Data Scientist

Data Scientist at Bain & Company

At Bain & Company, we are proud to be consistently recognized as one of the world’s best places to work, currently ranking #1 among consulting firms on Glassdoor’s Best Places to Work list. Our extraordinary teams are central to our business strategy, built through an intentional focus on diverse backgrounds, cultures, experiences, perspectives, and skills within a supportive and inclusive work environment. We hire exceptional talent and foster an environment where every individual can thrive professionally and personally.

Who You’ll Work With

You’ll join our Data Science & Machine Learning Engineering experts within the AI, Insights & Solutions team, which is part of Bain’s digital capabilities practice. This multidisciplinary environment includes experts in analytics, engineering, product management, and design. You will leverage deep technical expertise with strong business acumen to help clients solve their most transformative challenges. You'll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions, creating human-centric approaches that harness the power of data and artificial intelligence to drive competitive advantage. Our collaborative environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.

What You’ll Do

As a member of the growing Data Science team in Bain’s AI, Insights & Solutions, you will:

• Work with consulting teams and clients to understand business problems, translate them into data science projects, and appropriately prioritize and execute.
• Develop and/or implement tools for data acquisition, extraction, transformation, management, and manipulation of large and complex data sets.
• Develop, prototype, test, and deploy machine learning solutions on a wide range of data sets, from a few data points to billions.
• Ensure standards and guidelines are used by the team to develop re-usable common frameworks, models, and components that address repeatable tasks and problem/data sets in specific industries or business functions.
• Share learnings and drive adoption of best demonstrated practices with your teammates in AIS about theoretical and technical developments in the rapidly evolving data science field, collaborate with the open-source community, and work together to create a great working environment that attracts other great Data Scientists.
• Keep abreast of new and current data science techniques and technologies.
• Travel will be project-dependent.
• This position will be located in Seoul.

About You

We are looking for someone who has:

• A degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statistics, or Information Sciences (e.g., business analytics or informatics).
• 2-6 years of experience in analytics.
• Strong interpersonal and communication skills, including the ability to explain and discuss mathematical and machine learning technicalities with colleagues and clients from other disciplines.
• Solid fundamental knowledge of supervised, unsupervised, reinforcement learning machine learning algorithms such as classifiers, cluster analysis, dimension reduction, regression, deep learning methods, etc.
• Experience with MLOps – scalable development to deployment of complex data science workflows.
• Experience with model explainability and interpretability techniques.
• Proficiency in Python required.
• Experience with Containers, Docker, and Git is required.
• Experience in machine learning frameworks and tools (e.g., scikit-learn, Pytorch, etc.) required.
• Experience with large-scale distributed computing and cloud platforms such as AWS, Azure, or GCP.
• Experience using frameworks like OpenAI is a plus.
• Strong communication skills in both English and Korean are required.

Key skills/competency

• Data Science
• Machine Learning
• Python
• MLOps
• Cloud Platforms (AWS, Azure, GCP)
• Deep Learning
• Data Manipulation
• Statistical Modeling
• Business Acumen
• Client Solutions