Intern, Data Science, AI and Business Analytics

Coherent

1d•Onsite

About The Position

Job Summary The Financial Planning & Analysis team is seeking a driven Data Science, AI, and Business Analytics Intern to join our team for Summer 2026. The intern will support the development of data-driven solutions by applying analytics, machine learning, and generative AI techniques to business problems. This role involves working with large datasets, building predictive models, and creating interactive dashboards to generate insights and support decision-making. The intern will collaborate with cross-functional teams to transform business requirements into analytical solutions and improve data models and reporting efficiency. At Coherent, interns are valued members of our team and have the opportunity to make meaningful contributions from day one. In addition to hands-on project experience, our internship program includes opportunities to connect with fellow interns and colleagues across the organization through virtual and in-person networking events, team-building activities and more. Interns are expected to actively participate in these events as part of their professional development and to fully immerse themselves in our collaborative and innovative culture.

Requirements

Knowledge of Advanced Predictive Analytics including an exposure to areas such as AI, Deep Learning, Intelligent Bots, Reinforcement Learning, Neural Networks.
Experience in Data Acquisition/Integration
Knowledge of data science technologies such as SQL, R, Octave, Python, pandas, scipy, numpy, matplotlib, etc.
Data Science visualization tools (Tableau, PowerBI, etc.) as well as traditional Reporting/BI tools (Excel).
Knowledge of Advanced Predictive Analytics including an exposure to areas such as AI, Deep Learning, Intelligent Bots, Reinforcement Learning, Neural Networks.
Knowledge Exploratory data analysis, statistical analysis like sampling, hypothesis testing, central limit theorem, Machine Learning, Deep learning regression and classification models
Working knowledge in Generative AI tech stack (Prompt engineering, ChatGPT, Llama, Gemini, RAG etc)
Experience in Python programming language
Experience with Relational and non-relational databases
Excellent written and verbal communication.
Team-oriented but able to work independently when needed.
Adaptable and eager to learn in a fast-paced environment.
Attention to detail and time management.

Responsibilities

Learn the Business Process Flow and Data Flow.
Analyze the business requirements and convert the requirement into Machine learning/Generative AI/Business Analytics problem
Identify the needed data features and labels
Extract, Transform, Integrate data from multiple data sources into a Data Model
Transforming large amounts of data into compelling visual stories to facilitate analysis and decision making.
Using large proprietary datasets to conduct training sets and correlation.
Develop dashboards with rich interactive data visualizations to illustrate the value of bringing the data.
Predict outcomes based on rigorous experimental design and statistical methods.
Building related models by using Machine learning and Generative AI techniques
Assist in benchmarking and quantifying improvements in Generative AI models.
Regular maintenance of established processes and reports
Partner with team to optimize data models, improving report speed and efficiency by refining data structures