Arboricultural Project Manager (Highways)

Redmoss
1 week ago
Create job alert

We are excited to offer a fantastic opportunity for a Permanent Arboricultural Project Manager (Highways) to join our dynamic Scottish Grounds Maintenance team in Scotland. This is a full-time role working 45 hours per week, Monday to Friday.

In this role, you will be responsible for the management of a range of Arboriculture Projects, including Ash Dieback, undertaken by Amey throughout Scotland, principally on the NMC North-East & South-West Contracts. Our NMC SW account spans from Glasgow to Dumfries to Stranraer, while our NMC NE account covers areas from Perth to Nairn. Your work location will primarily depend on your residence and the specific job site.

This role would suit a candidate with an arboriculture or forest management background. The ideal candidate will have a keen eye for detail, strong analytical skills, and the ability to work collaboratively within a team to set and manage project objectives and outcomes, including developing requisite processes and technical solutions.

What You'll Do:
Lead and manage woodland and Ash Dieback projects from inception to completion, ensuring timely delivery within scope and budget.
Oversee the collection of accurate data on tree and woodland assets, including condition and maintenance requirements.
Work closely with data collection and GIS teams, identify opportunities for process improvement and implement innovative solutions to enhance data capture and analysis capabilities.
Ensure the accuracy and integrity of data analysis processes. Implement quality control and validation measures to maintain high standards of data reliability.
Utilise analytical tools and techniques to extract meaningful insights and trends from large datasets and to enhance data management and analysis capabilities.
Perform detailed analysis of data to inform management strategies.
Create detailed reports and visualisations to communicate findings and recommendations to stakeholders. Present data in a clear and concise manner, making it accessible to both technical and non-technical audiences.
Prepare technical notes, woodland management plans and ash dieback action plans.
Evaluate felling and thinning operational methodologies and access constraints. Collaborate with stakeholders and supply chain to develop solutions.
Develop and implement operational delivery programmes. Monitor progress and performance of delivery to ensure safety, quality and productivity standards are met. Identify and mitigate programme risks and manage change.
Diligently capture and manage delivery records.
Measure works in accordance with approved methods.
Provide day-to-day administrative support for operational activities.
Undertake Professional Tree Inspections and woodland / vegetation surveys when required. Why Join Us?

At Amey, we don't just offer jobs, we offer opportunities to build fulfilling careers. As one of the top 1% of employers recognised by Investors in People, we are committed to your professional growth and wellbeing. Here's what you can expect when you join our team:
Competitive Salary: Enjoy a competitive annual salary with the potential for yearly reviews to ensure you're rewarded for your contributions.
Company Car: Select from an electric company vehicle or receive a generous car allowance, supporting our ambitious journey to carbon net zero!
Career Growth: Propel your career with clear, dynamic advancement opportunities
Training Opportunities: Unlock your potential with comprehensive training tailored to your growth.
Personal Development Opportunities: Advance your personal growth through mentorship and access to our award-winning programs like our Leadership Development, (email address removed), and Multicultural Leadership programs.
Pension: Benefit from a generous pension scheme with company contributions for your future peace of mind.
Holidays: Enjoy at least 24 days of holiday plus bank holidays, and the opportunity to buy further 5 days! Giving you plenty of time to relax and recharge.
Flexible Benefits: Customise your benefits package with options like additional leave, cycle-to-work schemes, charitable giving, and gym memberships.
Exclusive Discounts: Access our online portal filled with discounts from leading retailers, healthcare services, and more, helping you save on the things that matter.
Social Impact: Take part in our community initiatives with 2x paid volunteering days a year, plus other opportunities to support fundraising and local projects. Candidate Requirements:
Able to work across all of Amey's Network Maintenance Contracts in Scotland.
Proven experience in project management and data analysis in the field of arboriculture or forestry.
Possess strong project management skills, with experience in planning, executing, and monitoring projects to ensure successful outcomes.
Strong analytical and problem-solving abilities. Ability to think critically and develop innovative solutions to complex challenges.
High level of accuracy and attention to detail in data collection, analysis, and reporting.
Extensive experience of GIS / Asset Management software.
An organised team player with the ability to communicate well with others.
Strong operational knowledge of thinning and felling methodologies with particular focus on mechanised solutions.
Ability to translate complex information, including contractual documents.
Ability to work collaboratively with cross-functional teams, build positive relationships with stakeholders and influence outcomes.
Excellent written and verbal communication skills, with the ability to present data and insights clearly and effectively to diverse audiences. Qualifications & Experience
Bachelor's degree in Arboriculture, Forestry, Environmental Science, or a related field is preferred. Candidates with Higher National Diploma in a relevant discipline may be considered.
Current attainment in Lantra Professional Tree Inspection, or commitment to attain at a defined time in the future, is essential.
Business, Project Management, Data Analytics or Process Improvement qualifications are desirable but not essential.
Appropriate experience working on a trunk road maintenance contract or having successfully fulfilled a role of a similar nature is desirable but not essential.
Strong entry level candidates with appropriate qualifications may be considered. If you're ready to make a meaningful impact on our business and contribute to a shared, sustainable future, we invite you to join us in advancing our strategy and driving positive change.

Application Guidance

At Amey, we value a culture ff diversity and inclusion. We encourage applications from individuals who are passionate about making a positive impact, no matter their background, gender, race, or personal circumstances. We believe everyone deserves the opportunity to shine.

As a Disability Confident leader, we're proud to offer applicants with a disability an interview if they meet the minimum requirements for the role.

If you have any questions or need any adjustments during the recruitment process, don't hesitate to reach out to Susan Rutherford our recruiter for this role, at (url removed).

#CVL

#LI-SR1

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.