JOB RESPONSIBILITIES:
Location: Bengaluru/Mumbai/NewDelhi
WHAT YOU'LL DO:
As a member of the Data Science and Machine Learning Engineering guild in Bain’s Advanced Analytics Group you will work alongside Bain’s consulting teams to deliver market-changing machine learning and generative AI solutions to our clients, some of the most successful and pioneering businesses in the world. In this role you will:
- Provide data science services to Bain case teams and clients worldwide. You will work with other data scientists and case teams to assess client demands and suggest data science methods that provide practical, value-added answers to the client and case teams.
- Develop solutions that bring critical insights to wide scale of different problems such as targeting customers and segmenting markets, product design, marketing optimization, demand forecasting and brand valuation, profit and price analyses, and fraud detection.
- Develop, prototype and test machine learning algorithms on data sets that can range from a few data points to billions.
- Apply machine learning and statistical techniques including regression models, decision trees, random forests, gradient boosting, support vector machines, clustering and topic models.
- Prepare various sources of data using data wrangling methods in Python, R and SQL, leveraging infrastructure including Cloud computing solutions and relational database environments.
- Keep abreast of new and current statistical methodologies, machine learning and data wrangling techniques.
ABOUT YOU:
- Preferred: a Master’s Degree or Ph.D. in in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, or similar numerate and computational fields.
- 1-3 years relevant post graduate experience in applications of Data Science or equivalent
- Strong foundation in machine learning and statistics, including supervised and unsupervised algorithms, and Bayesian inference
- Good understanding of the principles of Responsible AI, particularly fairness, explainability and data privacy.
- While we are looking for genuinely creative problem solvers who can think outside the box, the following domains are typically of interest: generative AI, predictive modeling, time series forecasting, recommender systems, anomaly detection, pricing analytics, marketing analytics, customer analytics, and graph analytics.
- Experience in generative AI, including large language models, prompt engineering, and frameworks such as langchain.
- Proficiency with data wrangling, visualization and modeling in Python is required, and proficiency in at least one of Keras, PyTorch or Tensorflow is preferred.
- Exposure to either AWS, GCP or Azure, with some experience of deploying Python based solutions on cloud platforms
- Experience with Git, CI/CD, docker and modern software development workflow at the level required for modern ML development is required
- Proficiency in SQL or equivalent NoSQL system is a plus
- Strong interpersonal and communication skills are pre-requisite for this role, especially in explaining complex technical issues to a business audience, due to a career path with increasing exposure to clients
- There may be significant travel requirements (up to 30%) due to the international nature of our business