Junior Data Analyst

As a Junior Data Analyst, you will play a hands-on role in supporting the delivery of data, analytics and early-stage AI initiatives that help accelerate digital transformation across a wide range of global technology projects. Operating within a collaborative, agile environment, you will work alongside the AI/Data Science Specialist and Digital Solutions team to contribute to data preparation, analysis, reporting, experimentation, and the responsible exploration of AI tools and methodologies., * Support data collection, cleaning, preprocessing and validation from diverse sources

• Perform exploratory data analysis to identify trends, patterns and insights
• Contribute to early-stage machine learning experiments and feature preparation
• Explore and evaluate off-the-shelf AI tools and platforms for defined use cases
• Assist in maintaining reproducible, well-structured datasets and documentation
• Create clear data visualisations (charts, tables, dashboards) to communicate insights
• Support internal reporting, presentations and technical summariesCollaborate closely with AI/Data Science Specialists and the Digital Solutions team, * Prepare and validate data from multiple systems, sensors, APIs and files
• Check and support data quality, consistency and completeness
• Conduct exploratory analysis to support insights and experimentation
• Assist with ML pipeline, feature preparation and evaluation under guidance
• Research and document different modelling approaches and tools tested
• Maintain comprehensive, reproducible data and project documentation
• Support adherence to AI/data governance, quality standards and best practice
• Communicate findings clearly to technical and non-technical stakeholders
• Collaborate within a cross-functional team on digital projects

This is a learning-focused role suited to an analytically minded professional who is early in their data career, enjoys working directly with data and insights, and is passionate about developing practical AI and analytics experience in real-world technical contexts., * Degree (or equivalent experience) in Data Science, Computer Science, Engineering, Mathematics, Statistics or a related field

• Basic experience in data analysis and manipulation (e.g. Python, pandas, NumPy or similar)
• Experience with data visualisation tools (e.g. matplotlib, seaborn, Power BI, Tableau or equivalent)
• Understanding of fundamental ML concepts (e.g. supervised vs unsupervised learning)
• Strong analytical thinking, organisation and attention to detail
• Ability to explain complex information clearly in plain language
• Comfortable working within documentation, data management and governance standards
• Able to manage multiple tasks with well-structured data and documentation, * Practical experience of AI & data solutions, ML workflows, or model experimentation
• Handling time series, image, or tabular data
• Exposure to real-world digital and AI initiatives across IoT, cloud, and analytics
• Collaborative agile delivery and cross-functional teamwork