← Back to all jobsAssociate - Data Scientist
Bain & Company
India
Apply Directly →Bain & Company is hiring for the role of Data Scientist Associate!
Responsibilities of the Candidate:
• Analyse large and complex datasets to extract meaningful insights and support data-driven decision-making.
• Develop, validate, and deploy machine learning and statistical models for business use cases.
• Apply advanced analytics techniques such as segmentation, forecasting, optimisation, and causal inference.
• Collaborate with business stakeholders to understand problem statements and translate them into analytical solutions.
• Work with data engineers to source, clean, and prepare data for modelling and analysis.
• Create clear and compelling visualisations, dashboards, and presentations to communicate insights effectively.
• Support development of scalable analytics solutions and contribute to model deployment in production environments.
• Evaluate model performance and continuously improve models through experimentation and iteration.
• Contribute to the development of reusable analytics assets and Bain intellectual property.
• Stay updated with the latest advancements in data science and machine learning techniques.
Requirements:
• Bachelor s or Master s degree in Data Science, Statistics, Computer Science, Mathematics, or related quantitative fields.
• 2 5 years of experience in data science, machine learning, or advanced analytics roles.
• Strong proficiency in Python, with hands-on experience in data manipulation and analysis libraries (Pandas, NumPy, etc.).
• Experience with machine learning techniques such as regression, classification, clustering, and time series analysis.
• Familiarity with statistical analysis, hypothesis testing, and experimental design.
• Experience working with structured and unstructured datasets at scale using SQL and/or big data tools.
• Exposure to ML frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Ability to translate business problems into analytical approaches and derive actionable insights.
• Strong data visualisation and storytelling skills using tools such as Power BI, Tableau, or Python-based libraries.
• Prior exposure to consulting or working with cross-functional stakeholders is a plus.
via unstop · Posted 24/4/2026