Accelerate Graduate Programme - Enterprise Data & Analytics

• August:
  London
• September:
  Manchester & Newcastle
• November:
  London

Please note, due to high volumes of applications, this role may closed earlier than advertised.

• To be eligible for this programme, you must have obtained, or be studying towards, a minimum 2:2 degree.
• If you are currently studying, you must have completed your degree prior to proposed start date.
• We recognise that mitigating circumstances can have an impact on academic performance. If you have experienced any circumstances that you would like us to take into consideration, please provide details in your application.

The Enterprise Data Analytics (EDA) pathway of the Accelerate Programme is designed for talented graduates who are passionate about data and AI. In EDA, we help clients unlock value from their data by combining data strategy, analytics, data science and AI innovation. Through our Accelerate Programme, you will develop a strong foundation in consulting while gaining hands on experience across a broad range of data and AI disciplines.

The Accelerate Programme is Capgemini Invent UK's award winning graduate development programme. Over approximately 19 to 21 months, you'll progress from Associate Consultant to Consultant through a blend of structured learning, coaching, mentoring and hands on client experience. Following an initial three week induction and a twelve week consulting training programme delivered by the Institute, you'll move into your chosen pathway, applying your skills on live client projects while benefiting from ongoing development, regular feedback and a strong graduate community.

Travel to client sites may be required, and candidates should live within reasonable commuting distance of their chosen office location.

Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business. It will be a blend of Company offices, client sites, and your home. Please note that you will be unable to work from home 100 percent of the time.

As an Associate Consultant, you will develop the skills and experience needed to become a well rounded consultant, helping clients solve complex business challenges and deliver meaningful outcomes. From day one, you will gain hands on experience on client projects, take early responsibility, and contribute to transformation programmes that drive real business value.

Alongside your project work, you will benefit from a structured learning and development programme through the Enterprise Data Analytics Academy, designed to accelerate both your professional and technical growth. You will have the opportunity to:

• Build core consulting skills in areas such as business analysis, stakeholder management, agile delivery, design thinking, storytelling, and communication
• Support clients in solving complex business, data, analytics, and AI challenges. Develop expertise in modern technologies, including AI, data visualisation, cloud platforms, automation tools, and programming languages such as Python and SQL
• Apply your skills on live client engagements, delivering innovative solutions and tangible business outcomes. Contribute to large scale transformation programmes, working collaboratively across teams and stakeholders
• Achieve industry recognised certifications and access continuous learning opportunities tailored to your interests and career goals
• Collaborate with specialist communities, contribute to thought leadership and knowledge sharing initiatives, and participate in innovation challenges and hackathons.

At Capgemini, building an inclusive future is part of everyday life and will be part of your working reality. We have built a representative and welcoming environment for everyone.

We are particularly interested to learn if you have experience or are interested in working in the industries we operate in and are keen to start a career in an environment where you can drive change.

Ideally, you will have:

• A strong interest in data, analytics, AI, and technology driven problem solving
• Experience with, or an interest in, tools and technologies such as Python, R, SQL, Power BI, Tableau, Google Analytics, Generative AI, and Large Language Models (LLMs)
• Strong analytical and logical thinking skills, with the ability to interpret business challenges and identify insights from data
• Excellent communication and teamwork skills, including the ability to…