AI and Data Strategy Consultant (DS/ML Engineer)

Accenture Infrastructure and Capital Projects, LLC; Amsterdam; On-site; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Flexible working hours

Parental leave

Pension scheme

Annual bonus

Accenture shares

Health insurance

Job summary

Accenture is seeking a Data Science & Machine Learning Engineering Consultant to work with clients in the Netherlands and abroad. You will design data solutions, build scalable pipelines, and productionize ML models in cloud environments, leveraging GenAI and leading tools.

You will collaborate with a global network of experts, bridge business needs with technical design, and deliver value through data-driven insights across industries.

Qualifications

• Master’s degree in a quantitative field with emphasis on data.
• 3+ years of experience in creating and maintaining data pipeline architectures.
• Proficiency with SQL, Python, R; cloud platforms (Azure/AWS/GCP) and ML frameworks (PyTorch, TensorFlow).
• Familiar with Git, DevOps, Spark, Docker and API frameworks.
• Strong data affinity, analytical and problem-solving skills, and excellent communication.

Responsibilities

• Partner with clients to identify suitable data solutions and define architecture designs.
• Build long-term relationships with stakeholders and ensure alignment of objectives.
• Analyze large datasets, build scalable data pipelines and ML solutions, and productionize models in cloud environments.
• Develop GenAI-powered applications to support decision-making or automate processes.

Skills

Data pipeline design

Stakeholder management

Analytical thinking

Communications skills

Education

Master's degree in quantitative field

Tools

SQL

Python

R

Azure

AWS

GCP

PyTorch

TensorFlow

Git

Docker

Spark

API frameworks

Job description

Accenture is seeking a Data Science & Machine Learning Engineering Consultant to work with clients in the Netherlands and abroad. You will design data solutions, build scalable pipelines, and productionize ML models in cloud environments, leveraging GenAI and leading tools.

You will collaborate with a global network of experts, bridge business needs with technical design, and deliver value through data-driven insights across industries.