Data Scientist (all genders welcome)

Rosenxtdata, and delivering measurable value through classical and machine learning methods. To strengthen our team at our location in Wietmarschen-Lohne, Bristol or Enschede with flexible working time models and the option of home office we are looking for a# Data Scientist (all genders welcome) In this role, you'll work on cutting-edge technology that makes a real-world impact - initially developing data science and machine learning solutions within the Water Line Integrity Solutions group.This group focuses on developing advanced technologies for the inspection and assurance of water pipeline integrity. In doing so, we contribute to the better use of limited water resources, supporting sustainability and environmental protection. Our state-of-the-art inspection devices autonomously travel through water pipelines, gathering extensive data, including video and ultrasound data. To evaluate this data, we develop cloud-based software solutions that utilize classic signal processing algorithms, computer vision, and machine learning. In our interdisciplinary, agile, and autonomous teams, we foster innovations that create both business and ecological value.# What you can expect Translate business and product goals into well-defined data science and machine learning problems, identifying where data-driven approaches can generate the most value Conduct rigorous data analysis and experimentation, identifying patterns, quantifying uncertainty, and adapting strategies based on findings Design, develop, and validate machine learning models and analytical workflows, advancing solutions from research to production Define success metrics and key performance indicators in collaboration with stakeholders, ensuring solutions deliver measurable business impact Produce clear documentation, visualisations, reports, and dashboards for both technical and non-technical audiences Validate data quality, recommend improvements to data collection processes, and identify risks including model bias, drift, and fairness concerns. Stay current with advances in statistical and machine learning methods, tools, and industry best practices, assessing their applicability to our goals.# What you bring To become part of the Rosenxt family, you have creative, self-reliant, collaborative skills and want to help the team do its best work. Moreover you should bring with you: Proven experience designing experiments, building models, and delivering data science solutions in production Solid understanding of supervised and unsupervised learning algorithms, statistics, and linear algebra Hands-on experience applying ML and statistical methods to complex real-world data (e.g. sensor data, time series, signal recordings) Strong proficiency with Python and core data science libraries (e.g. PyTorch, scikit-learn, pandas, numpy), or strong experience in other languages and a willingness to learn Python Practical skills in statistical analysis, data visualisation, and feature engineering Clear and comprehensive documentation of code, methods, and experiments Experience with Git, environment management (e.g. Docker, poetry, uv), and at least one major cloud platform (AWS, Azure, or GCP) Ability to implement algorithms from academic papers Experience processing ultrasound data & video data Experience with PyTorch, Py Torch Lightning, Open CV, CVAT, Docker, ROS# Look forward to Development opportunities and career opportunities in a global, innovative and long-term oriented group of companies with family character Flexible working time, working time accounts and Home Office possible An open, informal corporate culture, where we celebrate success with social events Depending on the hiring location you may also benefit from local benefitsMore information about the Rosenxt Group please click here: is seeking a skilled Data Scientist to join our team. This role is ideally suited to someone who is passionate about solving complex problems with Rosenxt is a forward-thinking technology group - we are visionary architects of progress with decades of engineering excellence.As a privately owned global partner, we look far beyond tomorrow: being committed long-term, we turn opportunities into successful ventures.Tech enthusiasts through and through, we dive deep into the latest technologies. Our expertise in various technology fields allows us to develop high-tech solutions for customers in the most challenging environments, including subsea, industrial, renewables, and the integrity of the water and energy supply.Our purpose goes beyond pure business: it is about creating progress and sustainable value - for our customers, for our partners and for society at large.