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Geo-Information Data Scientist

Geo-Information Data Scientist

Job Title: Geo-Information Data Scientist
Contract Type: Permanent
Location: Luton
Industry:
Salary: Competitive Salary Offered
Start Date: 2018-11-20
Reference: J140270
Contact Name: Eugene McIntyre
Contact Email: emcintyre@kdcresource.com
Job Published: November 22, 2018 09:07

Job Description

Are you a Geo-Information Data Scientist looking for a progressive role in a global company? Would you have the ability to spearhead development of the machine and deep learning activities within the GI group? Can you lead the scientific development of new products and applications that use statistics, analytics and machine learning to optimise efficiency and performance?
The company is investing heavily in relevant technology and offer the opportunity to be involved in exciting project work within the space sector with scope for further progression and upskilling. KDC are working on this position that could offer you a challenging permanent position based in Luton.

Responsibilities / Duties

• Defining / developing SAR-based services and/or technology based upon user requirements
• Working with customers to establish Geo-Information based needs
• Developing prototype and proof of concept systems to demonstrate business need
• Support business development activities from initial customer requirements through to final proposal generation
• Continuous improvements to automated data handling tools
• Supporting bid activities

Qualifications / Experience

• Degree in mathematics, computer science or equivalent
• Commercial experience or advanced degree/PhD, in data science
• Strong computer literacy skills, including coding experience in Python
• Experience with machine and deep learning, particularly the development and optimisation of neural networks
• Experience of using statistical or data analytics techniques
• Interest in, and enthusiasm for, climate, environment or Earth observation science

Essential Skills

• Excellent written and oral communication skills

Desirable

• Experience of Earth observation, particularly SAR data
• Experience of deploying machine learning applications to local and cloud infrastructures
• An interest in applying data science techniques to spatial datasets
• Understanding of sound data management and adhering to corporate standards
• Computing experience of the Linux operating system
• Inventiveness and problem solving skills

Qualities

• Desire to be a team player capable of working with staff at all levels, alongside the ability to work independently
• Self-starter and effective time management, with particular skills in multitasking
• Good communicator
• Commercial awareness