Geoenvironmental Engineer

Winchester
8 months ago
Applications closed

My client is a multi discipline Property and Construction Consultancy, who help their clients create better, more sustainable place for people to live, learn and work.
 
The team in Winchester are seeking a Geo-Environmental Engineer to work on new and existing projects in southern England, mainly comprising Phase 1 and Phase 2 Site Investigations. The position is based within the GeoEnvironmental Consultancy Department.
 
The Role
You will have the opportunity to work on a range of different projects mostly comprising redevelopment of brownfield sites. You will have the opportunity to become a key member of the team, working with the senior staff on some exciting projects.
Role and Responsibilities
·Planning, execution and reporting of Phase 1 and Phase 2 Geo-Environmental and Geotechnical site investigations
·Logging soil and rock samples
·Scheduling laboratory testing
·Site monitoring - groundwater, surface water and ground-gas
·Conducting soil and groundwater risk assessments Liaising with Clients and Regulators
·Production of Remediation Method Statements, supervision of remediation works and production of Validation Reports
Experience and Skills Required
·Relevant degree in Geology, Environmental Science - postgraduate degree desirable
·Experience working for a UK multi-discipline consultancy
·Excellent communication and report writing skills
·Membership of a professional organisation such as the Geological Society or CIWEM, ideally working towards Chartered Status
·Experience of quantitative human health, groundwater and ground-gas risk assessments
·Geotechnical knowledge, logging soils and rocks etc.
·Full driving licence
 
The Geo-Environmental Department provides a diligent, friendly working environment where staff are encouraged to research and be innovative in their work.
 
What We Can Offer
 
This role offers you the chance to progress your career at a forward thinking, friendly company. Along with providing you with an opportunity to learn and develop skills and qualifications as part of a dynamic team, we also offer;
·Ability to contribute to the growth and development of the team, adding value to our growing business
·25 days holiday - entitlements increase by 1 day per annum after 3, 5 and 8 years
·Private Healthcare
·Life Assurance
·Standard 6% Ridge Contribution - rising to 7% after 5 years, and 8% after 10 years
·Highly competitive salary
·Salary Sacrifice - Cycle to Work Scheme
·Buying and Selling Annual Leave
·Gym Membership Scheme
·Company car leasing scheme
 
When you join the company, you will be surrounded by professional people who are experts in their field. You will work with and be surrounded by mentors and a support network to help you to embrace new challenges, grow, develop your skills and experience to progress with your career.
 
This company has climbed to 14th position in the Building Magazine Top 150 Consultants, whilst continuing to rise within the Top 50 Architects, Engineers, Project Managers, and Surveyors lists - with us in the top 10 surveyors in the country. Showcasing our continued success

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.