Data Scientist – QuantumBlack, AI by McKinsey

NLP PEOPLE; Paris; Sur place; EUR 50 000 - 70 000; Plein temps

Résumé du poste

A leading company is looking for a Data Scientist in Paris to work on impactful analytics projects across various industries. The role involves collaborating with diverse teams and applying machine learning to solve real-world problems, requiring strong programming skills and effective communication in both English and French.

Qualifications

• 0+ years of professional experience applying machine learning and data mining.
• Programming experience in R and/or Python is required.
• Willingness to travel is expected.

Responsabilités

• Partner with clients to build impactful analytics solutions.
• Implement machine learning and statistical models.
• Guide companies through data science solutions.

Connaissances

Machine Learning

Data Mining

Statistical Analysis

Analytical Aptitude

Effective Communication

Formation

Bachelor’s, master's, or PhD in computer science, machine learning, statistics, mathematics, engineering, or AI

Description du poste

Your Growth Only at McKinsey

Work on real-world, high-impact projects across a variety of industries – identify micro patterns in data that our clients can exploit to maintain their competitive advantage and watch your technical solutions transform their day-to-day business.

Experience the best environment to grow as a technologist and a leader – develop a sought-after perspective connecting technology and business value by working on real-life problems across various industries and technical challenges to serve our clients' changing needs.

Be surrounded by inspiring individuals as part of diverse, multidisciplinary teams – develop a holistic perspective of AI by partnering with top design, technical, and business talent worldwide.

Our Tech Stack

While we advocate for using the right tech for the right task, we often leverage technologies such as Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our open-source data pipelining framework Kedro, Dask/RAPIDS, container technologies like Docker and Kubernetes, and cloud solutions including AWS, GCP, and Azure.

Your Impact

As a Data Scientist in the Paris office, you will collaborate with data scientists, data engineers, machine learning engineers, designers, and project managers on interdisciplinary projects, using math, stats, and machine learning to derive insights from raw data across various industries.

You will be a highly collaborative individual capable of setting aside personal agendas, listening and learning from colleagues, challenging thoughtfully, and prioritizing impact.

You will seek ways to improve processes, work collaboratively, and embrace iterative change—experimenting with new approaches, learning, and moving forward quickly.

Role responsibilities:

• Partner with clients—from data owners to C-level executives—to understand needs and build impactful analytics solutions.
• Contribute to problem-solving sessions and deliver presentations to colleagues and clients.
• Translate business problems into analytical models and evaluate them with relevant metrics.
• Write optimized code to enhance our Data Science Toolbox.
• Implement machine learning, statistical models, Generative AI, and LLM use cases.
• Contribute to R&D projects and share insights at conferences like NIPS and ICML.
• Guide companies through data science solutions to transform their businesses across industries such as healthcare, automotive, energy, and sports.

Your qualifications and skills

• Bachelor’s, master’s, or PhD in computer science, machine learning, statistics, mathematics, engineering, or AI.
• 0+ years of professional experience applying machine learning and data mining to real problems with large datasets.
• Programming experience in R and/or Python (must), with PySpark/PyData experience desirable.
• Ability to prototype and apply statistical analysis and modeling algorithms.
• Ability to own and drive model development independently, balancing demands and deadlines.
• Effective communication skills in English and French, both verbal and written.
• Strong analytical aptitude and the ability to explain complex concepts clearly.
• Willingness to travel.

Company:

McKinsey & Company

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Data Mining, France, Industry, Machine Learning, NLP