FAQs
What are the key responsibilities of a Software Engineer, Modelling in Enterprise Insights?
Key responsibilities include developing and implementing algorithms for plausible modelling behavior, building pipelines to integrate data from various sources, creating tooling for model developers, optimizing model performance, and collaborating with cross-functional teams.
What qualifications and skills are required for the role?
Candidates should have a strong scientific and engineering mindset, software engineering experience, eagerness to learn model and data engineering, exposure to mathematical modeling paradigms, familiarity with Python and relevant libraries, and a pragmatic approach to project requirements.
What opportunities for growth and development are available in this role?
This role offers the opportunity to work with a multidisciplinary team, collaborate on innovative projects, learn and apply advanced modeling and data engineering techniques, and contribute to solving real-world problems. There are also opportunities to develop expertise in software design patterns and engineering best practices.
How does this role align with the overall goals of the Enterprise Insights team?
This role plays a crucial role in developing models and simulations used in digital twins, enabling users to analyze performance and test scenarios. By optimizing model performance, integrating data sources, and collaborating with cross-functional teams, the Software Engineer, Modelling contributes to the team's goal of taking modeling to the next level.
What kind of support and resources are available for Software Engineers in this role?
Software Engineers in this role have access to a collaborative and supportive environment, where they can work alongside scientists, modellers, and software engineers. There are opportunities for learning and professional development, as well as support from the team in applying model and data engineering to solve customer problems.