Data Scientist Intern

Candidates applying for this position are required to complete a pre-screening behavioral assessment form as part of the application process. Without this assessment, candidates will not be considered for the role.

As a potential candidate, you should be a pre-final year student in Statistics/Math, Computer Science, Finance/Economics, or a related quantitative field. Ph.D. candidates are strongly encouraged to apply. Proficiency in using ML libraries like Scikit-learn, caret, NLTK, or spark MLlib is essential. You should possess excellent software skills, particularly in Python's Data Science stack, and be capable of building statistical and ML models to analyze historical performance and devise predictive solutions. Data Engineering experience or coursework is advantageous, along with the ability to integrate diverse data sources. Proficiency in SQL, relational databases, MS-Excel, data visualization tools like Power BI and Tableau, UNIX Operating System, Docker, and Git is preferred. Strong analytical, design, problem-solving, and troubleshooting skills are necessary, along with the ability to work independently without constant supervision.

In this role, you will conduct empirical research under senior researchers" guidance using public and proprietary data, perform data gathering, cleaning, and modeling tasks, and maintain datasets. Your responsibilities will also include data preparation, testing, and developing visual aids to facilitate decision-making. Additionally, you will utilize statistical techniques to derive analytic insights, hypotheses, and recommendations, conduct quantitative analyses using Python and SQL, diagnose and resolve production issues, and collaborate with development teams to enhance the company's technology suite.

The ideal candidate is highly quantitative, reliable, independent, and capable of multitasking. Transparency, collaboration, strong communication skills, self-motivation, ownership of projects, passion for product improvement, and a willingness to experiment with new tools and techniques are essential qualities. Pursuing or completing a Ph.D./Masters in Finance, Economics, or Business, prior experience in building quantitative models, curiosity about Finance, and internships in Financial Services are desirable but not mandatory.

We offer flexible working hours and a competitive stipend/salary. Candidates from top schools at Pune University, Mumbai University, NIT, IISER, TIFR, IIT, ISI, or leading schools in the USA/UK will be given preference.

Please ensure your assignment is submitted as a zip attachment via email, adhering to the guidelines provided. Plagiarism from AI platforms such as ChatGPT is strictly prohibited and will result in disqualification.,