Lanco Group of Companies is seeking a motivated AI Analyst Intern to support their artificial intelligence labs initiative and data mining efforts. The role involves assisting in data preprocessing, analytics, and business intelligence, while collaborating with various teams to support AI solution development and innovation.
Responsibilities
Assist in data collection, cleaning, and preprocessing tasks for best AI fit analysis
Support the development, testing, and evaluation of different AI solutions
Research on how to create visuals and dashboards using tools like Python (Matplotlib, Seaborn), Power BI, or Tableau
Collaborate with data analysts, engineers, and business analysts to understand project requirements
Contribute to documentation of methodologies, model performance, and technical processes
Conduct research on AI trends, tools, and industry applications to support ongoing innovation
Perform quality checks and validation of AI outputs and data pipelines
Create a final summary report after the end of the Internship program with best practices and recommendations
Qualification
Required
Currently pursuing a bachelor's or minor degree in Computer Science, Data Science, Engineering, Statistics, or a related field
Good understanding of data structures, algorithms, and statistical concepts
Experience with Python or R; familiarity with libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch is a plus
Basic knowledge of SQL and database concepts
Excellent analytical thinking and problem-solving abilities
Strong communication and teamwork skills
Curiosity and a willingness to learn quickly in a fast-paced environment
Preferred
Prior AI Project work performed at a school or university
Familiarity with cloud platforms (AWS, Azure, GCP) or operating systems
Prior coursework or projects related to machine learning or AI
Benefits
Mentorship from experienced professionals in AI and Data Science.
Real-world project experience with measurable impact.
Networking opportunities with tech and analytics teams.
Possible pathway to a full-time role upon graduation.
In 1954, from his home in a south suburb of Chicago, John Lanigan envisioned a better way.
