2025 Data Science Internship – Investment Services AI & Innovation

As a Data Science Intern at Point72, you will engage in various responsibilities including conducting R&D on GenAI solutions, evaluating multiple modeling techniques, extracting and processing data from both structured and unstructured sources, and collaborating with team members to develop prototypes of innovative tools. You'll also be documenting your findings, algorithms, and processes to support ongoing projects.

To apply for the Data Science Internship at Point72, you should be pursuing a bachelor’s or master’s degree in a quantitative discipline. A cumulative GPA of 3.5 and above, strong programming skills in Python or similar languages, and coursework in machine learning or AI are highly beneficial. Additionally, excellent problem-solving ability and good communication skills will help you succeed.

The Point72 Summer Internship Program is designed to enhance your professional development. You will work alongside experienced professionals, participate in social events and volunteer opportunities with peers, and have access to valuable mentorship. You’ll also join sessions with senior leaders who will share insights on their career paths, helping you build your network and skills.

In the Data Science Internship at Point72, strong programming skills—particularly in Python—are emphasized. Familiarity with data analytics and machine learning concepts is crucial, as is the ability to process data from varied sources, including SQL and no-SQL databases. This skill set will prepare you well to contribute to innovative projects.

The annual base salary range for the Data Science Internship at Point72 is between $75,000 - $135,000. This does not include potential overtime compensation or discretionary bonuses, and actual compensation may vary based on geographic location, work experience, education, and skills.

An effective response would showcase your fascination with AI technologies, your enthusiasm for tackling real business problems, and how Point72’s innovative culture aligns with your career aspirations within data science.

When responding, highlight a specific project, your role in it, the machine learning methods applied, and the outcomes achieved. Providing data-driven results will demonstrate your technical expertise and problem-solving skills.

Discuss your approach to extracting insights from unstructured data. Mention any tools or techniques you’ve used and how you organized and analyzed that data to derive meaningful findings.

Be sure to mention your proficiency in Python and any other relevant programming languages. Illustrate how you've used these skills in previous projects to conduct analyses or develop models.

Explain how you engage with ongoing learning, such as following AI research publications, attending workshops or webinars, and participating in online courses or coding communities focused on AI trends.

Frame your answer by using the STAR method (Situation, Task, Action, Result). Focus on the analytical process you went through, the techniques employed, and how your solution had a positive impact.

Your answer should reflect a structured approach to time management and task prioritization, perhaps mentioning the use of project management tools or strategies that help manage deadlines effectively.

Be sure to explain the basic definitions clearly, providing examples of each approach and discussing when you would apply one over the other in practical scenarios.

Discuss the significance of data privacy, bias in algorithms, and the importance of transparency in AI applications. Emphasizing ethical standards is essential in today’s AI landscape.

Articulate your passion for data science and how Point72’s focus on innovative investment strategies and technology aligns with your career goals. Highlight the unique opportunities for growth and learning offered by the firm.