Overview
Are you curious to discover what it takes to develop the next generation of technology that will be powering trucks and buses around the world?
Are you passionate about pushing the boundaries of technology and improving the way the world works?
This paid 12-month internship provides an opportunity to be embedded in an R&D team working at the forefront of vehicle connectivity technology. The fast-paced nature of the work provides the possibility to be handed meaningful responsibility within a short period of time and a potential route to enter the graduate engineering scheme upon successful completion.
Responsibilities and Activities
Interning students will have the opportunity to get involved in a broad selection of work potentially including:
- Gain experience prepping data / pipelines, applying data science models, machine learning etc. on real world datasets.
- Work with vehicle telematics data from 100k’s vehicles worldwide including high-frequency, high-volume data ideal for research and innovation.
- Support projects by preparing data and developing telematics-based solutions.
- Select a project to own and deliver independently, support to be provided when required.
- Engage team members internationally in the US and across engineering disciplines.
- Learn to report out the progress of your work in regular SCRUMs and project meetings.
- Research brand new topics and technologies, develop a value hypothesis and articulate its significance to Allison and our end-markets.
- Deliver end of project presentations recommending next steps for subsequent work.
Requirements:
Candidate should ideally be approaching the last year of their degree in a relevant discipline (e.g. Data Science, Mathematics, Statistics, Engineering, Physics, Computer Science).
Must have experience with Python and familiarity with: Pandas, Matplotlib, Seaborn, Scikit-learn Tensorflow / Keras / Pytorch, SQL, Azure / AWS, Power BI, Git & Using statistical and machine learning models with large datasets.
Nice to have: Pyspark & Databricks.
Candidates must be eligible to work in the UK.