McKinsey & Company

Who You'll Work With

You will be based in our Wroclaw office as part of our global Orpheus team of software, analytics and procurement experts. You will join a fast-growing team in the procurement arena, taking cutting edge technology solutions to clients. 

Orpheus, a McKinsey company, brings technology and services to our clients to drive spend transparency, spend and cost analytics, and value-capture management. We are part of McKinsey’s global Client Capabilities Network (CCN), which includes more than 1,800 knowledge professionals who work alongside our consultants and clients to generate distinctive insights and proprietary knowledge.

Orpheus infuses best-in-class technology and AI-based analytics with deep supply-market and category-sourcing expertise. You’ll be part of a team that is a core element of the digitally enabled procurement function of the future. This team engages in all business value chain activities from product development to distribution, playing a strategic role in managing budgets and costs, anticipating and mitigating supply risk, driving compliance, and generating transparency to external spending in an organization.

What You'll Do

You will develop and apply data science methods to improve and optimize Orpheus solutions, such as our data categorizer, or to develop methods to analyze various data streams for opportunities to improve external spending. 

You will communicate complex analytics concepts and use statistics and machine learning to solve complex problems or derive key insights. You will write highly optimized code to advance our internal data science toolbox. You will develop world-class data science products for Orpheus together with the broader software development teams within McKinsey, as well as individualize implementation for our clients. 

There is flexibility to hire at the level of specialist or senior specialist, depending on the candidate's experience.

Qualifications

• Bachelor's or master’s degree in machine learning, applied statistics, biostatistics, data science, applied math, quantitative social sciences or a related field
• Professional experience in an analytics firm working in statistical modeling and/or machine learning 
• Exposure to machine learning and artificial intelligence is a plus for specialists, and is required for senior specialists 
• Experience with text, analytics, and tabling
• Expertise in Python 
• Exposure to generic algorithms including cost function, neural networks, random forest, support vector machines, gradient boosting, Naïve Bayes, etc.
• Exposure to tools like Excel, VBA, Alteryx, Tableau and Power BI is an advantage
• Proven comfort and an intellectual curiosity for working with very large sets of data, pulling in relevant team members to address identified, and sometimes undiscovered, client needs
• Comfortable with statistical techniques including correlation, regression, clustering, time-series, etc.
• Comfortable with ambiguity and changing priorities in agile settings 
• Critical thinking and creative problem-solving skills 
• Ability to influence stakeholders at all levels in an organization and to work effectively in teams
• Strong written and verbal communication skills in English