Job Vacancies at Mckinsey & Company

About the job
Qualifications

• Bachelor’s degree in quantitative field like computer science, engineering, statistics, mathematics or related field required; advanced degree is a plus
• 3-5 years of hands-on mathematical modelling experience in business environment
• Programming (focus on machine learning) in R and/or Python (must), SPSS, SAS, Ruby, Hadoop (valued)
• Data treatment/Data mining SQL, AWK, Access, Spark, Excel (valued
• Advanced knowledge of statistical and machine learning techniques (regression, decision trees, clustering, neural networks, etc.)
• Proven experience in working with large datasets and relational databases (SQL)
• Distinctive communications skills and ability to communicate analytical and technical content in an easy to understand way
• Excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions
• Proven leadership with the ability to inspire others, build strong relationships, and create true followership, result-driven achievers
• Strong people skills, team-orientation, and a professional attitude
• Experience and interest in RDBMS systems (MySQL, IBM DB2, Oracle Database, etc.), cloud (AWS, Azure, Google Cloud Platform) and big data technologies (e.g. Hadoop, Hive, Impala, Spark, NoSQL DBs) is preferable (reword?)
• Experience in data extraction, transformation, cleaning, and validation
• Experience implementing advanced analytics / data science models into a production environment is a plus

What You'll Do

• You will be involved in specific engagements involving the building of new and bespoke advanced analytics solutions for clients. you’ll dive into complex data sets across a rich variety of industries, functions and geographies—while remaining a core member of the strategy team, injecting your analytics thinking on meaningful client projects.
• You will shape solutions tailored to the needs of our clients, maximizing programming languages (e.g., R, Python), tech platforms, and disruptive analytics methodologies (e.g., Casual Inference, Bayesian Optimization, Geospatial Analytics, Natural Language Processing) as part of our tech-agnostic firm.
• As a senior data scientist and consultant, you will have the opportunity to get in-depth exposure to emerging methodologies and programming languages through hands-on client projects, e-learnings, certifications, live bootcamps and global analytics conferences. You’ll also benefit from our established, formal leadership and consulting-toolkit trainings to support your personal and professional goals—from being a data-science manager to a firm partner to a Chief Analytics Officer.

Who You'll Work With

• You will join McKinsey’s Africa Analytics practice based in Johannesburg.
• Our Advanced Analytics teams bring the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data in order to unlock the strategic CEO agenda.
• Your role will entail extensive interactions with our global analytics community; partnering with generalist consultants, clients and other colleagues.

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About the job
Qualifications

• Post Grad or master’s degree; or equivalent work experience
• 5-8 years of experience in software development, including leading a team and a project workstream
• Strong application development knowledge of any of the following technologies JavaScript, React, Android (Kotlin/Java), Swift, MySQL, Ruby on Rails, Java, .Net core, HTML, CSS
• Engineering practice experience such as code refactoring, design patterns, design-driven development, continuous integration, building highly scalable applications, application security, secure coding practice
• Demonstrated track record of successfully understanding the business requirements and designing realistic and effective solutions
• Knowledge of Agile software development process
• Knowledge of agile testing approaches such as unit, integration and end-to-end testing
• Familiarity with testing frameworks such as RSpec, JUnit or Selenium
• Good working knowledge of at least one cloud based hosting platform such as AWS, Azure, Google Cloud
• Working knowledge of continuous integration and delivery/deployment tools like CircleCI, Jenkins, Azure DevOps Services, Bamboo or TeamCity
• Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
• Skills to communicate complex ideas effectively
• Willing to travel up to 80%
• Fluent in English. Additional languages is a plus

What You'll Do

• You will work collaboratively in small teams and iteratively through design and development to deliver fully functioning web-based and mobile applications.
• In this role, you will employ agile methodologies to quickly provide our clients with the solutions they need. You will help combine the latest open source technologies together with traditional Enterprise software products.
• As a Tech Lead, you will be a core member of the team with responsibilities that range from driving the architecture design and technology decisions for shaping the next generation products for various internal teams to ensuring that we stay on the leading edge of technology. You will also be responsible for leading multiple development teams while delivering best in class enterprise grade software solutions across a breadth of different platforms and technologies.
• You are a flexible and adaptive tech lead, who effectively communicates across a broad range of stakeholder groups from engineers to business users, as well as effectively leads a project workstream

Who You'll Work With

• You will join McKinsey Digital as a Tech Lead based in Johannesburg.
• McKinsey Digital brings together the best of McKinsey’s digital capabilities to help our clients use digital technology to transform their businesses. As part of this group, you’ll join a global team working on everything from IT modernization and strategy to agile, cloud, cybersecurity, and digital transformation. You’ll typically work on projects across all industries and functions and will be fully integrated with the rest of our global firm.
• You’ll also work with colleagues from across the firm to help our clients deliver breakthrough products, experiences, and businesses, both on technology and non-technology topics.
• Our office culture is casual, fun and social, with an emphasis on education and innovation. We have the freedom to try new ideas, experiment and are expected to be constantly learning and growing. There is also a strong emphasis on mentoring others in the group, enabling them to grow and learn.