Solution Consultant

Aberdeen, Aberdeenshire, United Kingdom

Wood

With 35,000 professionals, across 60 countries, Wood is one of the world’s leading consulting and engineering companies operating across Energy and Materials markets.

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Wood is currently recruiting a Solution Consultant to provide digital solution services to Wood’s global client base in the energy and material sectors. This position will primarily be within Wood’s maintAI team. maintAI is Wood’s AI-enabled maintenance and integrity optimisation process, which assists operators in reducing costs and improving reliability for energy and material assets. 

Remarkable people, trusted by clients to design and advance the world. 

Wood is recruiting for a Solution Consultant to expand our Intelligent Asset Solutions team in the UK. The roles will form part of our main AI solution initiative. We are looking for individuals who get a kick out of working closely both with our clients and with our best business, digital and technical domain experts, to drive real decarbonisation and optimisation outcomes for energy and material markets.

Although hybrid arrangements can be agreed on, the role has in-office presence requirements for one of Wood’s offices in Aberdeen, Glasgow, or Staines.

#LI-Hybrid

The Role 

Join our team as a Solution Consultant who will bridge cutting-edge AI solutions with client business needs, delivering transformative recommendations that optimize maintenance, production, reliability, inventory, and emissions. Working within diverse project teams, you'll blend technical expertise with business acumen to analyze complex data, develop innovative frameworks, and implement sustainable engineering solutions. This role offers the exciting challenge of translating sophisticated AI insights into actionable strategies while navigating varied organizational dynamics to drive meaningful change. Your work will create lasting operational improvements for clients while contributing to our growing toolkit of proven solutions. We're seeking a versatile professional who combines strong analytical capabilities with excellent communication skills—someone who can independently tackle complex problems while collaboratively building client relationships that ensure successful transformation and measurable business impact. 

Our Clients and Projects  

Designing the future. Transforming the world.

In our practice, we work with energy and materials clients on operational challenges. We provide AI and digital engineering solutions to improve asset management, emissions reduction, and efficiency. Our expertise in combining industry knowledge with technology allows us to create frameworks that meet technical and regulatory demands. Your work will optimize maintenance, enhance production efficiency, and develop sustainability plans, impacting critical infrastructure and aiding clients in transitioning to sustainable operations.

What we can offer

  • Meaningful and interesting projects delivered to high profile clients across the Energy Sector 
  • Commitment to Diversity and Inclusion; we are an organisation actively committed to diversity and inclusion across our business
  • Competitive remuneration package with regular reviews to ensure we are rewarding at the right level in line with the market
  • Flexible benefits package inclusive of 33 days annual leave (including public holidays), plus the potential for one additional ‘flex day’ per month. Further benefits include a generous contributory pension scheme, private medical cover, 4x base salary life insurance; all of these and more that can be adapted to suit your own lifestyle
  • Commitment to continued professional development; development plans that are tailored to your individual needs and interests
  • Global connections: join experts around the world who are at the leading edge of our industry, shaping the standards of our profession
  • Energy Transition Academy; join a community of experts sharing your knowledge and gaining more exposure to a variety of existing and emerging energy systems – delivered by experts in their field
  • A major part of role is providing engineering recommendations to our clients based on outcome of our main AI solution and walk them through the recommended changes based on technical arguments and business requirements 
  • You will work within a client project team of 5-8 business, technical and digital domain experts focusing on rapid and sustained value delivery in optimisation of maintenance, production, reliability, inventory and emissions
  • This includes end-to-end consulting from business casing, dynamic asset management system design, AI model generation and solution deployments for multiple areas
  • Our final artefacts focus on offering technical and digital engineering solutions, including artificial intelligence and engineering models, to enhance operational efficiency
  • To maximise impact, you will use your proven change and transformation skillset to drive the change adoption and embedding of these engineering solutions within our client’s business
  • Through implementation, you will also help to develop proven Wood toolkit to expand our collective knowledge base to better help our clients
  • Demonstrate understanding of the client's overall problem and quickly generate frameworks or solutions for the team
  • Discuss issues beyond immediate scope of the project and build lasting relationships
  • Test and understand client's organisational dynamics (using surveys, focus interviews and other consulting tools) and adapt behaviour accordingly
  • Analyse data (e.g. engineering reports, drawings, surveys, products) leveraging data analytics tools with minimal supervision from senior colleagues

What makes you remarkable?  

At Wood, we are committed to equal opportunities and welcome all talented individuals to consider joining our team. So even if you don't match every statement below but feel you have some of the experience, knowledge or skills needed for this role, we encourage you to apply. It will take all of us working together to deliver solutions to the world’s most critical challenges.  

Expected: 

  • Advanced degree in engineering is essential (preferred to be mechanical engineering, chemical engineering, or electrical engineering) 
  • Further education in a digital specialism will be advantageous 
  • Demonstrated deep technical and data analysis expertise, acute strategic and analytical skills, ability to lead and persuade, drive and energy, and desire to work in a project-based environment on strategic issues
  • Demonstrated aptitude for analytical and conceptual problem-solving comfort with quantitative analysis and accounting principles
  • Ability to understand the perspectives of varied stakeholder groups and comfortable with working at multiple levels within an organisation
  • Ability to communicate complex ideas effectively, both verbally and in writing
  • Willingness to travel globally for up to 30% of annual working hours
  • Experience in AI and machine learning is a requirement
  • Experience in financial modelling is a plus
  • Ability to work in a fast-paced team and international environment as a proven team player
  • Entrepreneurial drive and demonstrated ability to achieve stretch goals in any environment
  • Passion for solutioning, customer success and support

Desirable:

  • CMMS systems such as SAP or Maximo
  • Languages programming: Python, GO, C++, Java, Scala, JavaScript
  • Data Science and machine learning 
  • Cloud: Microsoft Azure

Wood is a global leader in consulting and engineering, helping to unlock solutions to critical challenges in energy and materials markets. We provide consulting, projects and operations solutions in 60 countries, employing around 35,000 people. www.woodplc.com
Diversity Statement  We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Consulting Jobs

Tags: Azure Consulting Data analysis Data Analytics Engineering Java JavaScript Machine Learning Python Scala

Perks/benefits: Career development Competitive pay Flex hours Health care Insurance Medical leave

Region: Europe
Country: United Kingdom

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