Data Scientist - People Operations

McKinsey & Company is a global consulting firm that helps clients solve complex business problems and build lasting capabilities. The Data Scientist will collaborate with multidisciplinary teams and clients to develop data science products and solutions, using advanced mathematics, statistics, and machine learning to derive insights from complex datasets. The role also includes writing optimized code for internal data science tools and contributing in a high-performance, client-focused environment.

What you'll do:

• You will work with other data scientists, data engineers, machine learning engineers, designers and product managers to innovate alongside clients and CSTs to develop new solutions or enhance existing assets
• This will involve leveraging advancement mathematics, stats and machine learning to derive structure and knowledge from raw data sets across various industry sectors that will enable solutions for many clients and amplify impact across a broad range of issues
• You will work on complex and extremely varied data sets from some of the world’s largest organizations to solve real world problems
• You will develop impactful data science products and solutions for clients, write highly optimized code to advance our internal Data Science Toolbox, and work in a multidisciplinary environment with specialists in machine learning, data and software engineering, and design teams

What they're looking for:

• Bachelor's or advanced professional degree in engineering, computer science, statistics, data science, or industrial organizational psychology; master's degree is a plus with less than 2 years of work experience
• 1+ years of professional experience as a data analyst or data scientist
• Programming experience in at least two of the following languages: R, Python, Scala, SQL
• Experience in statistical modelling and machine learning techniques
• Experience in applying advanced analytics and statistical methods in the commercial world
• Experience is software development environment (.Net, Java etc) is desirable but not a requisite
• Willingness to travel and co-locate depending on product and initiative needs
• Entrepreneurial mindset and self-starter to step into a fast-paced and dynamic environment and ready to build a strong network across the practice
• Expertise in communicating analytical and technical concepts to both technical and non-technical colleagues alike
• Consulting experience preferred especially within people analytics space

Benefits:

• Resources, mentorship, and opportunities for professional development
• Apprenticeship, coaching, and exposure to accelerate growth
• Continuous learning and apprenticeship culture backed by structured programs
• Clear, actionable feedback focused on development
• Opportunity to learn from exceptional colleagues with diverse backgrounds and experiences
• Comprehensive benefits package to enable holistic well-being for you and your family