Data Scientist

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.