The Engineering arm Aqualife Services Ltd is excited to offer the position of Trainee Data Scientist to a candidate who has a passion for coding, artificial intelligence and machine learning.
This is an exciting opportunity to simultaneously get into the world of work for an innovative, exciting company, earn salary, and gain a fully funded BSc degree in Data Science.
Based in Stirling, you’ll get to work on real projects from day 1, helping to develop the intelligence behind Aqualife’s disrupting fish farm management and fish vaccination technology, all while studying for a BSc degree at Stirling University.
Full-time (35 Hours)
£17,000 per year
The successful candidate will be offered employment with Aqualife Services Ltd on the basis that they have successfully been accepted onto the Data Science Graduate Apprenticeship with Stirling University.
Applicants are to email CV and covering letter to Kristian Clezy (Head of Engineering) at:
What will I learn?
You will complete both off-the-job and on-the-job training. You will study for a bachelor’s degree (Hons) with modules such as:
Computing Science and Data Science
Data Systems Development, modelling and Integration
Programming in Python, MySQL, MongoDB, R and R Studio, Java and MiniTab
Machine Learning, Artificial Intelligence and Computer Vision
Research and Development of prototype Data Solutions for Aqualife’s new Fish Farm Management Systems
Through a series of university taught modules and industrial experience we will prepare you as the new addition to Aqualife’s Engineering team.
What qualification or qualities are required?
You’ll have a head start in this vacancy if you’ve completed a Foundation Apprenticeship in a related field. We’ll need you to provide evidence of your qualification and show you gained the relevant skills from your placement
Any of the following will be considered for entry to the programme:
BBB at SQA Higher or equivalent qualifications (to include Computing Science or Mathematics)
Relevant Foundation Apprenticeship and 2 Highers (to include Computing Science or Mathematics)
Relevant Modern Apprenticeship (SCQF Level 6)
Applicants with non-standard qualifications including SVQs/NVQs and access programmes will be considered on an individual basis.
Applicants with work experience and/or professional qualifications can be considered through Recognition of Prior Learning. This is the process for recognising learning that has its source in experience and/or previous formal, non-formal and learning contexts.
Where there is no evidence of competency in mathematics either in a formal or informal context, candidates will be required to undertake a short test. This can be administered by the University or the Graduate Apprentice employer.
Applicants must also be:
Living and working in Scotland
At least 16 years old
Working for an employer based in Scotland in an area related to one of the programmes recommended by the employer