20 meilleures offres (data mining, paris, a8) (à pourvoir)

Data Scientist - QuantumBlack, AI by McKinsey
McKinsey & Company —Paris (75)
- Azure
- Niveau Doctorat
- Anglais
Technical consultant / Process Mining
FineDigit —Paris (75)
- Anglais
- Master
- SQL
Alternant(e) - Chef de Projet Junior - Intelligence Artificielle et Data Mining
SFR —Paris (75)
- Informatique
- Agile
- Intelligence artificielle
CHARGE DE DETECTION DES TRAFICS (H/F)
SPA - Société protectrice des animaux —Paris (75)
- Temps plein
- Analyse de données
- Anglais
- Microsoft Office
- Horaires flexibles
Business Value Analyst / Process Mining
FineDigit —Paris (75)
- Service client
- Anglais
- Master
Auditeur interne F/H
Saint Gobain —Courbevoie (92)
- De 50 000 € à 60 000 € par an
- Déplacements à prévoir jusqu'à 50%
- Ingénierie
- Analyse de données
Postuler rapidement
il y a 4 jours
Final Year Internship Consultant - Data Analyst
Sia —Paris (75)
- 2 000 € par mois
- Temps plein
- Analyse de données
- Anglais
- Master
Postuler rapidement
Oliver Wyman - Intern - Operations – Paris (France)
Oliver Wyman —Paris (75)
- Temps plein
- Microsoft Powerpoint
- Espagnol
- Microsoft Excel
STAGE - Inspecteur Audit Data - F/H
La Banque Postale —Paris (75)
- Informatique
- Anglais
- Master
Postuler rapidement
Alternance – Data Analyst (F/H)
Direct Assurance —Suresnes (92)
- De 861 € à 2 206 € par mois
- Ingénierie
- Microsoft Office
- Master
Consultante expérimentée / Consultant expérimenté - Transformation opérationnelle Lean, Data & IA
Capgemini Sogeti —Issy-les-Moulineaux (92)
- Microsoft Powerpoint
- Ingénierie
- Anglais
Consultant Junior Finance Strategy & Transformation F/H
KPMG —Courbevoie (92)
- Ingénierie
- Anglais
- Bureau
QUANTITATIVE CONSULTANT
managementsolutions —Paris (75)
- Python
il y a 9 jours
Auditor Apprentice
Redion —Saint-Denis (93)
- Télétravail partiel
- Microsoft Powerpoint
- Microsoft Word
- Anglais
Alternance - 1 an - Analyste quantitatif des tests de résistance du marché F/H
Natixis —Paris (75)
- Ingénierie
- Anglais
- Master
Responsable Qualité et Processus IT
AXA —Paris (75)
- Informatique
- Analyse de données
- Master
Apprentice Internal Auditor
Redion —Saint-Denis (93)
- Télétravail partiel
- Microsoft Powerpoint
- Microsoft Word
- Anglais
Consultante expérimentée / Consultant expérimenté - Transformation opérationnelle Lean, Data & IA
Capgemini —Issy-les-Moulineaux (92)
- Microsoft Powerpoint
- Ingénierie
- Anglais
Chef de projet Market Data Administration H/F
Crédit Agricole CIB —Guyancourt (78)
- Microsoft Powerpoint
- Ingénierie
- Anglais
- Opportunités de carrières
Global EHS Manager
AMETEK, Inc. —Gennevilliers (92)
- De 70 000 € à 90 000 € par an
- Master
- Budgétisation
- Leadership
il y a 10 jours

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : data mining (paris, a8)

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Data Scientist - QuantumBlack, AI by McKinsey

McKinsey & Company -
Paris (75)

Soumettre votre candidature

Détails de l'emploi

Qualifications

Français
Azure
Exploration de données
Niveau Doctorat
Kubernetes
SAS
R
Anglais
Google Cloud Platform
Docker
Machine learning
Ruby
Intelligence artificielle
SPSS
Python
Hadoop

Description complète du poste

Job ID: 97882

Paris

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

You will collaborate with clients and interdisciplinary teams to develop impactful analytics solutions, optimize code, and solve real-world business problems across diverse industries.

You’ll grow as a technologist by contributing to cutting-edge projects, R&D, and global conferences while working alongside world-class talent in a dynamic, innovative environment.

In this role, you will partner with clients to understand their needs and develop impactful analytics solutions. You will translate business problems into analytical challenges, build models to solve them, and ensure they are evaluated with relevant metrics. You’ll also contribute to internal tools, participate in R&D projects, and have opportunities to attend and present at conferences like NIPS and ICML.

Your work will create real-world impact. By identifying patterns in data and delivering innovative solutions, you will help clients maintain their competitive advantage and transform their day-to-day operations. Your contributions will directly influence business outcomes and drive lasting improvements across industries.

You will be in Paris and collaborate closely with data scientists, data engineers, machine learning engineers, designers, and product managers around the world working on interdisciplinary projects that use math, statistics, and machine learning to derive insights from raw data. You will help global companies transform their businesses and enhance performance across industries such as healthcare, automotive, energy, and elite sports.

You’ll thrive in an unparalleled environment for growth. You’ll develop a sought-after perspective by connecting technology and business value, tackle real-life challenges across diverse industries, and collaborate with inspiring multidisciplinary teams, gaining a holistic understanding of AI and its potential to drive transformation.

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

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

Bachelors, Masters or PhD level in a discipline such as computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence.

Professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data

Programming experience (focus on machine learning): R and/or Python (required), SPSS, SAS, Ruby, Hadoop (valued)

Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains

Ability to independently own and drive model development, balancing demands and deadlines

Demonstrated aptitude for analytics

Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment

Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields

Willingness to travel

Strong communication skills, both verbal and written, in English and French, with the ability to adjust your style to suit different perspectives and seniority levels

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.

Soumettre votre candidature

Affinez votre recherche

data mining emplois - paris, a8

Data Scientist - QuantumBlack, AI by McKinsey

Technical consultant / Process Mining

Alternant(e) - Chef de Projet Junior - Intelligence Artificielle et Data Mining

CHARGE DE DETECTION DES TRAFICS (H/F)

Business Value Analyst / Process Mining

Auditeur interne F/H

Final Year Internship Consultant - Data Analyst

Oliver Wyman - Intern - Operations – Paris (France)

STAGE - Inspecteur Audit Data - F/H

Alternance – Data Analyst (F/H)

Consultante expérimentée / Consultant expérimenté - Transformation opérationnelle Lean, Data & IA

Consultant Junior Finance Strategy & Transformation F/H

QUANTITATIVE CONSULTANT

Auditor Apprentice

Alternance - 1 an - Analyste quantitatif des tests de résistance du marché F/H

Responsable Qualité et Processus IT

Apprentice Internal Auditor

Consultante expérimentée / Consultant expérimenté - Transformation opérationnelle Lean, Data & IA

Chef de projet Market Data Administration H/F

Global EHS Manager

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : data mining (paris, a8)

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