DESCRIPTION:

Are you a data scientist with a passion for AI and machine learning? Do you want to work on groundbreaking projects that shape the future of environmental management and data engineering? At Stantec in the Netherlands, you’ll have the opportunity to use your skills for innovative solutions that make a real impact on the world around us. All from a sustainability perspective to improve our living environment, accelerate the energy transition, and reduce societal costs.
At Stantec, we combine cutting-edge technologies with in-depth knowledge of environmental management to fully relieve our clients. With the Soil Risk Map, we quickly, affordably, and pragmatically provide advice on underground risks such as soil contamination, groundwater, unexploded ordnances, ecological and archaeological values. And that’s just the beginning. We have ambitious plans to let AI/ML play a central part in our big data product landscape.
As a Data Scientist, you are the driving force behind designing, developing, and implementing AI and machine learning models. You work on improving our products using advanced algorithms and big data technologies, such as Azure Databricks and Azure Data Factory. Our goal? Enable self-service data access, apply both predictive and generative AI and ensure the business can make faster and better decisions.
At Stantec, you have the freedom to experiment and work with the latest technologies. You design and build CI/CD-based ETL pipelines within our Azure Landing Zones and closely collaborate with the business to translate their needs into data solutions they can independently manage and use. With your passion for AI/ML and automation, you are a pioneer in creating pipelines that not only integrate and transform data but also open the door to innovation and autonomy for our users.
The multicultural team you’ll be joining combines expertise in (geo) data engineering, software development, automated testing, UI/UX design, and environmental management. As a dev team, we meet at least once a week at the Delft office for planning, retro, and refinement. A joint lunch outing is more the rule than the exception. We also periodically visit our other locations in the Netherlands.
Our way of working is scrum infused with agile principles. We primarily focus on developing and delivering long-term solutions that solve problems for an entire industry or market. Currently, we’re focused on accelerating the energy transition, automated ETL processes, and smarter data analyses using the latest techniques. We see this way of working as a perfect fit to maintain and increase engagement with customers, the organization, and team members. As a team, we set clear goals and results, giving the development team the freedom to decide how best to achieve them.

What will you be doing?

• Develop and implement AI and Machine Learning models, including supervised and unsupervised learning algorithms, to enhance the Stantec Soil Risk Map and other product initiatives.
• Utilize big data technologies such as Hadoop, Spark, and NoSQL databases to manage and analyze large datasets.
• Collaborate with a scrum team to achieve project goals and meet OKRs, employing agile methodologies and continuous integration/continuous deployment (CI/CD) practices.
• Serve as the sole expert on AI/ML within the team, demonstrating a high level of self-reliance and autonomy in decision-making.
• Educate and mentor other developers on AI/ML concepts and techniques, including neural networks, deep learning, and natural language processing (NLP).
• Communicate complex AI/ML concepts to stakeholders in simple and understandable terms, ensuring alignment with business objectives and technical feasibility.

What are we offering:

• Projects that truly impact people and society.
• A meaningful career with learning and development opportunities.
• A good salary, a year-end bonus, and a personal choice budget.
• 28 vacation days, with the possibility to buy or sell leave days.
• Working from home arrangement with a monthly internet allowance.
• Flexible working with various green mobility options.

QUALIFICATIONS:

• Proven experience in AI and Machine Learning, with expertise in algorithms such as regression, classification, clustering, and reinforcement learning.
• Strong background in big data technologies, including experience with data preprocessing, feature engineering, and model evaluation.
• Proficiency in programming languages such as Python and SQL, as well as frameworks like TensorFlow, PyTorch, and Scikit-learn.
• A good command of the English language in both spoken and written forms. Proficiency in Dutch is valued.
• It is not mandatory, but a plus when you have experience in / knowledge of version control tools (GIT is preferred), geographic information systems (GIS), and tools like FME, ArcGIS en QGIS.
• Additionally, we are looking for someone who does not hesitate to test hypotheses without knowing the outcomes, enjoys proactively sharing ideas, and gets energized by working in a team.

• Develop and implement AI and Machine Learning models, including supervised and unsupervised learning algorithms, to enhance the Stantec Soil Risk Map and other product initiatives.
• Utilize big data technologies such as Hadoop, Spark, and NoSQL databases to manage and analyze large datasets.
• Collaborate with a scrum team to achieve project goals and meet OKRs, employing agile methodologies and continuous integration/continuous deployment (CI/CD) practices.
• Serve as the sole expert on AI/ML within the team, demonstrating a high level of self-reliance and autonomy in decision-making.
• Educate and mentor other developers on AI/ML concepts and techniques, including neural networks, deep learning, and natural language processing (NLP).
• Communicate complex AI/ML concepts to stakeholders in simple and understandable terms, ensuring alignment with business objectives and technical feasibility