Data Scientist / Software Engineer
| Job Type | Contract |
| Location | Oxford |
| Area | Oxfordshire, England |
| Sector | Software |
| Salary | £35000 - £45000 per annum |
| Currency | GBP |
| Start Date | ASAP |
| Advertiser | Kristian Reed |
| Job Ref | 46925KRB |
| Job Views | 215 |
- Description
Data Scientist / Software Engineer – Data-Driven Innovation in Infrastructure
A pioneering technology company is looking for a Data Scientist / Software Engineer to develop advanced analytical solutions for real-world engineering challenges. This role is perfect for someone passionate about using programming, data science, and cutting-edge algorithms to improve infrastructure monitoring and decision-making.
The Role:
This position involves designing and implementing data processing techniques for complex datasets, integrating various sources of remote sensing information. The successful candidate will play a key role in developing computational tools that extract meaningful insights, ultimately supporting critical projects in the transport and construction sectors.
Key Responsibilities:
- Develop algorithms to process and analyze complex geospatial and sensor data.
- Work with large-scale datasets to drive insights and support machine learning applications.
- Improve internal software tools using Python and other relevant technologies.
- Collaborate with a team of scientists and engineers to solve industry-specific problems.
- Present research findings and contribute to ongoing technical discussions.
Ideal Candidate:
- Strong programming skills, particularly in Python.
- Background in data science, mathematics, engineering, or a related field.
- Experience with signal, image processing & data science techniques.
- Interest in applying computational techniques to real-world infrastructure challenges.
This is an exciting opportunity to join a team at the forefront of data-driven engineering solutions. If you thrive on solving complex problems and want to apply your expertise to meaningful, high-impact work, this could be the perfect next step in your career.
