Intern, Data Science - Org Analytics

Job Description

Who You'll Work With

You will be joining the Org Analytics team in Waltham, MA.Org Analytics is a dedicated team of analysts and client managers, and members of the global Org practice. Org Analytics combines innovative design technology and advanced analytics with deep expertise to help our clients make effective organizational decisions.Org Analytics helps Human Resources and business leaders to make smarter organizational decisions by leveraging advanced data analytics, user-centric design technology and proven methodologies. These approaches help clients to answer critical questions related to cost reduction, efficiency and effectiveness streamlining, merger plans, divestments and carve-outs, and talent deployment.In creating asset-enabled practices, McKinsey is driving innovation in how we serve clients with analytics and design thinking. In recent years, McKinsey has hired thousands of technology professionals – data scientists, designers, software engineers, product managers, etc. – to serve alongside generalist consultants and identify ways that technology can improve outcomes.

What You'll Do

You will analyze and evaluate a wide range of data, including data from human resources information systems, business metrics, and survey assessments.Leveraging your advanced data analysis skills, you will create innovative approaches to answer our clients’ most relevant talent questions. You will work on a variety of problems across many different industries, such as a top-tier professional services company trying to improve the efficiency of their recruiting pipeline, an insurance company facing high, inexplicable attrition, and a major pharmaceutical company in need of a road-map to better understand their future talent needs.You will work with clients and our team to translate clients’ questions into analytical problems, manage the entire data cleaning pipeline, apply machine learning algorithms and data visualization techniques, generate insights, and communicate them back to clients.Working on projects and exchanging experiences with your colleagues means you will face new intellectual challenges on a daily basis, while continuously building your methodological knowledge and skills.

Qualifications

• University student pursuing an advanced degree in a STEM-related field (ops research, statistics, applied math, engineering); expected graduation date of January or May 2021
• Experience in one or more programming languages (R, Python, C++, etc.)
• Strong intrinsic problem-solving skills
• Ability to structure and solve problems and conduct and interpret analysis independently
• Demonstrated analytical and quantitative skills
• Ability to effectively communicate complex ideas