Remote ML & Data Strategy Consultant

3900 Accenture B.V. Company; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Flexible working hours

Parental leave & other paid leave

Paid transport (NS-Business card)

Pension scheme, shares, annual bonus,

Social activities like company events

Job summary

Accenture is seeking a Data Science & Machine Learning Engineering Consultant to join its AI & Data team within Strategy & Consulting. You will work with clients in the Netherlands and abroad to design data solutions, build scalable AI applications, and productionize ML models in cloud environments.

You will partner with clients to define architectures, develop data pipelines, apply ML techniques, and deliver value through GenAI-powered solutions while collaborating with experts across the

Qualifications

• Master's degree in a quantitative field with emphasis on data.
• 3+ years of professional experience in data pipeline architectures and data tooling.
• Proficient in SQL, Python, R; familiar with ML techniques and cloud platforms.
• Familiar with Git, DevOps, Spark, Docker, API frameworks; strong data affinity.
• Strong analytical, problem-solving, and communication skills; stakeholder management.

Responsibilities

• Partner with clients to identify suitable data solutions and design architectures.
• Build long-term relationships with stakeholders and align objectives.
• Analyze large datasets, develop scalable data pipelines and ML models.
• Productionize ML models in cloud environments and develop GenAI-based apps.

Skills

Programming languages (SQL, Python, R)

ML techniques (Neural Networks, Random

Education

Master's degree in quantitative field

Tools

Git

DevOps

Spark

Docker

API frameworks

PyTorch

TensorFlow

Azure

AWS

GCP

Job description

Accenture is seeking a Data Science & Machine Learning Engineering Consultant to join its AI & Data team within Strategy & Consulting. You will work with clients in the Netherlands and abroad to design data solutions, build scalable AI applications, and productionize ML models in cloud environments.

You will partner with clients to define architectures, develop data pipelines, apply ML techniques, and deliver value through GenAI-powered solutions while collaborating with experts across the