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Wood PLC, Applied Intelligence team is currently recruiting for a Digital Scientist and Engineering Graduate to join the Intelligent Operations business based in Aberdeen. We are looking at recent graduates or those with some prior work experience. This career opportunity is part of the UK Digital Integration & Innovation team and is offered on a permanent staff basis. Our goal is “Transforming complex and dynamic data into actionable intelligence by combining domain knowledge with digital technologies”.
This role has come about due to continued success and organisational growth and team expansion. On joining the team, you will be an active member of a collaborative, dynamic and technically skilled group. We are looking for a dynamic, digital and tech savvy individual with an engineering background who is resilient, versatile and seeking a role within a fast-paced environment. Our ideal candidate will have a keen interest in artificial intelligence and software development with a degree in engineering. This is a significant opportunity to develop your career and thrive in a problem solving, solutions-focused environment, from deploying 3rd party and partner technology to implementing new models in order to help our global customers realise significant efficiency and value improvements.
Responsibilities
- Build fit-for-purpose, scalable solutions, utilising engineering and data science techniques, to solve complex problems and generate value for clients.
- Integrate diverse, often real-time, data sets into open architectures that drive value through automation, advanced analytics and workflow optimisation.
- Utilise engineering background to identify opportunities for optimisation and value through modern data science techniques. Pro-actively drive this innovation to realisation and implementation.
- Work with Wood technology partners, Wood domain experts and across geographic locations.
- Participate in an Agile/Scrum methodology.
Skills/Qualifications
- Master’s Degree or PhD in, preferably, chemical engineering (or any other engineering degree), preferably with specialism in one of computer science, applied mathematics, statistics, machine learning, or a related data centric field.
- Fluency in at least one scripting language (e.g., Python, R)
- Knowledge of Data Science techniques, such as Machine Learning
- Knowledge of designing and developing applications using the Microsoft .NET or python development platform
- Ability to work independently and collaborate across functional groups as required
- Strong verbal and written communication skills with the ability to communicate effectively across multiple disciplines
- Strong analytical, problem solving, and debugging skills
- Client focused with solid communication and relationship building skills
- Right to work in the UK (preferable)
Early Careers Network
You will have access to the Early Careers Network that brings together young professionals and offers continuing professional development opportunities.
Early Careers Network activities include
- Networking opportunities
- Organised social events
- Lunch and learn sessions
- Technical and soft skills training
- Participation in STEM events
- Access to Wood’s Global Developing Professionals Network
Key Elements of the Graduate Programme
- Access to a wealth of technical and personal development resources and opportunities through Wood’s global network of technical leaders and subject matter experts
- Support throughout your career; you will be assigned a buddy, mentor (Chartered Engineer) and departmental manager to ensure your professional development is achieved in order to gain Chartered Engineer status
- Structured Graduate training sessions on a range of topics such as multiphase flow, simulation best practice, how projects are estimated, report writing best practice, etc
- Competitive salary
- Access to a range of excellent employee benefits including:
- Flexible Benefits tailored to your needs
- Cycle to work scheme
- Give as you earn scheme
- Generous holiday allowance plus extra days purchase option
- Travel and private medical insurance
- Great Pension Plan and life assurance
- Shares option
- Time off in lieu
- The benefits of working from home and the flexibility this affords has been recognised within Wood. The opportunity for working from home is currently available.
Diversity Statement (EEO)
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.