ByJob ID: 86043
Work Area(s): Technology & Engineering
Team: Bain Capability Network (BCN)
Employment Type: Permanent Full-Time
Location(s): Bengaluru | New Delhi
Description & Requirements
Who We Are
Bain & Company is a global management consulting firm that helps the world’s most ambitious change-makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.
Who You’ll Work With
BCN Labs is a Center of Excellence (CoE) functioning akin to a small R&D boutique startup within the Bain ecosystem. We deliver end-to-end data-driven client deployable solutions across a wide variety of sectors and industries. We work directly with other CoEs and Practices within Bain as part of the Expert Client Delivery system and interface with teams across the globe. We are business thought partners working on intelligent ways of using analytical techniques and algorithms across various disciplines to build world-class solutions. Our goal is to create a disruptive high-impact business-enabled end-to-end analytical solutions delivery system across all verticals of Bain.
What You Will Do
We are seeking a strong candidate with experience in building applications around advanced analytics models, including front-end and back-end, and hosting said applications to fill an exciting Associate (AS) role within BCN Labs. The AS is expected to have strong expertise in designing and building business-intuitive front-end interfaces and in setting up a robust back-end for our Machine Learning models and analytical solutions. The team includes many data scientists, and the AS will interface with them daily to encapsulate the analytical solutions within innovative, intuitive, and seamless apps for end-clients and non-technical business leaders.
An AS is expected to:
- Collaborate with data scientists (who typically work with Python) to design and help build automated, deployable solutions using data orchestration tools (like AirFlow, etc.).
- Develop and maintain front-end interfaces for data science applications, enhancing user experience and interaction with complex data sets.
- Assist in the design and implementation of database solutions and data pipelines, supporting analytics and machine learning projects.
- Lead the integration of Python-based models with databases via RESTful APIs, facilitating real-time data processing and analytics.
- Employ Docker for application containerization and Git for version control, ensuring code quality and efficient team collaboration.
- Successfully deploy multiple applications on AWS, optimizing cloud resources for cost-efficiency and scalability.
- Contribute to the development of internal tools and platforms using technologies like Django and/or Streamlit to improve productivity and project delivery times.
- Engage in continuous learning to stay ahead of emerging technologies and methodologies in data engineering and software development.
The AS should be keen on tackling challenging problems, coming up with their own ideas, and brainstorming with peers and managers. They should be open to learning new techniques and solving problems with an interdisciplinary approach. Excellent coding skills and a willingness to write modular, functional codes are essential.
About You
- A Master’s or advanced degree in a field linked to analytics such as Computer Science, Information Technology (IT), Operations Research, Engineering, etc.
- Bachelor’s degree holders in the aforementioned fields with a stellar academic record and proven ability in implementing applications and working through the end-to-end delivery cycle of analytical solutions, including hosting.
- Excellent skills in HTML, CSS, JavaScript, SQL, Ajax, working with APIs – RESTful or otherwise, a coding language such as C or JAVA, and intermediate exposure to Python.
- Preferable but not mandatory skills in Django and/or Streamlit.
- (Good-to-have but not necessary) Exposure to either AWS or Azure with some experience in deploying Python-based solutions on these cloud platforms, Airflow, Snowflake, PySpark, Git, Docker, etc.
- Team-oriented with a collaborative working style, akin to a college/hostel environment, where reaching out for support to better enable clients is encouraged.
- At least 1-2 years of demonstrated abilities in data engineering and software development for Master’s degree holders, and at least 3 years of a stellar career track record for Bachelor’s degree holders.
- Demonstrated abilities to manage and deliver data-driven projects.
What Makes Us a Great Place to Work
We are proud to be consistently recognized as one of the world’s best places to work, a champion of diversity, and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor’s list for the last 12 years. We believe that diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor, and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ, and parents.
