Állás részletei
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Cég neve
McKinsey & Company, Inc.Hungary Magyarországi Fióktelepe
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Munkavégzés helye
Budapest -
Munkaidő, foglalkoztatás jellege
- Teljes munkaidő
- Általános munkarend
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Elvárt technológiák
- SECURITY ANALYTICS DEVOPS CLOUD POWERPOINT AGILE MACHINE LEARNING EXCEL
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Elvárások
- Angol középfok
- 1-3 év tapasztalat
- Középiskola
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Állás leírása
Responsibilities
Work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams
Develop new or enhance existing assets
Design and build robust, modular, scalable, and secure data pipelines for machine learning that are deployable, reproducible, and versioned
Prepare and manage data environments ensuring they meet the highest information security standards
Enable software capabilities for data engineers, data scientists, consulting teams, and external clients
Contribute to the development of core data frameworks and technical platforms that power advanced analytics engagements
Build and maintain technology assets that support high-stakes projects
Collaborate with world-class design, technical, and business talent
Experiment with the latest technologies and push the boundaries of innovation
Collaborate with data scientists, machine learning engineers, and industry experts to design and deliver cutting-edge data solutions
Enable advanced analytics and machine learning capabilities
Contribute to research and development projects and internal asset development
Develop new or enhance existing assets
Design and build robust, modular, scalable, and secure data pipelines for machine learning that are deployable, reproducible, and versioned
Prepare and manage data environments ensuring they meet the highest information security standards
Enable software capabilities for data engineers, data scientists, consulting teams, and external clients
Contribute to the development of core data frameworks and technical platforms that power advanced analytics engagements
Build and maintain technology assets that support high-stakes projects
Collaborate with world-class design, technical, and business talent
Experiment with the latest technologies and push the boundaries of innovation
Collaborate with data scientists, machine learning engineers, and industry experts to design and deliver cutting-edge data solutions
Enable advanced analytics and machine learning capabilities
Contribute to research and development projects and internal asset development
Requirements
Degree in relevant field, or equivalent experience
0+2 years of relevant work experience
Proven experience building data pipelines in production for advanced analytics use cases
Experience working across structured, semi-structured and unstructured data
Exposure to software engineering concepts and best practices, including DevOps, DataOps and MLOps (considered a plus)
Familiarity with distributed computing frameworks, cloud platforms, containerization, and analytics libraries
Excellent organization capabilities, including the ability to initiate tasks independently and see them through to completion
Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust style to suit different perspectives and seniority levels
Proficient in rational decision making based on data, facts, and logical reasoning
Ability to create work product-focused materials/outputs, including PowerPoint decks, Excel models, articles, or other written deliverables
Exceptional time management to meet responsibilities in a complex and largely autonomous work environment
Ability to work or attend meetings outside of traditional business hours or take on projects with limited or no notice at times
Ability to travel to and work in varying environments that may be challenging and/or not accessible (e.g., factories, hospitals, mines)
0+2 years of relevant work experience
Proven experience building data pipelines in production for advanced analytics use cases
Experience working across structured, semi-structured and unstructured data
Exposure to software engineering concepts and best practices, including DevOps, DataOps and MLOps (considered a plus)
Familiarity with distributed computing frameworks, cloud platforms, containerization, and analytics libraries
Excellent organization capabilities, including the ability to initiate tasks independently and see them through to completion
Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust style to suit different perspectives and seniority levels
Proficient in rational decision making based on data, facts, and logical reasoning
Ability to create work product-focused materials/outputs, including PowerPoint decks, Excel models, articles, or other written deliverables
Exceptional time management to meet responsibilities in a complex and largely autonomous work environment
Ability to work or attend meetings outside of traditional business hours or take on projects with limited or no notice at times
Ability to travel to and work in varying environments that may be challenging and/or not accessible (e.g., factories, hospitals, mines)
What we offer
Continuous learning with structured programs and apprenticeship culture
A voice that matters from day one with opportunities to make tangible impact
Global community with colleagues across 65+ countries and over 100 different nationalities
World-class benefits including competitive salary based on location, experience, and skills, and a comprehensive benefits package to enable holistic well-being for you and your family
A voice that matters from day one with opportunities to make tangible impact
Global community with colleagues across 65+ countries and over 100 different nationalities
World-class benefits including competitive salary based on location, experience, and skills, and a comprehensive benefits package to enable holistic well-being for you and your family
Company info
McKinsey & Company is a global management consulting firm that serves leading businesses, governments, non-governmental organizations, and not-for-profits. Founded in 1926, McKinsey operates in more than 65 countries and employs over 30,000 professionals. The firm is committed to helping clients achieve lasting improvements in their performance and to building a great firm that attracts, develops, excites, and retains exceptional people.
How to apply
You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
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