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Accenture zoekt een Data Science Analist om raw data om te zetten in bruikbare inzichten en innovatieve oplossingen bij klanten in Nederland en daarbuiten. Je werkt aan data modelling, analyses en interpretatie en past geavanceerde technieken toe zoals ML, DL, GenAI en NLP.
Het team AI & Data werkt rechtstreeks met diverse klanten en biedt kansen om impact te creëren door data-gedreven besluitvorming en geautomatiseerde processen.
Naam functie Data scientist
Soort werklocatie Vaste werklocatie
Postcode en/of plaats 1043GR AMSTERDAM
Uren per week 0 - 0 Uur per week
Soort werktijd Wisselende werktijden
Data Science & Machine Learning Engineering Analysten GB Cybersecurity Accenture Type Contract: Type: Permanent employment Locatie: Amsterdam Opleidingsniveau: Opleiding: Doctorate/PhD (EQF 8), Master (EQF 7) Gepubliceerd op: Gepubliceerd: 28/07/2026 Status: Open Reageer voor: 31/08/2026 Uur p/wk: 40 Are you passionate about transforming raw data into actionable insights and contributing to innovative solutions? Will you take on the challenge to help our clients become data-driven? Do you want to change the way organizations manage their data and do business? Are you interested in how data flows through an organization and how it is governed to generate knowledge and value? Do you enjoy working at the forefront of the latest Advanced AI developments and applying them directly to create tangible client value? If so, we invite you to explore the role of a Data Science Analyst at Accenture. 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 tr...