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. We are currently the #1 ranked consulting firm on [1] Glassdoor’s Best Places to Work list and have maintained a spot in the top four on Glassdoor’s list since its founding in 2009. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.
WHO YOU’LL WORK WITH
You’ll join our Data Science & Machine Learning Engineering experts within the [2] AI, Insights & Solutions team. This team is part of Bain’s digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work 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, for data, appropriately prioritize and execute
- Develop and/or implement tools and deploy acquisition, extraction, transformation, management, and manipulation of large and complex data sets.
- Develop, prototype, test, solutions on wide-ranging machine learning solutionson wide ranging types of data sets, ranging from a few data points to billions
- Ensure standards and guidelines are being used by team to develop re-usable common frameworks, model 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 AISabout theoretical and technical developments in the rapidly evolving data science field, collaborate with theopen sourcecommunity, 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 depend on the project
ABOUT YOU
We are looking for someone who has:
- Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statistics or Information Sciences such as business analytics or informatics
- 2-6years 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 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
References
Visible links
1. https://www.bain.com/about/awards-recognition/
2. https://www.bain.com/careers/work-with-us/integrated-teams/ai-insights-solutions-ais/
