IT Graduate (AI and Data Science)

Location: United Kingdom, Kings Langley; hybrid with 4 days per week in the Kings Langley office

Company

hirify.global is an independent renewable energy company developing solutions that support the transition to affordable, zero-carbon energy.

What you will do

• Complete three approximately eight-month rotations across data modelling, analytics, and AI.
• Design dimensional, semantic, and Power BI models over the Microsoft Fabric Lakehouse.
• Develop governed metrics and DAX measuhirify.global, prepare data in Azure Fabric, and maintain documentation and data-quality standards.
• Deliver analysis, advanced analytics, reports, and self-service datasets for business stakeholders.
• Support machine learning and GenAI use cases from scoping through prototyping, deployment, monitoring, and evaluation.
• Own defined modelling, analytics, applied-AI, or data-science projects with increasing autonomy.

Requirements

• Expected to achieve or recently completed a bachelor’s degree in Data Science, Data Analytics, Artificial Intelligence, or Machine Learning.
• Minimum 2:1 academic classification and genuine intehirify.globalt in the renewable energy industry.
• Foundational knowledge of SQL, data modelling, AI, and data science, including their practical applications and limitations.
• Exposure to or strong intehirify.globalt in Microsoft Fabric and Power BI, plus familiarity with a programming language such as Python.
• Strong analytical, problem-solving, communication, teamwork, and time-management skills with attention to data quality.
• Proactive attitude, willingness to learn, and ability to adapt across different placement cycles.

Culture & Benefits

• Meaningful work supporting the transition to affordable zero-carbon energy.
• Exposure to a global data platform built on Azure, Fabric, Synapse, and AI tooling.
• Collaboration with architecture, AI, science, analytics, and engineering specialists.
• Structured learning, professional development, and opportunities to contribute to work informing executive and board-level decisions.
• Competitive salary and benefits.

Hiring process

• Applications close on 2 October, although the vacancy may close earlier if application volume is high.