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- Aufgaben: Collaborate with diverse teams to solve real-world problems using data science.
- Arbeitgeber: Join McKinsey & Company, a leader in consulting and analytics.
- Mitarbeitervorteile: Gain exposure to cutting-edge tools and work in a creative, multicultural environment.
- Warum dieser Job: Make a real impact on global organizations while developing your skills in data science.
- Gewünschte Qualifikationen: Degree in relevant fields and up to 2 years of hands-on data science experience required.
- Andere Informationen: Proficiency in Python and SQL, plus strong communication skills in German and English.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
Who You’ll Work With
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 & analytics.
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
While we advocate for using the right tools for the right task, we also take into account 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, CuasalNex, MLRun (check out more OSS here: We work on a regular basis with cloud service providers such as AWS, GCP and Azure.
Your impact within our firm
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.
Role responsibilities
• Work on complex and extremely varied data sets from some of the world’s largest organizations to solve real world problems
• Develop high quality data science products and solutions for clients as well as assets for our internal data teams
• Focus on modelling, working alongside the Data Engineering team
• Present findings, recommendations and provide consultation to stakeholders (internal and clients)
What you’ll learn
• Work across various industries and sectors, gaining insights into diverse business challenges and applications of data science
• Build large-scale data & analytics solutions, handling complex problems and advanced client situations
• Best practices in data & analytics development including framework, responsibility model, high quality code, data security, sustainability and scalability
• Work in collaborative teams with diverse skill sets, fostering effective teamwork and learning from colleagues in a multicultural and creative environment
• Stay up-to-date with the latest advancements in data science tools, techniques, and technologies as well as first class learning programs
• Develop strong client-facing skills, including effective communication, problem-solving, and presentation abilities
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
• Proficient communication skills in German and English
• 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
Company:
McKinsey & Company
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
Tagged as: Business Intelligence , Germany , Industry , Machine Learning , NLP
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Data Science Consultant – QuantumBlack, AI by McKinsey Arbeitgeber: NLP PEOPLE
Kontaktperson:
NLP PEOPLE HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Science Consultant – QuantumBlack, AI by McKinsey
✨Tip Number 1
Familiarize yourself with the specific tools and technologies mentioned in the job description, such as Python, SQL, and cloud services like AWS or GCP. Having hands-on experience with these will not only boost your confidence but also demonstrate your readiness to tackle the challenges at QuantumBlack.
✨Tip Number 2
Showcase your collaborative skills by engaging in projects or communities that emphasize teamwork in data science. Highlight any experiences where you worked with diverse teams, as this aligns with the role's emphasis on interdisciplinary collaboration.
✨Tip Number 3
Prepare to discuss real-world applications of data science during your interactions. Think of examples where you've used data to solve complex problems, as this will resonate well with the responsibilities outlined in the job description.
✨Tip Number 4
Brush up on your communication skills, especially in explaining complex analytical concepts to non-technical audiences. Practice presenting your past projects in a clear and engaging manner, as effective communication is key to influencing stakeholders.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Science Consultant – QuantumBlack, AI by McKinsey
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Science Consultant position at QuantumBlack. Understand the responsibilities and qualifications required, and think about how your experience aligns with these.
Highlight Relevant Experience: In your CV and cover letter, emphasize your hands-on experience with data science methods, particularly in Python and SQL. Mention any projects where you developed machine learning models or worked with cloud-based analytical tools.
Showcase Collaboration Skills: Since the role emphasizes collaboration, provide examples of how you've successfully worked in teams. Highlight instances where you listened to colleagues, contributed to group discussions, or helped improve team processes.
Tailor Your Communication: Demonstrate your ability to communicate complex concepts clearly. In your application, use straightforward language to explain your technical skills and experiences, ensuring that even non-technical audiences can understand your contributions.
Wie du dich auf ein Vorstellungsgespräch bei NLP PEOPLE vorbereitest
✨Show Your Collaborative Spirit
Emphasize your ability to work in interdisciplinary teams. Share examples of past experiences where you successfully collaborated with data scientists, engineers, and business experts to achieve a common goal.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with the tech stack mentioned in the job description, especially Python, SQL, and cloud services like AWS or GCP. Highlight specific projects where you applied these tools to solve complex problems.
✨Communicate Complex Ideas Simply
Practice explaining intricate data science concepts in a way that non-technical stakeholders can understand. This will showcase your communication skills and your ability to bridge the gap between technical and business perspectives.
✨Highlight Your Problem-Solving Skills
Prepare to discuss real-world problems you've tackled using data science methods. Focus on your approach to modeling and how you worked alongside engineering teams to develop impactful solutions for clients.
