Senior Associate - Consumer Products AI
@ Bain & Company

Gurugram, Haryana, India
$150,000
On Site
Full Time
Posted 20 hours ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXXX XXXXXXXXXXX XXXXXXXX******* @bain.com
Recommended after applying

Job Details

About Bain & Company

Bain & Company is a global consultancy helping ambitious change makers shape the future. With 65 offices across 40 countries, we work collaboratively to achieve extraordinary results and redefine industries. Founded in 1973, our success is measured by the success of our clients. In 2004, we expanded into India with the Bain Capability Center in New Delhi, now known as the Bain Capability Network (BCN), which plays a key role in global case support with analytics and research solutioning.

Who You Will Work With

The Consumer Products Center of Expertise collaborates with global CP practice leadership, client-facing Bain leadership, and end clients to develop and deliver proprietary CP products and solutions. You will be part of a diverse team including Directors, Managers, Project Leads, Associates, and Analysts, working on advanced analytics solutions and cloud-based implementations.

What You’ll Do

  • Collaborate with data scientists using Python, LLMs, NLP, and Generative AI to design and deploy intelligent agents and chain-based applications.
  • Develop and maintain front-end interfaces using frameworks such as React.js, Angular, Nextjs, Streamlit, or DASH.
  • Build and integrate Python-based machine learning models with backend systems via RESTful APIs using FastAPI, Flask or Django.
  • Design scalable data pipelines and ETL workflows using DBT, PySpark, and SQL.
  • Utilize containerization (Docker) and version control (Git) for robust code development.
  • Deploy ML and data-driven applications on cloud platforms like AWS and Azure.
  • Contribute to AI/ML Ops platforms to streamline model deployment and monitoring.
  • Create dashboards and visualizations using Tableau, PowerBI, Plotly and Seaborn.
  • Demonstrate business communication skills using Excel and PowerPoint.

About You

You hold a Master’s degree in Computer Science, Data Science, Engineering, or related field (or have equivalent industry experience as a Bachelor's candidate). You have 2 years of experience for Master’s level or 3+ years for Bachelor’s level in AI/ML, software development, and data engineering. You possess a strong understanding of LLMs, NLP, Generative AI methodologies, and proficient coding skills in Python. Frontend development skills in HTML, CSS, JavaScript/TypeScript, and frameworks like React.js are key, along with knowledge of data engineering, cloud infrastructure, and MLOps/AI Ops tools.

What Makes Us a Great Place to Work

Bain is recognized as one of the world’s best places to work. We value diversity, inclusion, and collaboration. Awarded by Glassdoor, Fortune, Vault, and others, we provide an environment where you can thrive professionally and personally.

Key Skills/Competency

  • Python
  • LLMs
  • NLP
  • Generative AI
  • React.js
  • Data Engineering
  • Cloud Deployment
  • ETL Pipelines
  • MLOps
  • Consulting

How to Get Hired at Bain & Company

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills to AI, ML, and consulting roles.
  • Showcase project experience: Highlight coding and analytics achievements.
  • Research Bain: Understand their global consultancy approach.
  • Prepare for technical tests: Review Python, data pipelines, and cloud knowledge.
  • Practice communication: Emphasize clear business problem translation.

📝 Interview Preparation Advice

Technical Preparation

Review Python libraries and frameworks.
Practice ML model deployment via APIs.
Study ETL pipelines and data engineering.
Brush up on cloud deployment best practices.

Behavioral Questions

Describe a teamwork challenge and resolution.
Explain a time you solved a complex problem.
Discuss how you keep skills updated.
Share a successful interdisciplinary project experience.

Frequently Asked Questions