Data Science Intern

Job Title: Data Science Internship for wastewater treatment optimization  Company: Hypersoniq BV Location: Amsterdam Job Type: Internship, full time Start date: As soon as possible About Us: Our mission: improve industrial wastewater treatment through data-driven optimisation and intelligenceHypersoniq is located in Amsterdam and Delft, the Netherlands. We have a diverse and experienced team of professionals who are constantly working on advancing our innovations to achieve our mission. In addition, we leverage our research partners KWR – Water Research Institute, and Delft University of Technology to develop our technology further and validate our products.

We develop cutting-edge technology for industrial wastewater treatment where chemicals dosing is critical but hard to control through two products: Our innovative AI platform “INTANGIBLE” that uses and transforms your existing (sensor) data into a Smart Digital Operator that provides actionable insights and automated chemical dosing to save costs and ensure complianceElectrochemical sensor (under development) - a next-gen sensor based on Electrochemical Impedance Spectroscopy (EIS) for water monitoringWe are currently running our first customer pilots and will be commercially rolling out our software product “Intangible” in the upcoming months.

We are seeking a talented Data Scientist/ML-Engineer intern who will be responsible for enhancing our data processing capabilities through advanced technologies such as machine learning and Artificial Intelligence (AI).  Position Overview: Hypersoniq applies AI, machine learning, and advanced analytics to industrial challenges. Our current focus is on optimizing wastewater treatment processes, using time series sensor data, computer vision, and AI-driven control strategies to improve efficiency and reduce costs. We are looking for a skilled and motivated Bachelor or Master student to join our R&D team as a Data Science / Machine Learning Intern.

You will work with real industrial datasets and learn how to apply AI not just for prediction, but for control and decision-making in real-world environments. What You Will Work OnTime Series Data AnalysisAnalysing and visualizing multi-sensor process dataApplying statistical techniques for cleaning, filtering, smoothing, and anomaly detectionIdentifying inter-sensor correlations and detecting gradual performance changesMachine Learning & ControlApplying supervised, unsupervised, and reinforcement learning to industrial processesExperimenting with models such as regression, random forest, LSTM, XGBoost, and Q-learningExploring methods to integrate control strategies (e. g.

, RL-based control, MPC concepts) with ML modelsComputer Vision ApplicationsUsing clustering and CNN models to classify and monitor industrial camera imagesImplementing feature engineering for image-based modelsWhat You Already BringCurrently enrolled in a Bachelor’s or Master’s program in Data Science, AI, Computer Science, Applied Mathematics, Econometrics, or related fieldProficiency in Python and libraries such as Pandas, NumPy, scikit-learn, TensorFlow/Keras, and/or PyTorchExperience working in Jupyter Notebook and documenting in MarkdownSolid theoretical background in:

Common AI/ML models (supervised, unsupervised, reinforcement learning)Statistics and probability theoryAbility to work in a structured, methodical way from theory → application → validationStrong analytical thinking and willingness to work with complex, real-world datasetsWhat You Will Learn HereApplying AI to time series data in an industrial settingIntegrating control concepts (e. g.

, RL, feedback loops) into ML workflowsDesigning and validating models for real-world operational constraintsWorking with a small, multidisciplinary team in an applied R&D environmentWhy This Internship Is UniqueWork with real industrial data from sensor networks and camera systemsDirect impact — your work can improve efficiency and sustainability in wastewater treatmentMentorship from experienced data scientists and engineersSpace to explore and experiment within active R&D projectsBenefits:

Competitive startup internship compensation Opportunities for career growth and professional developmentPossibility to work flexible hours Be part of a fast-paced startup journey towards positive societal and environmental impactA collaborative work environment at a beautiful location in Amsterdam Access to cutting-edge technology and resourcesHow to Apply: If you are passionate about pushing the boundaries of our technology and working on Data Science we encourage you to apply. Please submit your resume and a short motivation (in email) with your relevant experience and why you are a great fit for this role to joris. vanaken@hypersoniqtech. com.

Hypersoniq is an equal opportunity employer. We welcome candidates from all backgrounds to apply.