs

People Data Scientist

Data Science Intern

Data Science Intern

Data Science Intern

Data Science Intern

Data Science Intern

Transport Planning Director | Transport & Infrastructure
📌 Edinburgh
📌 Hybrid
Company Overview:
Join a well-established, 20+ year business with a strong national brand and a reputation for excellence in Transport Planning & Infrastructure.
The business is seeking a dynamic and entrepreneurial Transport Planning Director to lead and grow the Scottish business. This is a unique opportunity for someone who dreams of starting their own business but prefers the security and resources of an established company.
Enjoy the freedom to shape your own success without the hassle of starting from scratch or chasing fees, and benefit from their extensive national talent pool and resources.
Qualifications:

  • A degree in a related subject.
  • Member of the CIHT or equivalent.
  • Proven experience in transport planning or a related field.
  • Strong business development and project management skills.
  • Excellent communication and leadership abilities.
  • Entrepreneurial mindset with a desire to grow and develop the business.
  • Ability to work independently and as part of a team.
    Role Overview:
    This will be carved out by you. There are no time limits and no KPI expectations. As the brand ambassador of the Scottish Businesses, growth will inevitably take time - and patience.
    Some of the typical responsibilities will include:
  • Leading and delivering a variety of projects within our growing a team.
  • Engaging in activities from bidding through to client management and project delivery.
  • Supporting with data analytics, feasibility studies, modelling, transport appraisal, economic assessments, and sustainable transport initiatives.
    Key Responsibilities:
  • Secure and manage transport planning projects.
  • Contribute to business development and growth strategies.
  • Collaborate with a national team of experts to deliver high-quality projects.
  • Provide leadership and direction to the Edinburgh office.
  • Engage with clients and stakeholders to ensure successful project outcomes.
  • Support the development of innovative transport solutions.
    What We Offer:
  • The opportunity to lead and grow a business with the backing of a strong national brand.
  • Freedom from micromanagement and the ability to shape your own success.
  • Access to a vast pool of national talent and resources.
  • Highly competitive salary and benefits package.
  • Supportive and collaborative work environment.
    How to Apply: If you are a motivated and ambitious transport planner looking for a unique opportunity to lead and grow a business, we would love to hear from you. Please submit your CV or call in confidence to Zoe Hamilton on (phone number removed).
    Keywords: LR5V5R9R, Transport planner, transport planning, CIHT (Chartered Institution of Highways & Transportation), CILT (Chartered Institute of Logistics and Transport), Urban Planning, Traffic Engineering, Sustainable Transport, Transport Modelling, GIS (Geographic Information Systems), Data Analytics, Feasibility Studies, Transport Appraisal, Economic Assessments, Project Management, Stakeholder Engagement, Public Policy, Environmental Impact Assessments, Infrastructure Planning, Mobility Management, Smart Cities, Public Transport Systems

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.