SUMMARY OF THE ROLE Do you want to shape the digital and data backbone of an autonomous robotics solution? And help drive a more sustainable future at sea? Then we want you on our Digital & Data team. We are looking for a Digital & Data Engineer who will play a key role in developing and scaling Jotun’s autonomous hull cleaning solution, addressing one of the maritime industry’s most pressing challenges: biofouling and fuel efficiency. About Hull Skating Solutions (HSS) Hull Skating Solutions is Jotun’s integrated robotics and digital offering for underwater hull inspection and cleaning. HSS is developed through close collaboration between Jotun, technology and robotics partners, and operates at the intersection of hardware, software, data, and maritime operations. About Jotun Jotun is a global leader in marine coatings and surface protection, with a long history of delivering disruptive innovations to the maritime industry. Building on decades of expertise in antifouling technology, HSS represents a new step forward, combining physical products with robotics and digital systems to deliver measurable operational and environmental impact. The position will preferably be based at headquarters in Sandefjord, though other locations may be considered. For internal Jotun candidates, the role can either be remote from your home country or based in Norway on a local contract. Some travel (20–30 days per year) should be expected. Main Responsibilities - Contribute to the development and maintenance of digital and data components of the Hull Skating Solutions platform, working across robotics operations, data pipelines, analytics, machine learning, and AI. - Focus on developing and applying advanced analytics and data science methods, supporting hull condition prediction and operational decision-making. - Implement and support data pipelines and services that ingest, process, and expose data from autonomous robots, sensors, inspections, and external maritime data sources. - Contribute to the use of Azure- and Snowflake-based cloud services to operationalize and expose analytics and data science methods consumed by internal tools, partner platforms, and customer-facing applications. - Work closely with robotics engineers, domain experts, and platform teams to contribute to effective integration between hardware, software, and data systems. - Participate in experimentation and prototyping of new digital capabilities, contributing to the evaluation of emerging technologies relevant to robotics, data, and AI. - Contribute to the continuous improvement of the HSS digital and data stack, including code quality, documentation, and technical best practices. WHAT WE ARE LOOKING FOR AND WHAT WE OFFER Formal Qualifications - Bachelor’s or master’s degree in data science, Computer Science, Engineering, Applied Mathematics, or a related technical field. - Good programming skills, primarily in Python; experience developing production code is an advantage. - Experience or strong interest in data science, analytics, and machine learning, applied to real-world problems. - Familiarity with data pipelines and modern data stacks, or motivation to learn technologies such as Azure, Snowflake, APIs, and cloud-based services. - Fluent in English, written and spoken. - Comfortable working cross-functionally in technical environments, collaborating with robotics, software, and domain experts. Personal competencies Hull Skating Solutions is developed as a project-driven, cross-functional initiative, operating with a high degree of autonomy within Jotun, where initiative, ownership, and the ability to work independently are essential. You will be expected to: - Take ownership and initiative for assigned tasks, and be comfortable driving work forward with support and guidance when needed - Work independently on tasks while seeking input and feedback from more experienced colleagues when needed. - Collaborate closely with a small, highly skilled team across disciplines. - Balance learning, experimentation, and delivery of production-ready solutions. This role is well suited for data scientists or data engineers early in their career who want to develop hands-on experience working with robotics, data science, and production systems in a high-autonomy environment. We offer: - Competitive compensation and benefits - Continuous learning opportunities and training activities through on-the-job training and our in-house learning Jotun Academy. - Career development opportunities across multiple disciplines and geographies - Leaders who focus on engaging and enabling their team, proven by consistently high employee feedback scores - A supportive and inclusive company culture where you can be your authentic self - A focus on having fun together through team buildings and social activities POSITION INFORMATION Company: Jotun A/S Contract type: Regular Time Type: Full time CLOSING DATE (dd.mm.yyyy): 10.05.2026 WHO WE ARE Jotun has protected property for almost a century – from iconic buildings to beautiful homes. ​As one of the world's leading paints and coatings manufacturers, we combine high quality with creativity and innovations. Jotun's global headquarters is located in Sandefjord, Norway. Here, Jotun Norway has 1000 employees working in state-of-the-art facilities covering services from local factory operations at Vindal to global product development in our new research and development centre at Sandefjord, one of Northern Europe's largest privately owned R&D centres. The administration centre for Europe and Central Asia is located in Sandefjord, together with our local Norwegian operations. We provide various career opportunities in finance and administration, IT, sales and marketing, supply chain, engineering, technical, and research and development. Jotun is committed to an ambitious growth strategy. We believe that the real value in our companies is our employees, both as individuals and as teams. We focus on providing our employees with meaningful and challenging work, rewarding them through continued learning and development driven by our values of Loyalty, Care, Respect and Boldness. Visit our Career Page to learn more about life at Jotun. Jotun’s company culture welcomes and values differences in people. Our more than 10,200 employees on all continents represent 90 nationalities, four generations and a diversity of professions, genders, abilities, ethnicities, beliefs, cultures, etc. We are committed to representing the societies we operate in, promoting equality, equity and zero-tolerance for discrimination. If you are applying for a position and require additional support in the interview process, please let us know how we can accommodate this. If you think this role is what you could do next, apply now!

Role Description We are looking for a Data Engineer to design and maintain the data pipelines, warehouses, and infrastructure that power our analytics and machine learning capabilities. Qualifications - 3+ years of data engineering experience. - Proficiency in SQL and Python. - Experience with Apache Spark, Airflow, or dbt. - Hands-on experience with cloud data warehouses. - Strong understanding of data modelling and pipeline best practices. Requirements - Design, build, and maintain ETL/ELT data pipelines. - Manage data warehouse architecture (Snowflake, BigQuery, or Redshift). - Ensure data quality, availability, and reliability. - Collaborate with data scientists and analysts on data access needs. - Implement monitoring and alerting for data pipelines.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves  While each project involves unique tasks, contributors may:  - Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare) - Create problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn) - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks) - Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction - Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility - Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency - Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations) - Incorporate big data processing scenarios requiring scalable computational approaches - Verify solutions using Python with standard data science libraries and statistical methods - Document problem statements clearly with realistic business contexts and provide verified correct answers What we look for This opportunity is a good fit for Data Science specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - 5+ years of hands-on data science experience with proven business impact - Portfolio of completed projects and publications showcasing real-world problem-solving - Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) - Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications - Expert with SQL and database operations for data manipulation and analysis - Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases) - Understanding of MLOps practices and model deployment workflows - Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain) - Strong written English (C1+). How it works  Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations  For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.  Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves  While each project involves unique tasks, contributors may:  - Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare) - Create problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn) - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks) - Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction - Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility - Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency - Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations) - Incorporate big data processing scenarios requiring scalable computational approaches - Verify solutions using Python with standard data science libraries and statistical methods - Document problem statements clearly with realistic business contexts and provide verified correct answers What we look for This opportunity is a good fit for Data Science specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - 5+ years of hands-on data science experience with proven business impact - Portfolio of completed projects and publications showcasing real-world problem-solving - Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) - Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications - Expert with SQL and database operations for data manipulation and analysis - Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases) - Understanding of MLOps practices and model deployment workflows - Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain) - Strong written English (C1+). How it works  Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations  For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.  Compensation On this project, contributors can earn up to $90 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.