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Scientific Software Engineer (Data Analytics)
Scientific Software Engineer, Data Analytics. (Physics, Engineering, Mathematics). Working with complex engineering data and utilising that data to solve practical problems. Programming in Matlab, Python, C# or C++ required.
Scientific Software Engineer, Data Analytics.(Physics, Engineering, Mathematics).
Working in a complex engineering environment processing data utilised to solve practical problems, your job will be to dig into that data, get more out of it and apply this information to new types of problems.
Ideal for a data scientist with an interest in physics, mathematics or engineering or vice versa. Skills in both Data manipulation and programming in Matlab, Python, C# or C++ required.
The ideal candidate will have the skills necessary to write scripts / programs to handle and process a variety of data sources and have awareness of techniques used in data science and analysis.
- Matlab, Python, C# or C++ (or equivalent language) experience
- Experience and relevant qualifications in a relevant technical field (Physics, Computer Science, Mathematics, etc), Must have experience working with data and having successfully drawn meaningful conclusions
- Must be able to communicate results to possibly non-engineering staff
In addition to the above, the ideal candidate would have at least one of the following:
- PHD level academics or equivalent in depth experience
- Experience with the .NET (C#) ecosystem
- Experience with additional languages (C/C++, Python, R)
- Knowledge of statistics or machine learning
- Experience with parallel processing / grid computing / cloud
Matchtech acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers and is part of Gattaca Plc.
Gattaca Plc provides support services to Matchtech and may assist with processing your application.