Geomatics Analyst - Offshore

Beam
London
2 months ago
Applications closed

Related Jobs

View all jobs

Beam is a global provider of ROV and hydrographic services, supported by unique artificial intelligence-based technology products. We have a vast track record in supplying services and technology to the Offshore Energy industry across the globe.

We invest in research and development, creating technology to support our clients. Our vision is to provide truly autonomous collaborative subsea robotics to perform Offshore Energy services.

 

Be a part of our mission to make the world cleaner, greener, and safer while enjoying a truly inclusive and supportive workplace.

Location:Offshore 

Salary:Competitive

Geomatics Analyst - Offshore

Similar roles may be advertised as:Hydrographic Data Processor, Data Processor or Offline Surveyor.

Are you passionate about geospatial data and eager to play a pivotal role in the renewable marine industry? Join Beam as a Geomatics Analyst and be at the forefront of our hydrographic survey and inspection projects. You will ensure the highest standards of data quality and contribute to cutting-edge projects using the latest survey technologies.


Your Role:

As a Geomatics Analyst, you will be integral to our mission of delivering precise and reliable survey data on our vessels. Your day-to-day activities will involve:

  • Quality Control & Assurance: Ensure the accuracy and consistency of acquired geospatial survey data, as well as final survey delivery products, aligning with project specifications.
  • Data Processing: Process survey data collected from various platforms (vessel, USV, AUV, ROV, ASV) and produce high-quality survey data products.
  • Knowledge Development: Continuously develop your expertise in survey and geospatial applications and techniques, staying ahead of industry advancements.
  • Documentation & Handover: Maintain comprehensive handover notes, a detailed processing log, and a checklist to ensure seamless project continuity.
  • Support & Administration: Provide crucial support to our offshore teams and manage the setup and administration of data processing hardware and software.


You should apply if you have:

We know it’s tough, but please try to avoid the confidence gap. You don’t have to match all the listed requirements exactly to be considered for this role:

  • A degree in Surveying, Hydrography, Ocean Science, Geography, GeoData or a related data/science/engineering discipline.
  • Proven experience in offshore hydrographic and inspection survey projects as a Data Processor.
  • Strong data management skills, ensuring efficient and accurate data handling.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Strong organizational skills and mindfulness.
  • EIVA NaviEdit and NaviModel.


Desirable Skills:

  • Experience as an Online Surveyor involved in the setup of survey systems and overseeing acquisition.
  • Proficiency in data analysis tools such as Power BI or Tableau.
  • Knowledge of programming languages, enhancing your ability to automate and streamline processes.
  • Project management skills to contribute to the successful planning and execution of survey projects.
  • Software: QGIS, Microsoft SQL Server, QPS Qinsy, and EIVA NaviPac.


Grow together with Beam where you will learn these skills or build on your expertise:

  • Knowledge of the robotics, software, and marine renewable industries.
  • Acquisition and delivery of hydrographic survey and inspection projects.
  • Geospatial data presentation and analysis techniques.
  • Exposure to cutting-edge technologies like machine learning and AI.


About Beam

At Beam, we bring the technology to transform offshore wind through AI and robotic automation, alongside the determination to tackle the significant challenges ahead. We’re committed to making the transition to renewable energy a reality.

Through industry-defining R&D and transformative partnerships, we’re reshaping what it means to work in offshore wind. Beam is making wind farm development more efficient, reducing risk, complexity and cost, while helping to cure an unsustainable dependence on oil and gas.

Together, we are Beam. And we’re leading the charge towards a sustainable future.


Benefits

People join Beam because they are excited by the possibility of leaving their own mark on the world and developing solutions that solve real world problems. Although we share the same vision, we value varied perspectives, and we adapt to fit different people from all walks of life. Not only does that make for a genuinely awesome team of colleagues, but it also makes day-to-day life more interesting, and it’s how we keep evolving and getting better at what we do.

What’s in it for you? You’ll get to work with a passionate, smart and highly driven team with an incredible range of skills. 

In addition, you’ll get an extensive range of benefits so you can focus on doing your very best work:  

  • Flexible working options including compressed hours 
  • 28 Days Annual Leave paid at Day Rate, inclusive of public holidays
  • Private medical insurance, including Dental & Optical 
  • Career and learning development through paid courses, conferences and events
  • Curiosity fund – up to £500 to spend on learning which is not role related
  • Up to 10% company bonus
  • Pension up to 6% company contribution
  • Life assurance paid at 4X salary
  • Volunteering day, to give back to your local community
  • Enhanced maternity and adoption leave
  • Cycle to work scheme
  • Recognition & rewards for doing great work and living our values and behaviours


Join Beam in our mission to make the world a cleaner, greener and safer place by deploying technology for good.  

Interview Process

At Beam, we've designed a straightforward interview process to ensure the best fit for both you and the company. We have adopted anonymised recruitment. This means that your name, date of birth and other personal details will not be seen by the hiring team.

  • Application:Begin by submitting your application with your CV, highlighting your skills and experience relevant to the job. Answer key questions on elements that are important to the role.
  • Talent Partner Interview:We will tell you more about the role, the team and Beam’s mission. This is a two-way conversation; we want to learn about your motivation, what you can bring to Beam, and provide answers to your questions.
  • Aptitude Test:Demonstrate your critical thinking, problem-solving abilities, and workplace personality through an aptitude test.
  • Team Interview:Engage in a 1-hour interview with a few team members. Experience the role firsthand and share your skills and experience. We'll discuss our technologies, key skills, and team dynamics. As always, feel free to ask any questions you may have.
  • Executive Conversation: Meet with an executive for a 30-minute discussion. This is your opportunity to express your thoughts on the role and ask any final questions. We'll clarify expectations and ensure this role aligns with your aspirations.
  • Offer!If you are successful in the process, you'll receive an offer to join Beam and become part of our team.

 

We value the diversity of our teams and are committed to supporting and welcoming individuals from all backgrounds, knowing that every perspective is a valuable part of our success. Should you require any reasonable adjustment throughout the recruitment process, please do not hesitate to let a member of the Talent team know. 

Be part of a technology company making a positive impact, apply now


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.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.