Company Description

Working at Boskalis is about creating new horizons and sustainable solutions. In a world where population growth, an increase of global trade, demand for (new) energy and climate change are driving forces, we challenge you to make your mark in finding innovative and relevant solutions for complex infrastructural and marine projects. 

Boskalis has one of the largest global fleets of specialized offshore vessels, allowing us to carry out a broad range of offshore activities. We provide innovative and sustainable all-round solutions to tackle major worldwide maritime challenges. Our Offshore Energy division supports sustainable energy solutions such as wind energy as well as traditional fossil facilities. We’re involved in the entire journey from developing and transporting to maintaining and decommissioning these facilities. 

Job Description

Are you a recent graduate or do you have a few years of work experience? Are you currently searching for a job that offers the opportunity to work on globally impactful operations, all while being part of a dynamic and enthusiastic team?

As a Data Scientist, you will be part of the Boskalis’ Data Science and Engineering (DSE) community. You will be working from the Global Engineering department with Offshore Energy (OE). This small, yet expert team operates at the intersection of data technology and our core businesses of offshore services & operations. Together, we work on three key areas: data analysis and automation for our global projects, developing the in-house Boskalis.World data and application platform, and growing our Boskalis Python community. 

Imagine automating the execution of large-scale offshore projects and optimizing the performance of our innovative Bokalift crane vessels within our Boskalis fleet.  In this role, you will have the chance to contribute to our operations by utilizing your skills in algorithm development and creating data insights. You will have the opportunity to develop on cloud technology platforms like Azure DevOps and Databricks, while collaborating with OE Business Units (BUs), such as Heavy Lifting & Marine Transport, Subsea Cables, Marine & Subsea Services and Fleet Management. You will create tools that support the BUs, making a real impact on their organizations.

We want to optimize the complex logistics on our multi-disciplinary projects, not only in desk studies but also during the actual construction works in the field. We are looking for talent with an understanding of marine construction works, statistics, simulation, and software development. Don't worry if you are not proficient in all areas yet - we encourage continuous learning and development, your colleagues will help you out and we will provide on-the-job training for the right candidate!

Your responsibilities as a data scientist

Your main tasks will be:

• To develop & implement DSE projects with and for the OE BUs, improving their commercial & operational performance.
• To develop our capabilities in logistics simulation and optimization. We use open and private source Python packages to identify optimal execution methods by taking into account fleet capacity, weather conditions and the potential for unforeseen events. This is a co-development with Boskalis R&D, Dredging and OE colleagues.
• To develop new tools and improve Python models used by the BUs and in close collaboration with your colleagues in the business.
• To create web apps and dashboards to guide operational and department teams with their project activities by data fusion, algorithms, and visualizations.

We will guide and coach you to work in our development toolchain and the Boskalis business, for you to quickly: 

• Design and create fast and scalable APIs for colleagues in the business.
• Identify new automation and data-driven solutions for the company.
• Be able to enter a project team with a good skillset and experience to figure out their needs and independently work on solutions.
• Be a good source of knowledge for colleagues of other departments. Be able to educate, motivate and inspire data solutions.

Your qualities

You can make your mark as data scientist if you have:

• An MSc (or BSc) degree in engineering, econometrics, mathematics, or computer science;
• A proactive attitude will really help you integrate within the team and company. Next to that, very important is a drive for curiosity and learning;
• Experience with analysis and visualization of geospatial and timeseries data, modelling, and simulation techniques, using mostly Python;
• Experience with Docker, Kubernetes, PySpark or Databricks is not a must but a pre;
• A good command of written and spoken English.

Qualifications

What you can expect

• A dynamic environment: A job where you can make an impact, in an earth-moving company, as part of a diverse, international team of experts.
• Rewarding conditions: A competitive salary and much more, including holiday allowance, holiday entitlement of 31 days (based on a full-time contract), a non-contributory pension scheme, collective schemes such as company health insurance and travel allowance.
• Career development: Plenty of opportunities to realize your full potential. Challenge yourself with (online) courses in our Boskalis academy.
• The Boskalis campus: Experience the unique Boskalis Campus (6 main Buildings in Papendrecht and 1 in Abu Dhabi), complete with restaurants, sports fields, and a wharf where our vessels dock. We offer a state-of-the-art auditorium, brainstorming rooms, experience center for client meetings, and a barista corner where you can connect with colleagues.
• Young Boskalis: Are you under 36? Come and join Young Boskalis! Have fun and join in social and sports activities ranging from pub quizzes to yoga, bootcamps and an annual sailing boat race. Networking and knowledge sharing are a vital part of Young Boskalis as well.

Extra information

• Your team: You will be part of small, mostly young and diverse team of data engineers, software developers and domain architects.
• Where you will work: For office-based roles, in consultation with your manager and your team, you work partly at home and partly in the office. Occasionally, it is required to do short business trips abroad. 
• Full/part-time job: Depending on what you prefer the position is full-time (40) or part-time (32 hours a week) 
• Next steps: Apply easily by completing the online application form. Interviews are held online or in the office. Once it’s clear we’re a good match, we’ll make you an offer – and look forward to welcoming you to the company.

Additional Information

We are more than happy to answer your questions about the position of Data Science Engineer. Please contact Tim Gouweleeuw, Recruiter via tim.gouweleeuw@boskalis.com.

Disclaimer for recruitment and selection agencies

We don’t accept any unsolicited applications or CVs from recruitment and selection agencies. In general, we don’t appreciate acquisition and this also applies to Boskalis colleagues or associated Boskalis companies.
 

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