Job Description:

Position Title: Paid Intern

Location: San Diego, CA

Company: Point Predictive

About the Company:

Point Predictive is an industry-leading AI technology company specializing in the development and deployment of machine learning scoring models for banks and lenders. Our innovative Ai+Ni (Artificial and Natural Intelligence) solutions help financial institutions identify truthful and reliable information in loan applications, reducing the need for intensive data verification. We serve the automotive, mortgage, retail, personal lending, and student loan finance sectors, leveraging big data and advanced analytics to combat fraud and misrepresentation.

About the Role:

Point Predictive is seeking a motivated and enthusiastic Paid Intern to join our team. This internship offers a unique opportunity to gain hands-on experience in a cutting-edge AI technology company. The intern will work closely with our data scientists, engineers, and project managers, contributing to real-world projects that impact our clients and the financial services industry.

Responsibilities:

Data Analysis and Research
Assist in data collection, cleaning, and analysis.
Conduct research on industry trends, emerging technologies, and competitive landscape.
Support the development and validation of machine learning models.
Project Support
Aid in the planning and execution of implementation projects.
Collaborate with cross-functional teams to ensure project milestones are met.
Prepare project documentation and presentations for internal and client meetings.
Technical Assistance
Provide technical support to the engineering and data science teams.
Assist in testing and troubleshooting software applications and solutions.
Participate in code reviews and contribute to software development tasks.
Learning and Development
Engage in continuous learning through company-provided resources and training.
Attend team meetings, workshops, and seminars to enhance skills and knowledge.
Seek feedback and mentorship from experienced professionals in the field.

Qualifications:

Bachelor’s or Currently enrolled in a Master’s degree program in Computer Science, Data Science, Engineering, Business, or a related field.
Strong analytical and problem-solving skills.
Basic understanding of AI, machine learning, and data analytics is preferred.
Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint).
Excellent communication and interpersonal skills.
Ability to work independently and as part of a team.
Eagerness to learn and a proactive attitude.

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