Machine Learning Engineer/Data Scientist (KTP Associate)

Job Summary

This is an exciting opportunity for an ambitious Data Scientist to fast-track their career development as a Knowledge Transfer Partnership (KTP) Associate, utilising skills in Data Science with a specific focus on Exploratory Data Analysis (DEA), Machine Learning, Deep Learning, and relevant skills.

You will undertake a 24-month collaborative project between Aquaterra aquaterra.co.uk and Robert Gordon University (School of Computing), jointly funded by Innovate UK and and Aquaterra. The post will be based at the company’s offices in Kintore, Aberdeen.

As a Data Scientist, your responsibility will be to gather and analyse vast volumes of complex inspection data from various sources, ensuring its quality, consistency, and relevance for further use in machine learning algorithms. You will collaborate closely with domain experts and data engineers at the company to understand the specific requirements of inspections tasks and inspection data, and utilise your expertise in data manipulation and transformation to optimize data for accurate model training.

AquaTerra is a multi-disciplined, work at height construction, inspection, repair and maintenance partner that can deliver a vast range of elements of your project safely, reliably and resourcefully. That specializes in providing innovative and sustainable offshore solutions for the energy, marine, and environmental sectors. With a strong emphasis on engineering excellence and environmental responsibility, AquaTerra offers is known for its ability to create bespoke solutions tailored to the unique challenges of each project, utilizing cutting-edge technology and a deep understanding of offshore environments. Through their commitment to safety, efficiency, and environmental stewardship, AquaTerra continues to be a leading player in advancing the offshore industry towards a more sustainable future.

You will receive extensive practical and formal training, gain marketable skills, broaden your knowledge and expertise within an industrially relevant project, and gain valuable experience from industrial and academic mentors. You will also benefit from a Personal Development Budget of £4,000.

Salary Range: £30,000- £37,500, plus £4,000 training budget.

Position Type: Full Time, Fixed Term 2 years.

Hours: 8 hours per day, on an indicative basis of 08:00 – 17:00 each day.

Annual Leave: 28 days paid annual leave each year including public or local holidays.

Informal enquires may be sent to: Professor Eyad Elyan at e.elyan@rgu.ac.uk and Martin Longmuir at martin.longmuir@aquaterra.co.uk