Data Science & Machine Learning Engineering Consultant – Strategy & Consulting

Accenture the Netherlands; Amsterdam; On-site; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Flexible hours

Pension plan

Annual bonus

Health insurance

Company shares

Leave benefits

Job summary

Accenture the Netherlands is seeking a Data Science & Machine Learning Engineering Consultant to advise clients on data challenges and build scalable AI solutions within the AI & Data team of Strategy & Consulting.

You will work with major vendors and clients in the Netherlands and abroad, shaping data platforms, architectures, and productionized ML in cloud environments. Collaboration and innovation are central to the role.

Qualifications

• Master’s degree in a quantitative field (Math, Physics, CS, Engineering, Econometrics, Business Analytics, or Information Management) with a data focus.
• 3+ years of experience in creating and maintaining data pipeline architectures and building tools for data science.
• Proficiency in SQL, Python, R, ML techniques, Cloud computing (Azure, AWS, or GCP) and ML frameworks (PyTorch, TensorFlow).
• Familiar with Git, DevOps principles, command line, Spark, Docker and API frameworks.
• Proven affinity with data and strong analytical and problem-solving skills.
• Good communication skills and ability to translate business requirements into data solutions.
• Excellent stakeholder management skills.

Responsibilities

• Identify the most suitable data solutions with clients and define solution architecture designs.
• Build long-term relationships with stakeholders and ensure alignment of objectives.
• Collaborate with clients to define architectures that meet business requirements.
• Analyze large datasets and prepare them for data science use cases.
• Develop scalable data pipelines and ML solutions, optimizing data flow.
• Drive productionization of ML models in cloud environments.
• Build GenAI-powered apps to support decision-making or automate processes.

Skills

SQL

Python

R

ML techniques

Cloud platforms

ML frameworks

Git

DevOps

Spark

Docker

APIs

Education

Master's degree in quantitative field

Tools

Git

Docker

Spark

APIs

Job description

The work

If you’re looking for an exciting career working in a vibrant environment where you will be supported by a global network of experts, this could be the role for you!

If you’re looking for an exciting career working in a vibrant environment where you will be supported by a global network of experts, this could be the role for you! As a Data Science & Machine Learning Engineering Consultant, you will be in our AI & Data team, which is part of the Strategy & Consulting practice. You will work directly with our clients in the Netherlands and sometimes also abroad to advise them on their data challenges. Your work can vary from advice on the big data platform and architecture they (need to) work on, to building scalable AI solutions by making use of state‑of‑the‑art technologies. As part of your day to day activities, you will be working with the largest big data vendors in the world and the top clients in the Netherlands and abroad.

People

• Partner with clients to identify the most suitable data solutions and understand their specific needs to define solution architecture designs.
• Build long‑term relationships with key stakeholders, ensuring effective communication and alignment of objectives.
• Collaborate closely with clients to define solution architecture designs that meet their business requirements.

Processes

• Analyze large, complex datasets and prepare them for various data science use cases, ensuring data quality and relevance.
• Develop scalable data pipelines and machine learning solutions, optimizing data flow, and ensuring efficient processing.
• Drive the productionization of machine learning models in cloud environments, following established best practices.
• Build GenAI‑powered applications or intelligent AI agents that support decision‑making or automate processes.

Technology and Data

• Design and build scalable data pipelines and machine learning solutions using appropriate technologies and frameworks.
• Apply a diverse array of machine learning techniques to extract insights and deliver value from data.
• Develop production‑ready code for machine learning models and ensure successful deployment and management in cloud platforms.

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.

Who We Are

In today’s world, business leaders want to reinvent rapidly and confidently to increase resilience, mitigate risk, and grow with sustainable value. That’s where Accenture Strategy & Consulting comes in. We bring together strategic visionaries, industry experts, practitioners from across every enterprise function, business intelligence professionals, change specialists, data and AI authorities, and many other specialized skills to co‑create each client’s unique path to reinvention. You will be a trusted partner to business leaders, working with a diverse team of experts to deliver successful tech‑enabled transformation and new kinds of value for your clients. Join our global network of people using the latest assets, platforms and partnerships to help bring ideas to life.

Accenture Applied Intelligence is driving these exciting changes across 40 industries and in more than 120 countries, 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.

Strategy & Consulting is one of five services that make up one Accenture – the others are Operations, Technology, Song and Industry X.

Here’s What You’ll Need

• Master’s degree in a quantitative field (Mathematics, Physics, Computer Science, Engineering or Econometrics, Business Analytics, or Information Management) with a specific emphasis on data.
• 3+ years of professional experience in creating and maintaining data pipeline architectures, identify data related process improvements and build tools that enable data science activities.
• You know your way around relevant programming languages (SQL, Python, R, etc.), Machine Learning techniques (Neural Networks, Random Forest, etc.), Cloud computing (Azure, AWS, or GCP) and ML frameworks (PyTorch, Tenserflow, etc.).
• Familiar with Git, DevOps principles, command line, Spark, Docker and API frameworks
• You have proven affinity with data.
• You have strong analytical and problem‑solving skills.
• You have good communication skills.
• You can translate business requirements into data solutions.
• You have excellent stakeholder management skills.

Practical information

To consider your application, please submit your CV along with a motivation letter. You can upload all of these documents under the CV section.

What’s in it for you?

• Work with flexibility, in a culture based on trust.
• Embrace a sustainable growth mindset.
• Live a human‑led culture of Inclusion & Diversity by caring deeply for all our people.
• Lead and transform our clients with technology.
• Connect with our global network of 700.000 colleagues.

These promises are reflected through our excellent employee benefits, including:

• Flexible working hours (4x9) & work location
• Paid leave: Parental leave, Partner leave for all non‑birthing parents, Bereavement leave, and Gender affirmation leave.
• Paid transport (budget for electric bicycle or car, NS‑Business card)
• Pension scheme, Accenture shares, annual bonus, collective health insurance scheme
• Social activities like Friday Drinks, sport events and parties

What We Believe

Accenture is an equal opportunity employer. Our leaders are committed to building a better, stronger and more equitable company for future generations to create positive, long‑lasting change. Inclusion and diversity are fundamental to our culture and core values. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities.

Our position as partner to many of the world’s leading businesses, organizations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed it into everything we do and for everyone we work with.

Accenture is committed to providing equal employment opportunities for all.