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Data Science & Machine Learning Engineering Consultant – Strategy & Consulting

Job in 1000, Amsterdam, North Holland, Netherlands
Listing for: 3900 Accenture B.V. Company
Full Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Engineering, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 90000 - 130000 EUR Yearly EUR 90000.00 130000.00 YEAR
Job Description & How to Apply Below

The work If you’re looking for an exciting career working in a vibrant environment where you will be supported by a global network of experts, this could be the role for you! As a Data Science & Machine Learning Engineering Consultant, you will be in our AI & Data team, which is part of the Strategy & Consulting practice. You will work directly with our clients in the Netherlands and sometimes also abroad to advise them on their data challenges.

Your work can vary from advice on the big data platform and architecture they (need to) work on, to building scalable AI solutions by making use of state-of-the art technologies. As part of your day to day activities, you will be working with the largest big data vendors in the world and the top clients in the Netherlands and abroad.

People:
  • Partner with clients to identify the most suitable data solutions and understand their specific needs to define solution architecture designs.
  • Build long-term relationships with key stakeholders, ensuring effective communication and alignment of objectives.
  • Collaborate closely with clients to define solution architecture designs that meet their business requirements.
Processes:
  • Analyze large, complex datasets and prepare them for various data science use cases, ensuring data quality and relevance.
  • Develop scalable data pipelines and machine learning solutions, optimizing data flow, and ensuring efficient processing.
  • Drive the productionization of machine learning models in cloud environments, following established best practices.
  • Build GenAI-powered applications or intelligent AI agents that support decision-making or automate processes.
Technology and Data:
  • Design and build scalable data pipelines and machine learning solutions using appropriate technologies and frameworks.
  • Apply a diverse array of machine learning techniques to extract insights and deliver value from data.
  • Develop production-ready code for machine learning models and ensure successful deployment and management in cloud platforms.
Who we are

In today’s world, business leaders want to reinvent rapidly and confidently to increase resilience, mitigate risk, and grow with sustainable value. That’s where Accenture Strategy & Consulting comes in. We bring together strategic visionaries, industry experts, practitioners from across every enterprise function, business intelligence professionals, change specialists, data and AI authorities, and many other specialized skills to co-create each client’s unique path to reinvention.

You will be a trusted partner to business leaders, working with a diverse team of experts to deliver successful tech-enabled transformation and new kinds of value for your clients. Join our global network of people using the latest assets, platforms and partnerships to help bring ideas to life. Accenture Applied Intelligence is driving these exciting changes across 40 industries and in more than 120 countries, covering skills that range from strategy development to data science professionalization.

Our advice is based on best practice and situational analysis and enables our clients to act with speed and confidence. Whether we are investigating complex issues or identifying new opportunities, our work always comes down to one thing: unlocking value and creating real, tangible impact. Strategy & Consulting is one of five services that make up one Accenture – the others are Operations, Technology, Song and Industry X.

#LI-EU

Here’s what you’ll need
  • Master’s degree in a quantitative field (Mathematics, Physics, Computer Science, Engineering or Econometrics, Business Analytics, or Information Management) with a specific emphasis on data.
  • 3+ years of professional experience in creating and maintaining data pipeline architectures, identify data…
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