20 beste Stellen als lead machine learning in berlin, be – aktuell auf Personalsuche

Data Science Consultant - QuantumBlack, AI by McKinsey
McKinsey & Company —Berlin
- Informatik
- Azure
- Informatik
Expertise Lead Data Science (m/w/d)
Deutsche Kreditbank AG —Berlin
- Vollzeit
- Englisch
- AWS
- Machine Learning
Machine Learning Engineer - Recommendation
JD.COM INTERNATIONAL UK LTD —Berlin
- Vollzeit
- Informatik
- Englisch
- Bachelor
Direkt bewerben
2 Tage
Sr. Manager, Paid Media
Savage X —Berlin
- Vollzeit
- Hybrides Arbeiten
- Management-Erfahrung
- Marketing
- Homeoffice-Möglichkeit
Director, Business Development - CE
RxLogix Corporation —Berlin
- Vollzeit
- Homeoffice
- Vertrieb
- Kundenberatung
- Mit Reiseanteil
Direkt bewerben
Head of Performance Media
GetYourGuide —Berlin
- Hybrides Arbeiten
- SQL
- Führungserfahrung
- Kommunikationsfähigkeit
- Homeoffice-Möglichkeit
- Mitgliedschaft im Fitnessstudio
Direkt bewerben
Staff ML Research Scientist (m/f/d)
adjoe —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Informatik
- Python
Direkt bewerben
Head of AI
SKD SE —Berlin
- Vollzeit
- Künstliche Intelligenz
Applied Scientist, Amazon Music - DISCO, Music DISCO
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Informatik
- Java
Associate or Senior Editor, Nature Reviews Computing
Springer Nature —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Schreibfähigkeiten
- Forschungserfahrung
Robotics Hardware Engineer
Sensmore —Berlin
- Vollzeit
- CAD
- Master
- Montage
Direkt bewerben
Senior AI Engineer
Bluefish AI —Berlin
- Hybrides Arbeiten
- Master
- Künstliche Intelligenz
- Führungserfahrung
Robotics State Estimation Engineer
Sensmore —Berlin
- Vollzeit
- C++
- Softwareentwicklung
- Python
Direkt bewerben
(Senior) Consultant (m/w/d) - Pricing
hy Consulting Group GmbH —Berlin
- Hybrides Arbeiten
- Englisch
- Finanzwirtschaft
- Machine Learning
Senior Data Engineer on Databricks (m/w/d)
Würth IT GmbH —Berlin
- Azure
- Java
- SQL
- Flexible Arbeitszeiten
- Empfehlungsprogramm
Go-to-Market Lead (Founding GTM Hire)
Zelara.ai —Berlin
- Vollzeit
- Künstliche Intelligenz
- Marketing
Direkt bewerben
Senior Manager, Software Engineering - (Logistics, Time Estimations)
Delivery Hero —Berlin
- Vollzeit
- Hybrides Arbeiten
- AWS
- Machine Learning
- Analytik
Direkt bewerben
9 Tage
Senior Manager, Sales Development, DACH
Airwallex —Berlin
- Vollzeit
- Vertrieb
- Salesforce
- Künstliche Intelligenz
Principal Consultant-Professional Services (f/m/d)
Stackgini —Berlin
- Künstliche Intelligenz
- Verhandlungsgeschick
Data Product Manager, Dynamic Assortment - (Quick Commerce)
Delivery Hero —Berlin
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Merchandising
- SQL
Direkt bewerben

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Data Science Consultant - QuantumBlack, AI by McKinsey

McKinsey & Company -
Berlin

Jetzt bewerben

Details zur Stelle

Berufsausbildung

Qualifikationen

TensorFlow
Informatik
Azure
Informatik
Kubernetes
Google Cloud Platform
Master
Anwendungsentwicklung
SQL
AWS
Docker
Machine Learning
Künstliche Intelligenz
Wirtschaft
Kommunikationsfähigkeit
Python
Data Science
Analytik

Vollständige Stellenbeschreibung

Job ID: 100822

Berlin

Cologne

Dusseldorf

Frankfurt

Hamburg

Munich

Stuttgart

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

As a data science consultant at QuantumBlack, you will work in multi-disciplinary environments harnessing data to provide real-world impact for organizations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.

In this role, you will be responsible for working on complex and extremely varied data sets from some of the world’s largest organizations to solve real-world problems. You will develop high-quality data science products and solutions for clients as well as assets for our internal data teams, focusing on modeling and working alongside the Data Engineering team. Additionally, you will present findings, recommendations, and provide consultation to stakeholders, both internal and clients.

Throughout your tenure, you will learn to work across various industries and sectors, gaining insights into diverse business challenges and applications of data science. You will build large-scale data and analytics solutions, handling complex problems and advanced client situations. You will also learn best practices in data and analytics development, including framework, responsibility model, high-quality code, data security, sustainability, and scalability. Working in collaborative teams with diverse skill sets, you will foster effective teamwork and learn from colleagues in a multicultural and creative environment. Staying up-to-date with the latest advancements in data science tools, techniques, and technologies, as well as participating in first-class learning programs, will be a key part of your development. You will also develop strong client-facing skills, including effective communication, problem-solving, and presentation abilities.

You will work with other data scientists, data/ML engineers, designers, project managers, and business subject matter experts on interdisciplinary projects across various industry sectors to enable business ambitions with data and analytics.

In terms of who you are, you are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully, and prioritizing impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning, and improving to move forward quickly.

Our tech stack is diverse. While we advocate for using the right tools for the right task, we also take into account the client’s current landscape and preferences. Often, we use Python, PySpark, TensorFlow, PyTorch, Databricks, SQL, Docker, and Kubernetes. We also leverage our own proprietary tools such as Kedro, CausalNex, and MLRun. We work on a regular basis with cloud service providers such as AWS, GCP, and Azure.

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, all while upholding our unwavering commitment to ethics and integrity. 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

Degree in (business) maths, statistics, machine learning, data science, physics, computer science or engineering required

Up to 2 years of professional hands-on experience in applying advanced data science methods and implementing technical data solutions (e.g. develop machine learning models), in order to solve business problems

A strong grasp of various analytics landscape, including business intelligence, machine learning, AI, and generative AI, and how to apply them effectively in different scenarios

Proficiency in Python, SQL (focus on data & analytics applications)

Professional experience in cloud-based analytical tools from market-leading providers such as AWS, MS Azure, Google Cloud

Effective communication and presentation skills, particularly the ability to explain complex analytical concepts in a comprehensible manner adapted to different groups of non-technical audiences e.g. business managers, heads of products, sales & marketing leads

Master degree in data science, computer science, business informatics or equivalent is a plus

Practical experience in Generative AI application development

Proven record of advisory works

Proven record of leadership in a work setting and/or through extracurricular activities

Proficient communication skills in German and English

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.

Jetzt bewerben

Erweiterte Suche

lead machine learning Jobs in berlin, be

Data Science Consultant - QuantumBlack, AI by McKinsey

Expertise Lead Data Science (m/w/d)

Machine Learning Engineer - Recommendation

Sr. Manager, Paid Media

Director, Business Development - CE

Head of Performance Media

Staff ML Research Scientist (m/f/d)

Head of AI

Applied Scientist, Amazon Music - DISCO, Music DISCO

Associate or Senior Editor, Nature Reviews Computing

Robotics Hardware Engineer

Senior AI Engineer

Robotics State Estimation Engineer

(Senior) Consultant (m/w/d) - Pricing

Senior Data Engineer on Databricks (m/w/d)

Go-to-Market Lead (Founding GTM Hire)

Senior Manager, Software Engineering - (Logistics, Time Estimations)

Senior Manager, Sales Development, DACH

Principal Consultant-Professional Services (f/m/d)

Data Product Manager, Dynamic Assortment - (Quick Commerce)

Ich möchte aktuelle Job-E-Mails für Stellen als lead machine learning in berlin, be erhalten

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