Job Description
Bright Money is looking for a curious and analytical Data Science Intern to join our Data Sciences team. The role involves working with real-world data to identify patterns, generate insights, and support data-driven decision-making. You’ll get hands-on experience with data analysis, machine learning, and statistical modeling while collaborating with cross-functional teams to solve business and product problems. This is an opportunity to learn, experiment, and contribute to impactful Data Science initiatives at Bright.
Key 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 & Experience
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.
Qualifications
Pursuing/Completed a degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.