Bright Money Off Campus Freshers Internship 2024 Hiring Details:
We are Bright:
Bright is a consumer fintech that helps Americans get out of debt, with the power of data science and machine learning. It is a mobile app that combines all the tools and tech needed to manage and get rid of debt. Bright’s tools include credit score building, automated debt paydown plans, financial planning, budget planning tools, and refinance loans. It works with credit cards, student loans and car loans. Bright has had 6x growth in the last year, with 300,000 users, and more than 100,000 ratings and reviews.
Job Profile: Data Science – Intern
Degree Required: B.E/B.Tech/B.Sc
Experience Required: Freshers
CTC: Best in Industry
Work Location: Bangalore
Responsibilities:
- Assist in collecting, cleaning, and preprocessing data from various sources to ensure data quality and integrity.
- Perform exploratory data analysis to uncover insights and trends that inform business decisions.
- Support the development and implementation of machine learning algorithms and predictive models.
- Collaborate with cross-functional teams to understand project requirements.
- Assist in the creation of data visualizations and reports to communicate findings to stakeholders.
- Stay updated on the latest advancements and best practices in data science and contribute innovative ideas to ongoing projects.
Requirements:
- Pursuing/Completed a degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
- Strong understanding of machine learning algorithms and techniques.
- Strong proficiency in programming languages such as Python or R.
- Familiarity with data manipulation and analysis libraries/packages (e.g., Pandas, NumPy, Scipy).
- Strong understanding of statistical concepts and techniques.
- Ability to work in a dynamic and fast paced team environment.
Preferred Qualifications:
- Knowledge of SQL or other database querying languages.
- Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
- Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
- Familiarity with Gen AI technologies is a plus.
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Note: Shortlisted candidates will receive an email/call for the further interview process.