Industrial Placement
2 weeks ago
**About the role**
We are offering placements for 9-12 months, ideally starting July 2023.
The Digital team at Mirico develops the software needed to install, operate and manage our innovative sensor platform. This includes embedded code on the devices themselves, data & analytics platforms running in the cloud, and physics models that are effectively digital twins of the way gas behaves in the real world.
Your role will be to work alongside established analytics & software personnel, helping them implement solutions that turn sensor data into valuable insights such as detection, location and classification of gas leaks from energy infrastructure (e.g. energy production units) and distributed facilities (e.g. landfills). This is an important capability that extracts the maximum value from our technology.
Key responsibilities include:
- Creating suitable data structures & formats
- Performing data engineering inc. pre-processing and feature engineering
- Developing data pipelines to ingest data from in-field sensors into cloud environments
- Developing data visualisations and user experiences and testing these with customers
**About you**
You will be a student looking to participate in a Year in Industry placement as part of your degree course. Ideally, you will have completed 3 years of the course and looking to return to university for your final year after the placement.
Primarily, we are interested in the knowledge and skills you have gained in your degree. However, it would be great if you also have experience (for example through university projects, personal study or work placements) where you have applied data engineering, data science and/or data visualisation to solve real problems.
**What you need for the role**
- Studying for an appropriate technical degree
- Predicted grade of 2:1 or higher
- Specialism or particular interest in data science
- Knowledge of implementation in python (and potentially other languages)
- Problem-solving and critical thinking ability
- Good verbal and written communication skills
- Proficient using Microsoft Office
In addition, it would be desirable if you had:
- Knowledge of statistical methods (esp. Bayesian methods)
- Knowledge of physics (esp. environmental or atmospheric science)
- Knowledge of IoT
- Knowledge of Microsoft Azure
**What we offer**
At Mirico, we offer a salary of £21,000 plus range of additional benefits including:
- 25 days annual leave (pro rata as appropriate)
- The potential for full-time employment with us when you finish your degree
- A great team ethos and a purpose-driven company
- An attractive campus-based working environment**About the role**
We are offering placements for 9-12 months, ideally starting July 2023.
The Digital team at Mirico develops the software needed to install, operate and manage our innovative sensor platform. This includes embedded code on the devices themselves, data & analytics platforms running in the cloud, and physics models that are effectively digital twins of the way gas behaves in the real world.
Your role will be to work alongside established analytics & software personnel, helping them implement solutions that turn sensor data into valuable insights such as detection, location and classification of gas leaks from energy infrastructure (e.g. energy production units) and distributed facilities (e.g. landfills). This is an important capability that extracts the maximum value from our technology.
Key responsibilities include:
- Creating suitable data structures & formats
- Performing data engineering inc. pre-processing and feature engineering
- Developing data pipelines to ingest data from in-field sensors into cloud environments
- Developing data visualisations and user experiences and testing these with customers
**About you**
You will be a student looking to participate in a Year in Industry placement as part of your degree course. Ideally, you will have completed 3 years of the course and looking to return to university for your final year after the placement.
Primarily, we are interested in the knowledge and skills you have gained in your degree. However, it would be great if you also have experience (for example through university projects, personal study or work placements) where you have applied data engineering, data science and/or data visualisation to solve real problems.
**What you need for the role**
- Studying for an appropriate technical degree
- Predicted grade of 2:1 or higher
- Specialism or particular interest in data science
- Knowledge of implementation in python (and potentially other languages)
- Problem-solving and critical thinking ability
- Good verbal and written communication skills
- Proficient using Microsoft Office
In addition, it would be desirable if you had:
- Knowledge of statistical methods (esp. Bayesian methods)
- Knowledge of physics (esp. environmental or atmospheric science)
- Knowledge of IoT
- Knowledge of Microsoft Azure
**Job Types**: Ful
