Data Science & Machine Learning Engineering Analyst - Junior Consultant
Junior consultant role in Accenture's AI & Data team in the Netherlands: working directly with clients on data modeling, analysis, and ML/deep learning, plus building generative and agentic AI applications, deploying production models on cloud platforms (Azure, AWS, GCP) while translating analytics into business recommendations.
- Compensation
- Not disclosed
- Location
- Netherlands
- Work setup
- Hybrid
- Seniority
- Junior
- Employment
- Not specified
- Experience
- 0+ years
- Category
- Data science
- Posted
Skills
Must have
- Master's degree (WO) in a quantitative field (Data Science, Mathematics, Computer Science, Econometrics, Business Analytics or similar) with emphasis on data
- 0-3 years of professional experience in data analysis using statistical modeling and machine learning techniques
- Experience with programming languages such as SQL, Python, R
- Experience with Machine Learning techniques (Neural Networks, Random Forest, etc.)
- Experience with cloud computing (AWS, Azure or GCP)
- Experience with ML & Agentic AI frameworks (LangChain, LangGraph, PyTorch, TensorFlow, etc.)
- Basic experience with data visualization tools such as Power BI, Tableau, Qlik, matplotlib, seaborn
- English proficiency (Dutch is a plus)
- Excellent problem-solving skills for complex challenges
- Effective communication skills to convey insights to technical and non-technical stakeholders
Nice to have
- Hands-on experience building Generative or Agentic AI applications (e.g. LangGraph, Google ADK, or similar orchestration frameworks)
- Extracurricular activities such as student consulting clubs, board roles, or internships showcasing leadership
- Proven affinity with data and a strong analytical mindset
- Demonstrated stakeholder management and familiarity with using AI, data science, and ML to achieve business goals
Full description
Dream big, innovate smarter.
Solliciteer snel! Er wordt een groot aantal sollicitanten verwacht voor de hieronder beschreven functie, wacht niet met het versturen van uw cv.
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- Vacancy closing date: November 30th, 2026
- Job Day: November 13th, 2026 - Amsterdam, the Netherlands
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.
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- 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.