Data Science Intern

Job Description

About Company

Lensa is a career site that assists job seekers in finding jobs within the US. It operates as a platform that promotes jobs on LinkedIn on behalf of its direct clients, recruitment advertising agencies, and marketing partners. Lensa itself is not a staffing firm or agency and does not directly hire for the jobs it advertises. For this specific role, Lensa partners with DirectEmployers to promote the job for Forrester. When users click “Apply Now” or “Read more” on Lensa, they are redirected to the external job board or employer site, and any information collected there is subject to that site’s terms and privacy notice.

Forrester is an organization focused on addressing trailblazing, mission-critical problems faced by business and technology leaders. They are committed to empowering talented individuals to perform at their best daily, fostering a community of smart people and vibrant voices who collaborate for the benefit of their clients and each other. Their success is driven by curiosity, courage, and customer obsession, encouraging boldness and innovation. Forrester emphasizes continuous learning and provides its employees with the necessary tools, support, and opportunities for career growth. They are an Equal Employment Opportunity Employer and, as a federal contractor, encourage veterans and individuals with disabilities to apply.

Job Description, Detailed

About This Role
This is a Data Science Intern position. The successful candidate will be a motivated and detail-oriented individual working closely with engineers and data scientists. The primary purpose of this role is to support the design, development, and deployment of data-driven solutions. It is a hands-on role designed to provide real-world experience in applying AI and data science to solve impactful problems.

Key Responsibilities:
• Assist in collecting, cleaning, and analyzing large datasets.
• Fully engage in all phases of the software development lifecycle (SDLC).
• Support the development and evaluation of machine learning models.
• Perform exploratory data analysis (EDA) to uncover insights.
• Collaborate with cross-functional teams, including engineering, product, and design.
• Drive innovation by staying current with industry trends and best practices in AI and data science.
• Conduct performance benchmarking across the technology stack.
• Document optimization techniques and performance improvements.
• Assist in developing testing methodologies to validate performance enhancements.

Job Requirements (Skills and Experience):
• Hands-on experience in object-oriented design, data structures, and algorithms using modern languages such as Python, Java, or JavaScript.
• Proficiency in testing, launching, and maintaining solutions using ML/AI algorithms and tools, natural language processing (NLP), or large language models (LLMs).
• Experience in developing cloud-native applications on public clouds (e.g., AWS).
• Ability to write high-quality, efficient, and easily testable code.
• Experience conducting software analysis, testing, and debugging code.
• Ability to come up with smart and innovative approaches and implement newer technologies.
• Outstanding problem-solving skills and an ability to work collaboratively within cross-functional teams.
• Excellent communication skills to convey technical concepts effectively to diverse audiences.
• Basic understanding of RESTful API design principles is a must.
• Familiarity with version control systems (Git).
• Knowledge of performance profiling tools is a plus.

Minimum Qualifications:
• Currently pursuing or recently completed a bachelor’s or master’s degree in data science, computer science, artificial intelligence, statistics, mathematics, or a related field.
• Strong programming skills in Python, Java, or R.
• Familiarity with machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or similar.
• Experience with data manipulation tools (Pandas, NumPy) and SQL.
• Solid understanding of statistics, linear algebra, and probability.
• Ability to communicate technical concepts clearly and effectively.