Bain & Company is Hiring for Consultant, Lead, Machine Learning Engineer, Data Science Roles. Here is everything that you need to know about this post!
Bain & Company job Overview
- Company – Bain & Company
- Role – Consultant, Lead, Machine Learning Engineer, Data Science
- Location – Bengaluru, Mumbai, New Delhi
- Qualifications – Bachelor’s Degree, MBA (varies by role)
- Experience – Relevant Experience
JOB DESCRIPTION
Consultant
As a Bain consultant, your analytical, interpersonal, creative thinking, business management and leadership skills will be called upon from day one. You will be in the thick of the action as you work side-by-side with some of the best in the business. And you will help create change.
Lead, Machine Learning Engineer, Data Science
Bain’s Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering.
Roles and Responsibilities
Consultant
- Research the client organization and industry; interview, conduct focus groups and facilitate workshops with client employees, management teams and other stakeholders
- Identify issues, create hypotheses and execute analysis; translate data into meaningful insights; present recommendations to key decision makers
- Move the client to action; develop a plan to implement the strategic recommendations; manage the execution
- Be a mentor to junior team members
Lead, Machine Learning Engineer, Data Science
- Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, marketing analytics and academia.
- Strong understanding of fundamental computer science concepts, particularly data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance
- Solid understanding of foundational concepts and algorithms in statistics and machine learning, including linear/logistic regression, SVM, random forest, boosting, neural networks, dimensionality reduction, reinforcement learning, etc.
Basic Qualifications
Consultant
- Experience in consulting, a start-up or other business environment beneficial, but not required
- A solid team player who’s also an independent thinker
- A robust analytical skillset, endless curiosity and a penchant to think the impossible
- Must be deadline driven, organized and able to multi-task
- Strong verbal, written and presentation skills are important
- Fluency in English
Lead, Machine Learning Engineer, Data Science
- 3-5 years of engineering experience
- Expert knowledge of Python and SQL
- Proficiency in one or more of R, Java, C++, Scala, Go, Julia. Familiarity with JavaScript Frameworks e.g. React, Vue is a plus.
- Track record of implementing statistical, machine learning and NLP models, deploying these and maintaining them in production environments
- Understanding of data security and privacy regulations, key topics in cybersecurity, authentication and authorization mechanisms (including cloud IAM)
- Experience with MLOps (scalable development to deployment of complex data science workflows) and associated tools, e.g. MLflow, Kubeflow
Apply link
For Consultant – CLICK HERE
For Lead, Machine Learning Engineer, Data Science – CLICK HERE
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