Graduate AI & Data Analyst

Role Overview

Key Responsibilities

• Support workshops with business teams to understand problems, information needs, processes and opportunities for AI or data-enabled solutions.
• Help document requirements, use cases, value hypotheses, assumptions, dependencies, data needs and success measures.
• Research relevant AI and data capabilities, good practice and market developments, presenting findings clearly.
• Assist with process mapping and improvement before technology selection.
• Assist with data exploration, profiling, cleansing, reconciliation, transformation, analysis and visualisation.
• Support SQL queries, repeatable data preparation, automated quality checks and data-product documentation.
• Produce supervised reports, dashboards and insights using agreed tools, definitions and controls.
• Help investigate data issues and document assumptions, limitations, lineage and remediation actions.
• Support approved proofs of concept, pilots, testing and user feedback under appropriate supervision.
• Assist with prompt design, data preparation, low-code solutions, testing and documentation using approved platforms.
• Help test AI outputs for accuracy, reliability, transparency, safe operation and appropriate human oversight.
• Support data cataloguing, metadata, lineage, classification, ownership, stewardship and controlled access.

Qualifications

• Bachelor's degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, Statistics, Economics, Software Engineering, Information Systems, Engineering or another relevant analytical or technology discipline.
• Or an equivalent qualification with a demonstrable interest in AI, data, analytics and technology-enabled change.

Experience and Knowledge

• Basic understanding of AI, generative AI, machine learning, data analysis, databases or statistical concepts.
• Awareness of data quality, governance, privacy, security, ethics, transparency and human-oversight considerations.
• Familiarity with spreadsheets and at least one analytical, database, visualisation, programming or low-code tool.
• Evidence of interest through study, projects, placements, volunteering, professional communities or independent learning.
• Awareness of structured problem solving, requirements gathering, agile, product or project delivery is helpful.

Abilities and Skills

• No previous full-time AI or data experience is required.
• Strong numerical, analytical and problem-solving potential.
• Clear written, verbal, data-presentation and communication skills.
• Ability to explain findings, uncertainty, limitations and technical ideas to technical and non-technical colleagues.
• Curiosity about business processes, data, technology and responsible innovation.
• Good organisation, time management and attention to detail.
• Willingness to experiment within agreed controls, test assumptions, seek feedback and follow standards.
• Integrity, professionalism and respect for confidential information.
• Ability to work collaboratively across business, AI Enablement, Data, Cyber Security, IT and the PMO.

Desirable

• University, personal or placement projects involving AI, data analysis, data engineering, databases, visualisation, software, statistics, machine learning or process improvement.
• Familiarity with SQL, Python, R, Power BI, Excel, Microsoft Fabric, Azure data services, Microsoft 365 Copilot, Azure AI, Power Platform or GitHub Copilot.
• Awareness of data catalogues, metadata, data quality, master data, responsible AI, UK GDPR or information-security concepts.
• Experience presenting analysis, prototypes or recommendations to an audience.
• Interest in certifications such as Microsoft AI-900, DP-900, PL-300, PL-900, Azure Fundamentals or relevant DataCamp pathways.

What We Offer

• Cost of living annual pay review.
• Company pension contributions up to 10% if employees contribute 5%.
• 33 days holiday including bank holidays with the ability to purchase an additional 2 weeks.
• Enhanced maternity, paternity and adoption pay.
• Referral payment of £1000 (net of tax) for successful referrals.
• Hybrid working for eligible roles.
• Development opportunities to reach your career aspirations.

Working Arrangements

• Travel between company locations may be required.
• Standby or out-of-hours support is not initially expected.

Application Process

• The graduate scheme follows a three-stage interview process.
• Candidates successful at the telephone interview stage will be invited to an Assessment Centre at the head office in Woolpit, Suffolk on Thursday 3rd December.
• This is currently the only Assessment Centre scheduled.