Data Apprentice

Employer description:

Advanced Infrastructure applies data engineering and data science to problems in the energy sector. We focus on building valuable datasets and web-based tools for analysis and decision making. We are a young and growing company with excellent opportunities for rapid career progression. We promote a culture of strong delegated decision making, as such our team members are what makes us successful.

Overview:

We are seeking a dynamic and motivated individual to join our team as a Data Apprentice. In this role, you will collaborate with experienced data professionals to enhance your skills in data analysis, database management, and visualisation, alongside an in depth training program. The ideal candidate should exhibit strong analytical and communication skills. As a Data Apprentice, you will contribute to real-world projects, receive mentorship, and actively participate in a collaborative team environment. This opportunity is perfect for individuals passionate about data science and eager to kickstart their career in a dynamic business setting.

Key responsibilities:

Data Processing:

• Analyse raw data for projects.
• Execute pre-processing tasks to enhance data quality.
• Optimise scripts for efficient data processing.
• Ensure smooth data ingestion processes into relevant systems.

Documentation and Research:

• Align data configurations with Confluence documentation for consistency.
• Conduct quality assurance checks to verify the accuracy and integrity of datasets.
• Actively contribute to maintaining and updating Confluence pages related to data processes.
• Engage in research tasks to enhance workflow efficiency, such as identifying optimal satellite imagery providers and Machine Learning models.

Desired skills and attributes:

Essential:

• Strong communication skills to work effectively within a team.
• Collaborative mindset to contribute and engage in research tasks.
• Willingness to learn and adapt to new technologies and methodologies.
• Strong analytical skills.

Desirable:

• Familiarity with GIS tools and technologies.
• Understanding of quality assurance principles for data.
• Experience with scripting languages such as Python, R, or similar.

Entry requirements:

• 3 GCSEs (or equivalent) at grades 4+ (A-C) in any subject
• GCSE Maths and English (or equivalents) at grades 3+ (D or above)
• Prospective apprentices must not hold an existing qualification at the same or higher level as this apprenticeship in a similar subject

You may also have a combination of qualifications and experience which demonstrate the minimum foundation needed for the programme. In this instance you could still be considered for the programme.

If you hold international equivalents of the above qualifications, at the time of your application you must be able to provide an official document that states how your international qualifications compare to the UK qualifications.

For more information please visit the UK ENIC website.

Benefits:

• Working from home
• 28 days holiday including UK public holidays
• Working with a driven & energetic global team

Future prospects:

90% of QA Apprentices secure permanent employment after finishing their apprenticeship. Additionally, there may be opportunities to undertake further apprenticeship training as many of our programs offer on-going development tracks.

Important information:

Our apprenticeships are the perfect way to gain new skills, earn while you learn, and launch yourself into an exciting future. With over 30,000 successful apprenticeship graduates, we're a top 50 training provider, dedicated to helping you succeed.

Apply now!