We are in search of a Data Scientist with a focus on battery technology. The atomistic modelling and instead emphasizing predictive modelling that complements experimental work. Responsibilities: Battery: - Develop and implement predictive models for battery systems, encompassing thermal behaviour, electrochemical processes, and overall performance. - Computational Analysis: Utilize computational tools to analyse large datasets, predict trends in battery performance, and optimize manufacturing processes. Collaboration: - Work closely with cross-functional teams including R&D, process engineering, and quality control to integrate computational models seamlessly into the experimental workflow. Optimization: - Identify opportunities for process optimization through computational modelling, contributing to enhanced battery efficiency, longevity, and overall performance. Validation: - Collaborate with experimental teams to validate and refine computational models based on real-world data, ensuring alignment with actual manufacturing processes. - Documentation: Maintain comprehensive documentation of models, methodologies, and findings, ensuring knowledge transfer and effective communication within the organization. Qualifications: Education: - Masters or Ph.D. degree in Engineering, Computational Science, or a related field with a focus on battery technology. Experience: - Proven experience in predictive modelling, computational analysis, and data-driven decision making within the battery manufacturing or related industry. Skills: - Proficiency in computational tools and programming languages (e.g., Python, MATLAB, etc.). - Familiarity with battery modelling software and simulation tools. - Strong analytical and problem-solving skills. - Excellent communication skills and the ability to collaborate effectively with multidisciplinary teams.