- Salary
- £36k+
- Location
- Edinburgh
- Type
- Full-time
- Source
- Pinpoint
Description
Edinburgh AI & Data Graduate Programme 2027 - 2028
Department: Consulting UK
Employment Type: Permanent - Full Time
Location: Edinburgh
Compensation: £36,400 per year, plus a £7,200 signing bonus
Description
- Work across a variety of industries on meaningful, high-impact client projects.
- Facilitate discovery workshops to shape AI and data solutions responsibly.
- Use advanced analytics and AI to create insights from complex datasets.
- Design and build data products, AI solutions and agentic workflows that improve processes, decision-making and optimise business operations.
- Present your insights through compelling visualisations and storytelling.
- Support the definition of AI & Data strategies for industry-leading businesses.
- Be part of a thriving early careers community, with continuous learning and development opportunities designed to help you grow, build confidence and succeed throughout your career journey.
We’re proud to be one of the World’s Best Workplaces™, with a culture built on care, inclusion and shared success. You’ll work with diverse teams, grow quickly, and be supported every step of the way. Whether it’s embedding data culture, advancing responsible AI, or designing agentic workflows - we’re committed to doing business the right way, for people and the planet.
- 30 days of vacation per year, plus bank holidays.
- Three days leave per year for volunteering or charitable work of your choice.
- Pension plan with matched contributions from Accenture.
- Opportunity to buy Accenture shares at a 15% discount through the Employee Share Purchase Plan.
- Elective private medical insurance (extend cover to family, including online GP appointments and self-referral physiotherapy treatments).
- Free eye tests and annual flu jabs.
- Life assurance.
- Access to app-based fitness classes and discounts on gyms.
- Apps and tools to reduce stress, improve sleep, manage personal finances, and get caregiving support.
- Enhanced maternity paid leave entitlement for eligible people, and shared parental leave and adoption leave.
- Confidential Employee Assistance Programme for guidance on challenges like anxiety, depression, grief, relationship issues, or legal and financial concerns.
- Giving your career the best possible start by joining an award-winning graduate programme at one of the world’s largest consulting and technology firms.
📚 What you’ll learn
- Develop core consulting skills including foundational knowledge and application of AI through completion of our award-winning Analyst "Runway" training programme, giving you the confidence and capabilities to succeed as your career evolves.
- Specialised training in AI, machine learning, cloud platforms, and data visualisation.
- Certifications and development through hands-on projects, hackathons and more.
- Exposure and access to cutting-edge tools and technology as well as how leading organisations embed AI into ways of working and decision-making.
To be eligible for this programme, you’ll need to have obtained or be on track to achieve a bachelor’s degree (or higher) from an accredited university by your start date.
- Mathematics, Data Science, Engineering, Physics, Chemistry, and other scientific disciplines.
- Economics, Social Sciences, Business, Humanities, and other fields that have helped you develop analytical, quantitative, or AI skills.
- Have strong analytical and problem-solving skills.
- Are confident handling large and unstructured datasets.
- Structure ideas and communicate insights clearly.
- Adapt well to change and thrive in fast-paced environments.
- Demonstrate initiative, curiosity, passion for learning, resilience, and collaboration.
- Bring a learning mindset, actively seek feedback and use it to adapt and improve.
- Have some experience using analytical tools (such as Python, SQL, Power BI, Excel).
🌱 Your development path
- Vaishnavi joined the programme in 2026 and is now building agentic AI systems and multi-agent workflows for a global pharmaceutical client, supporting oncology R&D sprint planning and developing guardrails to improve AI output quality and reliability.
- Ben joined the programme in 2025 and has since progressed across multiple data-focused roles at a major government client, running business discovery workshops, evaluating AI vendors for large-scale data migration, and owning an assessment of a complex legacy data warehouse alongside third-party partners. He is also contributing to Accenture's partnership with The Royal & Ancient, one of the world's most iconic sporting organisations.
- Taimur joined the programme in 2022 and is now a Consultant owning end-to-end delivery of critical dashboards for a major aerospace client, driving approximately £3.5 million in annual savings through improved insight and automation, and building AI-powered reporting tools used by senior Accenture leadership.
We don’t post application deadlines as we will close the application window once we receive enough applications, so apply promptly to avoid disappointment.
- Interviews typically begin in October and run through to the New Year. Due to high volume of applications, this may take some time, but you will receive regular updates on your application status.
- Start dates available from September 2027 through to August 2028 and are filled on a first-come, first-served basis, subject to availability.
🔗 How to Apply
Step 1: Complete the Discovery Portal
- This is our online assessment designed to evaluate your strengths and skills.
- It also gives you a feel for what it’s like to work at Accenture.
- You’ll receive a personal feedback report - whether you pass or not.
If you pass the assessment, you’ll be invited to interview with us. These typically include:
- One interview with a recruiter
- One interview with a manager from the business area you applied to
- Visit our Assessments Portal for more details on what to expect at each stage.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.