The growth that drives permanent impact and building long -term capabilities with our customers is not easy to work. You are the type that flourishes in a high -performance/high -performance culture culture – do difficult things, pick up yourself when you stumble, and the presence of flexibility to try another way to move forward.

In exchange for your leadership, design and curiosity, we will provide the resources, guidance and opportunities you need to become a stronger leader than you think it is possible. Your colleagues will invest – at all levels – deeply in your development, as much as they invest in providing exceptional results to customers. Every day, you will receive vocational training, training and exposure that will speed up your growth in ways that you will not find anywhere else.

When you join us, you will have:
• Continuing learning: The culture of our vocational learning and training, supported by organized programs, revolves around your help in growing with the creation of an environment in which the comments are clear and implemented and focus on your development. The real magic occurs when the inputs take from others to its heart and embrace a fast -paced learning experience, and possess your journey.
• An important voice: From the first day, we appreciate your thoughts and contributions. It will achieve a tangible effect by presenting innovative ideas and practical solutions. We are not only encouraging various views, but they are crucial in pushing the best possible results.
• The global community: With colleagues in 65 countries and more than 100 different nationalities, the diversity of our company nourishes creativity and helps us to reach the best solutions to our customers. In addition, you will have the opportunity to learn from exceptional colleagues with various backgrounds and experiences.
• World -level benefits: In addition to a competitive salary (based on your site, your experience and skills), we offer a comprehensive benefits package to enable the comprehensive luxury for you and your family.

Impactas data scientist, you will cooperate with customers and multidisciplinary teams to develop influential analyzes solutions, improve software instructions, and solve business problems in the real world through various industries. It will grow as a technician by contributing to advanced projects, research, development and global conferences while working as well as global level talents in an innovative dynamic environment.

In this role, you will participate with customers to understand their needs and develop solutions to influential analyzes. Work problems will translate into analytical challenges, build models to solve them, and make sure they are evaluated with related standards. You will also contribute to internal tools, participate in research and development projects, and you have opportunities to attend and get conferences such as Nips and ICML.

Your business will create an effect in the real world. By identifying patterns in data and providing innovative solutions, customers will help maintain their competitive advantage and transform their daily operations. Your contributions will directly affect business results and push permanent improvements across industries.

It will be in Amsterdam or Brussels, and he has been closely cooperated with data scientists, data engineers, automated learning engineers, designers and product managers all over the world who work on multidisciplinary projects that use mathematics, statistics and machine learning to extract visions of raw data. International companies will help to transform their business and enhance performance through industries such as health care, cars, energy and elite sports.

In MCKINSEY, it will flourish in an unparalleled environment for growth. You will develop a desirable perspective by linking technology and work value, addressing realistic life challenges across the various industries, cooperating with inspiring multidisciplinary teams, and gaining a comprehensive understanding of Amnesty International and its ability to push the transformation.

Our technology pile

While we call for the use of the appropriate technology for the right task, we often benefit from the following technologies: Python, Pyspark, Pydata Stack, SQL, Airflow, Databricks, Terch Open Data Pipeting Framework called Kedro, DASK/RAPIDS, and Tranologies like Docker and Kubernetes, such as AS.

Your qualifications and skills
• Bachelor, Master, or PhD level in discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence.
• 0-2+ years of professional experience in applying machine learning technologies and cleaning data for real problems with abundant amounts of data
• Programming experience (focus on machine learning): R and/or Python (Must), SPSS, SAS, Ruby, Hadooop (value).
• The initial model of statistical analysis and modeling of algorithms and the application of these algorithms to data -based solutions for problems in new fields
• The ability to possess and lead the model independently, balance demands and deadlines.
• Show the efficiency of analyzes.
• While we call for the use of the appropriate technology for the right task, we often benefit from the following technologies: Python, Pyspark, Pydata Stack, SQL, Airflow, Databricks, Framewithes Open Open Opens, such as AS, such as AS, AS, AS,
• Strong, verbal and written communication skills, in English, with the ability to adjust your style to suit different views and seniority levels. Knowledge of French or Dutch is estimated.
• An exceptional time management to meet your responsibilities in a largely complex and independent work environment.
• Good display and communication skills, with the ability to explain the complex analytical concepts of people from other fields.
• Prepare to travel.

a company:

McKinsey and Partners

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Experience level (years):

Senior (5 years of experience)

Seasoning as follows: Data extractionand industryand Automated learningand Hollandand NLP