Senior/Lead Data Scientist
Bristol or London, GB
Wood Thilsted (WT) is a boutique engineering consultancy company focused on all aspects of foundation design and project development within the offshore and onshore wind energy industry. WT’s capabilities began with a focus on geotechnical and structural engineering and has grown over the last 5 years to include geophysics, metocean, scour, seismic, and wind resource specialties. We operate globally, with projects located mainly in Asia, North America and Northern Europe. We currently employ over 85 staff, working from offices in Denmark, Japan, Taiwan, USA and the UK with a continued growth foreseen in the near future.
As a company, we strive for technical excellence and to provide the best overall value to our clients’ projects. We pride ourselves on the achievements realised on decreasing LCoE, through the use of our broad expertise to carve the optimal and most suitable site specific design. We have a strong company culture based on mutual trust, honesty, knowledge sharing and a friendly social environment.
We have a number of large foundation detailed design projects in offshore wind, as well as a continuous stream of concept and FEED studies, plus design work on several innovative concepts (outside of the currently accepted foundation concepts for offshore wind), including floating structures. We continue to strengthen the way we deliver these diverse projects, implementing state of the art project management and problem solving, and we are seeking talented people to join the team.
Due to the success and growth of the company, we are searching for an experienced and motivated Senior or Lead Data Scientist to be a part of the Wood Thilsted team and to support the future development of the company.
The primary work location will be preferably Bristol (UK), however London is a potential option. Nevertheless, given that our teams, clients and projects are spread internationally across Northern Europe, North America and South-East Asia, you may expect some travelling in relation to your work, both nationally and internationally. In addition, there may be opportunity, during your employment, for long-term or short-term postings abroad.
Areas of responsibility: As a Senior or Lead Data Scientist, your main assignment will be to develop the tools and data-bases necessary to manage and deliver Energy Production Assessments and Site Conditions Assessments (including both wind and marine conditions) for offshore wind projects, but also onshore as required.
Furthermore, your role may also include (but not be limited to):
Undertake R&D as required, namely develop or assist in the development of in house tools to facilitate and/or automate the delivery of energy assessments and reporting
Lead the development of digital in-house tools and databases as needed for the efficient delivery of the core services of marine and wind data analysis, as well as other related areas e.g. day ahead forecasting, SCADA data analysis, digital twin, etc
Propose and develop tools or methodologies that will increase quality and efficiency of work delivered
Delivery of Energy Production Assessments and Site Conditions Assessments (including both wind and marine conditions) for offshore projects. This may either include delivering the work yourself, or, as the company grows, manage other employees delivering the work. (Necessary training will be provided)
Delivery of complete site conditions assessment, including wind and other factors, for offshore wind sites
Proposal writing and budgeting of the work required
Project management of own work and/or that of junior colleagues
Quality check and/or approve the work delivered by others
Attend client meetings and conferences, and present work or R&D as needed
You should hold a master’s degree or higher in mechanical or environmental engineering, physics, mathematics, statistics, meteorology or similar discipline
You should also have commercial experience delivering Energy Assessments and Wind Site Conditions Analysis for offshore or onshore projects
You should have significant experience in programming and developing tools used to deliver both pre and post-construction Energy Assessments and Wind Site Conditions Analysis for onshore or offshore projects
You should have experience analysing both meteorological data and turbine SCADA data from wind farm projects
You should have experience developing data bases and building machine learning algorithms
It is essential that you:
Have experience with instrumentation and QA/QC of both meteorological wind data and turbine SCADA data;
Have strong programming skills in Matlab and/or Python
Are well organised and able to keep track of multiple aspects of work, re-appraising and re-prioritising activities throughout the project lifecycle as both your team’s availability and the client’s requirements evolve;
Are able to communicate effectively with colleagues, clients, consultants and contractors through a variety of media, including both web-based telecommunication and face-to-face meetings;
Have excellent verbal and writing skills in English;
Are a team player;
Are pro-active in your efforts to engage with others;
Demonstrate a strong drive to fulfil your assignments, and a willingness to take the initiative when faced with opportunities to exceed expectations;
Possess excellent numeracy, literacy, communication and interpersonal skills;
Are fluent in the use of standard office software such as MS Word, Excel, PowerPoint, Outlook, etc;
Have permission to work in the UK;
Furthermore, it is advantageous if you have experience of some of the following:
Extensive experience as a Data Scientist, preferably in the wind sector;
An appreciation of the current and projected scales of the offshore wind sector, including different turbine and foundation technologies, and the different types of challenges prominent in different regions of the global market;
Language skills other than English;
In return we offer you excellent opportunities to grow, influence your daily work, develop new competences and work on interesting projects and innovative R&D. We also offer a competitive work package and a very friendly, flexible work environment.
Apply: Please apply by using the direct link below where you will have the opportunity to upload a CV and enter your details for consideration.