Data Science Consultant - QuantumBlack, AI by McKinsey

QuantumBlack, AI by McKinsey; Düsseldorf; Presencial; EUR 50.000 - 65.000; Jornada completa

Descripción de la vacante

A global consulting firm in Düsseldorf is seeking a Data Science Consultant. You will harness data for real-world impact, develop data solutions, and collaborate across multidisciplinary teams. The ideal candidate has a degree in relevant fields and up to 2 years of experience in data science. Proficiency in Python and SQL is essential, along with strong communication skills in German and English. This is a full-time, entry-level position offering a dynamic consulting environment.

Formación

• Up to 2 years of hands-on experience in data science.
• Strong grasp of business intelligence and machine learning.
• Effective communication with non-technical audiences.

Responsabilidades

• Provide real-world impact through data solutions.
• Develop high-quality data science products.
• Present findings and consult with stakeholders.

Conocimientos

Advanced data science methods

Analytics landscape understanding

Communication skills

Problem-solving skills

Presentation abilities

Proficiency in Python

Proficiency in SQL

Leadership experience

Generative AI application experience

Educación

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

Master's degree in relevant fields

Herramientas

AWS

MS Azure

Google Cloud

Descripción del empleo

Overview

Data Science Consultant - QuantumBlack, AI by McKinsey: Join to apply for the Data Science Consultant - QuantumBlack, AI by McKinsey role at QuantumBlack, AI by McKinsey.

Responsibilities

• Work in multi-disciplinary environments harnessing data to provide real-world impact for organizations globally, influencing recommendations to improve business performance.


• Handle complex and varied data sets from large organizations; develop high-quality data science products and client-facing solutions; contribute to internal data assets and work alongside Data Engineering teams.


• Present findings and provide consultation to stakeholders, both internal and client teams.


• Learn to work across industries, build large-scale data and analytics solutions, and adopt best practices in data and analytics development, including framework, responsibility model, high-quality code, data security, sustainability, and scalability.


• Collaborate with data scientists, data/ML engineers, designers, project managers, and business subject matter experts on interdisciplinary projects across industries.


• Develop strong client-facing skills, including effective communication, problem-solving, and presentation abilities.

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 applying advanced data science methods and implementing technical data solutions to solve business problems


• Strong grasp of analytics landscape including business intelligence, machine learning, AI, and generative AI, and how to apply them in different scenarios


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


• Professional experience with cloud-based analytical tools from providers such as AWS, MS Azure, Google Cloud


• Effective communication and presentation skills, especially ability to explain complex analytical concepts to non-technical audiences


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


• Practical experience in Generative AI application development


• Proven track record of advisory work


• Proven leadership experience in work settings or extracurricular activities


• Proficient communication skills in German and English

Seniority

• Entry level

Employment type

• Full-time

Job function

• Consulting

Industries

• Business Consulting and Services