GIS Consultant - various levels (Consultant / Principal / Senior)

Tetra Tech, Inc.
Southampton
1 year ago
Applications closed

Related Jobs

View all jobs

GIS Data Analyst

Data Science Consultant

Freelance Spatial AI and Machine Learning Consultant

Geospatial Data Engineer (12 month FTC)

Marine GIS & Data Analyst - Offshore Projects

Data Analyst - Highway Assets & GIS (Hybrid)

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.

Consultant / Senior / PrincipalLOCATION - SOUTHAMPTON OR MANCHESTER

Are you ready to elevate your career to new heights? Do you aspire to engage in impactful work that truly enhances the quality of life for communities around the globe?

At Tetra Tech, you'll join a dynamic team of innovators and problem-solvers who are dedicated to tackling some of the most pressing challenges in water, environment, infrastructure, resource management, defense, energy, and international development.

As a member of our geospatial team, you will dive into a diverse range of projects spanning multiple sectors, including water, defense, and nuclear. This role promises an exciting mix of single and multi-disciplinary initiatives, allowing you to apply your skills in various locations and technical contexts. Each project presents a unique opportunity to make a difference, ensuring that no two days are ever the same.

Join us at Tetra Tech, where your expertise will contribute to groundbreaking solutions that shape a sustainable future!

Responsibilities

  1. Dealing with mapping requests from all corners of our business, making sure that each project is executed to the highest standards of quality.
  2. Sourcing, preparing, and analysing data to create compelling graphics, metrics, and reports that facilitate understanding for non-GIS users.
  3. Using ESRI Technology stack to create applications that benefit our clients.
  4. Engaging in projects that demand your analytical prowess, management skills, and mapping expertise, allowing you to shine in a collaborative environment.
  5. Capturing, updating, and maintaining datasets for use internally and externally.
  6. Supporting the Geospatial team with delivering projects as needed.
  7. Contributing to the enhancement of our Geospatial technology stack to elevate quality and efficiencies, while also facilitating the integration of innovative technologies for our internal and external clients.

About YouEssential:

  1. A relevant degree in GIS, environmental sciences, or geographical sciences, with advanced knowledge of GIS software and/or work experience and qualifications reflecting a similar level of expertise.
  2. Experience with ESRI stack, particularly ArcGIS Pro, Survey123, Field Maps, and AGOL.
  3. The ability to work efficiently and respond quickly to meet deadlines, whilst working on several projects simultaneously.
  4. Good knowledge of using UK environmental and Ordnance Survey datasets.
  5. A proactive, organised, and effective approach to your work and an appetite for diverse projects.
  6. Suitability for security clearance.

Desirable Skills:

  1. Experience of working alongside teams in the delivery of data analysis and mapping.
  2. Experience with Artificial Intelligence (AI) and Machine Learning (ML) technologies.
  3. Experience with ArcGIS extensions, including Spatial Analyst, 3D Analyst, and Network Analyst, Insights and Dashboards.
  4. Experience of using Utility Network Manager.
  5. Experience of using FME and/or Data Interoperability.
  6. Experience with ArcGIS Enterprise and/or enterprise geodatabases.
  7. Experience using AutoCAD or other AutoDesk products.
  8. Knowledge of other GIS or CAD software.
  9. Knowledge of programming languages Arcade, Python, or R.

About Tetra Tech:

Tetra Tech is a leading provider of high-end consulting and engineering services for projects worldwide. We combine the resources of a global, multibillion dollar company with local, client-focused delivery in more than 400 locations around the world. We are Leading with Science to provide sustainable and resilient solutions for our clients. At Tetra Tech, we provide a collaborative environment that supports individual performance, innovation, and creativity.

We are proud to offer competitive compensation and benefits. Learn more by visitinghttp://www.tetratecheurope.com/careers.

To apply, please submit your resume and cover letter on the Careers portion of our website at Tetra Tech Europe Careers - Jobs (selectminds.com).

Tetra Tech is committed to creating a diverse environment and is proud to be an Equal Opportunity Employer. We invite resumes from all interested parties including women, minorities, and persons with disabilities.

We are very happy to discuss flexible working for this role, including the possibility of reduced hours, flexible start and finish times, or compressed hours. We can offer a range of solutions to help you to get the most out of your work/life balance.

We thank all applicants for their interest; however, only those selected for an interview will be contacted.

#J-18808-Ljbffr

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.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

Careers Jobs

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.