Data Science Internship

Role Overview: You will be responsible for transforming natural language data into useful features using NLP techniques to feed classification algorithms. Your role will involve using effective text representation techniques and classification algorithms, as well as developing and maintaining robust data processing pipelines and reproducible modeling pipelines. Understanding business objectives, developing models to achieve them, along with metrics to track progress, will be part of your responsibilities. You will need to explore data and communicate insights clearly to both non-technical and technical audiences. Analyzing experimental results, iterating, and refining models to create significant business impact will also be key aspects of your role. Additionally, you will be expected to follow strict coding standards and other software engineering best practices while promoting this culture within the organization. Key Responsibilities: - Transform natural language data into useful features using NLP techniques - Utilize effective text representation techniques and classification algorithms - Develop and maintain robust data processing pipelines and reproducible modeling pipelines - Understand business objectives and develop models to achieve them, along with tracking metrics - Explore data and communicate insights clearly to both non-technical and technical audiences - Analyze experimental results, iterate, and refine models for significant business impact - Follow strict coding standards and software engineering best practices Qualifications Required: - Bachelors Degree in a Quantitative discipline - Demonstrable project experience in Data Science/Analytics (Github links preferable) - Strong ability to write robust code in Python - Familiarity with machine learning frameworks (like Tensorflow or PyTorch) and libraries (like scikit-learn, StatsModels) - Proficient in evaluation metrics (MAPE, F1, RMSE, Confusion Matrix) - Strong problem-solving skills - Excellent verbal and written communication skills - Ability to take complete ownership of work and be self-driven Additional Company Details: Discover Dollar's mission is to help enterprises create value by harnessing vast amounts of unstructured data through a data-first approach using data science, AI, and cutting-edge technologies. The company is known for being an innovative product company in the Finance space with a great work culture and being a certified Great Place to Work. Discover Dollar offers great career opportunities in both Tech and Non-Tech domains. (Note: The professional fee for the internship is INR 20,000 per month, with a 10% TDS deduction applicable. The internship tenure is 6 months, and the work location is at Brigade Metropolis, Garudacharpalya, Mahadevapura, Bangalore. Remote work is not currently offered.) Role Overview: You will be responsible for transforming natural language data into useful features using NLP techniques to feed classification algorithms. Your role will involve using effective text representation techniques and classification algorithms, as well as developing and maintaining robust data processing pipelines and reproducible modeling pipelines. Understanding business objectives, developing models to achieve them, along with metrics to track progress, will be part of your responsibilities. You will need to explore data and communicate insights clearly to both non-technical and technical audiences. Analyzing experimental results, iterating, and refining models to create significant business impact will also be key aspects of your role. Additionally, you will be expected to follow strict coding standards and other software engineering best practices while promoting this culture within the organization. Key Responsibilities: - Transform natural language data into useful features using NLP techniques - Utilize effective text representation techniques and classification algorithms - Develop and maintain robust data processing pipelines and reproducible modeling pipelines - Understand business objectives and develop models to achieve them, along with tracking metrics - Explore data and communicate insights clearly to both non-technical and technical audiences - Analyze experimental results, iterate, and refine models for significant business impact - Follow strict coding standards and software engineering best practices Qualifications Required: - Bachelors Degree in a Quantitative discipline - Demonstrable project experience in Data Science/Analytics (Github links preferable) - Strong ability to write robust code in Python - Familiarity with machine learning frameworks (like Tensorflow or PyTorch) and libraries (like scikit-learn, StatsModels) - Proficient in evaluation metrics (MAPE, F1, RMSE, Confusion Matrix) - Strong problem-solving skills - Excellent verbal and written communication skills - Ability to take complete ownership of work and be self-driven Additional Company Details: Discover Dollar's mission