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# Data Science Consultant - QuantumBlack, AI by McKinsey - Consulting, Datenbankentwicklung/BI, Ingenieur

- **Company:** McKinsey & Company
- **Location:** Germany
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Microsoft Azure, Cloud Computing, Python (Programming Language), Machine Learning, Cloud Services, Tensorflow, Software Engineering, SQL Databases, Technical Data Management Systems, Google Cloud, Pytorch, Generative AI, Pyspark, Kubernetes, Information Technology, Data Analytics, Docker, Databricks
- **Published:** November 9, 2026
- **Apply:** https://www.adzuna.de/details/5958956583

## About the Role

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. xvbsvpc

We work on a regular basis with cloud service providers such as AWS, GCP, and Azure.

Your background 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