6 beste vacatures voor de functie van machine learning engineer in amsterdam (nieuwe medewerkers gezocht)

Data Scientist Intern - QuantumBlack, AI by McKinsey
McKinsey & Company —Amsterdam
- Engels
- Master
- Analytisch vermogen
6 dagen
Senior AI/ML Engineer
Optics11 —Amsterdam-Zuidoost
- Fulltime
- Hybride werken
- Master
- Machinaal leren
- AI
Snel solliciteren
Senior AI / ML Engineer (MLOps & ML Platform)
Acquism SARL —Amsterdam Centrum
- Azure
- DevOps
- SQL
Medior Data Scientist – Aviation
CGI —Amsterdam
- Hybride werken
- Azure
- Data-analyse
- Engels
- Winstdeling
- Bovenwettelijk betaald verlof
Snel solliciteren
9 dagen
Manager Data Science
RELX —Amsterdam
- € 79.000 - € 131.500 per jaar
- Fulltime
- Doctor
- Informatica
- Master
- Flexibele werkuren
14 dagen
Manager Data Science
Elsevier —Amsterdam
- € 79.000 - € 131.500 per jaar
- Fulltime
- Doctor
- Informatica
- Master
- Flexibele werkuren
14 dagen

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Data Scientist
PLUS —Utrecht Oost
Een bruto jaarsalaris tussen € 49.000 en € 70.000 (excl. vakantiegeld) op basis van 36 uur per week en op basis van je kennis en ervaring;
€ 49.000 - € 70.000 per jaar
6 dagen
Senior Data Scientist II
Elsevier —Amsterdam
You will work with complex scientific data and apply modern machine learning and LLM-based approaches to build scalable, reliable systems with real user impact.
€ 59.300 - € 98.800 per jaar
2 dagen

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Data Scientist Intern - QuantumBlack, AI by McKinsey

McKinsey & Company -
Amsterdam

Nu solliciteren

Vacaturegegevens

6 dagen geleden

Kwalificaties

NumPy
R
Engels
Master
Pandas
Analytisch vermogen
Bachelor
Communicatieve vaardigheden
Python
Tijdmanagement

Volledige vacaturetekst

Job ID: 109179

Amsterdam

Brussels

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

YOUR IMPACT

You will be part of interdisciplinary teams for 8-12 weeks, developing analytics solutions that help solve clients’ most pressing business challenges.

Working closely with experienced Data Scientists, Data Engineers, and Machine Learning Engineers, you will support project teams by conducting exploratory data analyses, building and validating simple models, implementing LLM use cases, helping clients to adopt GenAI, and developing RAG systems and visualizations that help uncover insights from complex datasets.

You’ll gain hands-on experience applying analytical thinking to real-world business contexts, learning how data-driven insights can transform organizations. Through mentorship and structured feedback, you will deepen your understanding of how to translate business problems into technical tasks, and how analytical solutions create measurable client impact.

You’ll also contribute to the team’s internal knowledge base and tool development, learning how McKinsey and QuantumBlack, AI by McKinsey approach data science at scale.

YOUR GROWTH

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS

Undergraduate degree in progress

Experience through coursework or projects in building Retrieval-Augmented Generation (RAG) systems or implementing Large Language Model (LLM) use cases is a strong plus

Strong interest in applying machine learning and statistical analysis to solve real-world problems

Foundational experience in Python (preferred) or R for data analysis and model prototyping

Basic understanding of data wrangling, visualization, and exploratory analysis

Familiarity with libraries such as pandas, NumPy, scikit-learn, or equivalent

Good analytical and problem-solving skills; ability to structure tasks and manage time effectively

Curiosity and a growth mindset—comfortable asking questions and learning new tools quickly

Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment

Willingness to travel

Team-oriented mindset and eagerness to learn from others

Strong communication skills in English, with the ability to adjust your style to suit different perspectives and seniority levels. Knowledge of Dutch or French is desirable

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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machine learning engineer vacatures in amsterdam

Data Scientist Intern - QuantumBlack, AI by McKinsey

Senior AI/ML Engineer

Senior AI / ML Engineer (MLOps & ML Platform)

Medior Data Scientist – Aviation

Manager Data Science

Manager Data Science

Discover related jobs

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van machine learning engineer in amsterdam

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