Data Science & Machine Learning Engineering Analyst - Junior Consultant

Location: Amsterdam

Dream big, innovate smarter.

Vacancy closing date: November 30th, 2026 Job Day: November 13th, 2026 Application: To consider your application, please submit your CV along with your motivation letter and transcripts for your Bachelor's degree and Master's degree. You can upload all of these documents under the CV section.

The work

As a Data Science Analyst, you will be joining our AI & Data team. You will work directly with various clients, located in both The Netherlands and abroad, on new problem-solving solutions and methodologies, data modelling, analyses & interpretation. You apply the latest algorithms and techniques such as Machine Learning, Deep Learning, Generative and Agentic AI to create value for action. Examples include building recommender systems that increase customer loyalty, predicting risk at an individual level to better comply with rules and regulations, developing GenAI-powered applications or intelligent AI agents that support decision-making or automate processes, and creating NLP solutions (including sentiment analysis) to increase efficiency.

You have strong technical skills and are also able to facilitate workshops/interviews to bridge the gap between data analytics and business outcomes. You collaborate with cross-functional teams to address real-world business problems. You provide advice to clients by translating analytical solutions into recommendations. You help to achieve strategic goals and impact business results.

People Engage collaboratively with clients to comprehend their data-oriented challenges, deliver insights, and suggest data-driven solutions aligned with their organizational goals. Establish enduring relationships with vital stakeholders to foster long-term partnerships and facilitate seamless collaboration. Develop Proof-of-Concepts aimed at illustrating potential data science solutions to clients, showcasing the inherent value of employing data-driven methodologies.

Processes Analyze extensive and intricate datasets, performing data cleansing, preprocessing, and data transformation into formats suitable for diverse data science applications. Apply a diverse array of data science techniques, encompassing statistical modeling and machine learning algorithms, to extract insights and provide resolutions to business inquiries.

Technology and Data Collaborate closely with cloud platforms (Microsoft Azure / AWS / GCP, etc.) to deploy and manage production-ready models, ensuring both scalability and operational efficiency.

With all our roles, there is in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.

How We Reinvent

At Accenture, our teams operate within one of our core service lines— Digital Core, Industry & Enterprise, Supply Chain & Engineering, Cybersecurity, Song, Finance, Talent, Client Groups, Global Operations, Reinventions Services  —each designed to drive reinvention at scale. This role falls under Industry & Enterprise, where we combine deep industry expertise with cutting-edge Data & AI capabilities to unlock business value and accelerate transformation.

You'll work with multidisciplinary teams consisting of strategists, consultants, data scientists, AI specialists, and industry experts to solve complex challenges and build future-ready organizations. Through our global delivery network and partnerships with ecosystem leaders, we help clients create measurable impact through intelligent technologies. Our culture of shared success, continuous learning, and innovation ensures every team member contributes to and benefits from our Reinvention journey.

Accenture AI & Data is driving these exciting changes across industries, 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.

Here’s what you’ll need

Master's degree (WO) in a quantitative field (Data Science, Mathematics, Computer Science, Econometrics, Business Analytics or any other relevant studies) with specific emphasis on data.

0-3 years of professional experience in data analysis using statistical modeling and machine learning techniques to solve business questions.

Experience with relevant programming languages (SQL, Python, R, etc.), Machine Learning techniques (Neural Networks, Random Forest, etc.), Cloud computing (AWS, Azure or GCP) and ML & Agentic AI frameworks (Langchain, LangGraph, PyTorch, Tenserflow, etc.).

Basic experience with data visualization tools such as Power BI, Tableau, Qlik, matplotlib, seaborn etc.

English (Dutch proficiency is a plus)

Excellent problem-solving skills and the ability to tackle complex challenges.

Effective communication skills to convey insights to technical and non-technical stakeholders.

Bonus points if you have

Hands-on experience with building Generative or Agentic AI applications, for example using frameworks or tooling such as LangGraph, Google ADK, or similar orchestration frameworks.

Participated in extracurricular activities such as student consulting clubs, board roles, internships that showcase your leadership skills.

Proven affinity with data and a strong analytical mindset.

Demonstrated stakeholder management activities and familiarity with using AI, data science, and machine learning to achieve business goals.

What’s in it for you

Work-Life Flexibility: 4x9 Workweek Option, Hybrid Working, FlexDay

Financial Well-being: Competitive Base Salary, My

Benefits Budget, Annual Bonus, Net Allowance, Employee Share Purchase Plan

Health & Wellness: Collective Health Insurance Scheme, Mental Health Support, Well-bein