Data Science Intern
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Job Description
About the company
Forrester is a company that focuses on working on trailblazing, mission-critical problems faced by business and technology leaders. They aim to empower talented individuals to perform at their best daily, fostering a community of smart people and vibrant voices. Their success is driven by curiosity, courage, and customer obsession, encouraging boldness at work. Forrester emphasizes continuous learning and provides tools, support, and opportunities for career growth. They are committed to diversity and inclusion, welcoming people from all backgrounds and perspectives, and are an Equal Employment Opportunity Employer.
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Job Description (Detailed)
This is for a Data Science Intern role at Forrester.
About the Role:
The Data Science Intern will be a motivated and detail-oriented individual. This is a hands-on role offering real-world experience in applying AI and data science to solve impactful problems. The successful candidate will work closely with engineers and data scientists to support the design, development, and deployment of data-driven solutions.
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).
• The 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.
• 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.
