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Location
Hybrid (Amsterdam, Netherlands)
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Intern
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Internship

First seen by Alion on Nov 8, 2026.

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Accenture offers data & artificial intelligence (AI) consulting services & solutions enabling clients to reinvent what's possible with AI for enterprises. Learn more.

We are looking for a thesis student for the Thesis Internship AI & Data role: AI/ML Computational Science New Associate | Early Career | Full time, to join the AI & Data practice of Accenture Song.

This practice brings AI & Data solutions to the clients in close collaboration with Design and Digital Products, Commerce, Marketing and Service. Together, we merge creativity and data-driven marketing with distinctive business consultancy.

Internship Details

  • Period: 4 – 6 months

  • Hours per week: 32 - 40

  • Location: Hybrid (ITO office, Amsterdam and work from home)

  • Start date: February 2027

THE WORK

Hi (potential) master student! As an AI & Data thesis intern, you will work at the intersection of data, AI and the customer. You will collaborate with our consultants who strategize, design, implement and optimize AI-driven solutions for our clients, bridging the gap between business needs and cutting-edge technology across industries like retail, automotive and financial services.

Our Teams

AI & Data consists of four teams. You apply to the AI & Data practice as a whole: after the first conversation, we match you with the team that best fits your profile, interests and proposed research topic.

Customer Tech

The technology and data foundation behind every customer interaction. We design and implement customer and marketing technology ecosystems (CDPs, Salesforce, Adobe, Google Cloud), make data ready for AI, connect systems end to end, and embed agentic AI into marketing and customer processes, so clients can scale AI across their customer journey.

Marketing

Data and AI driven marketing, from insight to activation. We turn customer and marketing data into insights, segments and predictive models, measure what marketing delivers (ROMI, attribution, marketing mix), and use AI for personalization, content creation and campaign optimization.

Service

AI and data across the full service and customer care journey. We redesign service operations with conversational AI, contact center automation and agent assist, use data to predict and prevent customer issues, and measure CX, loyalty and retention, so service becomes more efficient and more personal at the same time.

AI Practitioners

Strategy to adoption for AI at Accenture Song. We shape AI and data strategy and business cases, build customer-facing and internal AI solutions (LLM applications, RAG, prompt engineering, agents), evaluate quality and safety, and lead change management and enablement, so AI delivers measurable growth and experience impact.

Daily Tasks

On a daily basis, the following can be expected:

  • Write your thesis as your main priority, supported by dedicated people in our team;
  • Conduct research within the AI & Data domain of your team;
  • Explore and map AI opportunities within client workflows, from marketing and service to customer technology;
  • Design, prototype and potentially build AI solutions such as agents, LLM applications or data products;
  • Contribute to hands-on client deliverables;
  • Get the opportunity to present your results to our team and others within the organization at fixed times;
  • Together with the other interns, you'll be challenged to add value to Accenture Song by coming up with your own company-wide project;
  • Gain experience as a consultant within Accenture.

Research

We support research topics that connect to the following domains, among others:

Data & Analytics: marketing data science, predictive modeling, ROMI & business planning, web analytics, data readiness for AI.

Customer Experience & Personalization: CX measurement, AI driven personalization, customer retention & loyalty, predictive care.

Marketing Technology & Automation: martech implementation, CDP, system integrations, marketing process redesign with AI.

AI & Innovation: agentic AI and agent design, LLM applications and RAG, conversational AI, GenAI evaluation.

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