Geological Data Analyst (Hiring Immediately)

Spectrum
Lymington
3 months ago
Applications closed

Business Description


Spectrum Geosurvey specialise in coastal geophysical surveys, supporting a wide range of clients in the offshore renewables sector. We have a proven track record delivering the highest-quality hydrographic and geophysical survey data. Spectrum Geosurvey are seeking an enthusiastic and dedicated individual to join our growing team based in our Lymington office.


Position Overview


As a Geological Data Analyst, you will be responsible for the analysis of geophysical data, making geological interpretations of the seabed, identifying hazards to offshore assets, charting results and survey report writing. The role will also involve processing geophysical datasets (training provided). It is a varied, office-based role and great opportunity to develop different skills and build key industry-related skills and gain exposure to a variety of projects in the offshore renewable energy sector.


Successful applicants shall have a background in geology or geophysics (or other relevant Earth sciences) and GIS software such as QGIS or ArcGIS. The candidate will have a base knowledge of shallow marine processes and be able to identify geological features.


Experience with marine surveying techniques, including multibeam bathymetry, side scan sonar, magnetometry or seismic data would be beneficial, but is not compulsory.


Supported by an experienced and committed team of Geophysicists, the Geological Data Analyst will develop their skill set to carry out the following tasks within our growing company.


Role Responsibilities


  • Seabed sediment and morphology interpretation and mapping in GIS software.
  • Identify and digitize hazards to offshore asset construction.
  • Shallow geological interpretation and mapping using seismic data sources.
  • Chart data in GIS software, as well as generate report images and maps.
  • Write geophysical survey reports.
  • Assist in maintaining a high quality and consistency of data processing and deliverable creation.
  • Data quality control and data assurance ensuring that it complies with the project scope of work.
  • Assist in development of processing workflows.
  • Assist with data archive and data repository management, ensuring safe storage of a large variety of data formats.
  • Use Microsoft applications such as Excel and Word, to maintain accurate processing records.
  • Take the initiative in solving and implementing solutions.
  • Understand and work to company QHSE standards.
  • Processing geophysical data where necessary (training provided).


Required education/experience & attributes:


  • Degree or equivalent in a relevant subject such as Geology, Geophysics or other related marine or earth science.
  • Strong working knowledge of GIS and spatial data
  • Familiarity interpreting marine geophysical and geotechnical data to characterise the seabed.
  • Competent in the use of all Microsoft Office applications including Word and Excel.
  • Strong technical report writing.
  • Excellent data management and coordination skills to handle large volumes of data.
  • Ability to work both independently and as a team, have a can-do, proactive attitude and a strong verbal communication skillset.
  • High attention to detail while under pressure to ensure all relevant information is accurately reported.
  • Ability to take the initiative, to solve problems and troubleshoot where required.
  • Able to work in the UK.


Desired but not essential education/experience & attributes:


  • Working knowledge and understanding of multibeam bathymetry, side scan sonar, magnetometer and seismic systems and/or previous experience using geophysical software packages such as SonarWiz, Oasis Montaj, RadExPro and IHS Kingdom.
  • Experience with a scripting language (e.g. Python).
  • Full valid UK driving license.


Core attributes and conduct


  • Adhere to moral and ethical principles in all interactions
  • Be inclusive, respectful and team-focused
  • Being open and honest in communication and operations
  • Celebrate other people's successes - raise each other up
  • Contribute to a cooperative and supportive work environment
  • Ensure the confidentiality and security of data and company information
  • Maintain high levels of professionalism within the team
  • Providing a positive feedback loop to improve quality and practices
  • Take ownership of your training/development
  • Work safely - your safety and that of others


Company Benefits


  • 33 days of annual leave per year (including Bank Holidays)
  • Pension 5% Matched
  • Flexible working hours
  • Continuous training and development opportunities
  • Cycle to work scheme (salary sacrifice)
  • Modern, environmentally friendly office with sit down/standing desks
  • An Employee Assistance Programme, providing trained wellbeing and counselling practitioners and 24/7 telephone support
  • Free eye tests
  • Free team lunch on a Wednesday
  • Great team culture
  • Sport socials


How to Apply:

Interested applicants should submit a CV and a cover letter outlining their suitability for the role to .

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.

Jobs

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Jobs

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Jobs

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

🍪 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.