Search for Data Science Intern roles in Chicago, with a focus on machine learning, requiring proficiency in Python and SQL, suitable for master's degree students, and offering flexible work arrangements.

Okay, I've searched for Data Science Intern roles in Chicago, focusing on machine learning positions that require proficiency in Python and SQL, suitable for master's degree students, and with flexible work arrangements. I found 27 relevant internships for you.

Data Science Intern

Chicago, IL

Python

SQL

Master

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Data Science Intern role at Live Nation offers a unique opportunity to engage with analytics, machine learning, and AI in the vibrant context of the live entertainment industry. The candidate is fundamentally hired to manipulate and analyze concert and venue data effectively. They will be responsible for designing and maintaining AI applications, particularly focused on retrieval-augmented generation (RAG) pipelines and leveraging large language models (LLMs). As part of this role, they will build complex SQL queries and participate in model production, necessitating strong software development skills and the ability to work collaboratively with other teams. Success in this position involves demonstrating a practical understanding of machine learning principles, as well as innovation and resourcefulness in problem-solving. Interns will likely face challenges related to data integration and model deployment, requiring keen judgment and adaptability to thrive in a fast-paced, performance-driven environment. Over the first 6–12 months, metrics of success may include the effectiveness of data models deployed and contributions to significant projects impacting the concert and venue operations of Live Nation.

Company Analysis:

Live Nation Entertainment occupies a dominant position in the global live entertainment industry as a leader in ticketing and event promotion. Their fast-paced, innovation-driven culture highlights a commitment to technological advancements in enhancing fan engagement and client relations. The company's emphasis on a fun work environment and progressive benefits—including perks for live music enthusiasts—aligns with its mission to connect people through memorable experiences. Given the dynamic nature of the entertainment industry, this role is crucial for the company’s strategic goal of leveraging data to optimize operations and enrich customer experiences. The role of the Data Science Intern sits at the intersection of data analysis and operational strategy, offering significant visibility within the organization as they partner with Data Scientists and engineering teams. The intern's contributions directly support Live Nation's concert division's objectives, promoting growth and efficiency across multiple teams while fostering personal and professional development opportunities.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to analyze complex data to derive insights. What approach did you use?
Describe an experience where you needed to build a machine learning model. What challenges did you face and how did you overcome them?
Can you provide an example of how you've worked collaboratively in a team to solve a problem?
Share an instance when you had to debug or troubleshoot your code. What steps did you take?
What interests you the most about working with large language models and their applications in business?
How would you approach designing an AI application for concert analytics?
What method would you use to compile and analyze venue data using SQL?
Imagine you are tasked with implementing a new machine learning model at Live Nation. How would you ensure its successful deployment?
If you encounter conflicting opinions when integrating your model with another team’s processes, how would you handle the situation?
Why are you excited to work at Live Nation, specifically within the live entertainment industry?
How do you see your personal values aligning with Live Nation's mission to enhance live music experiences?
What do you believe the most important quality is for someone in a data science role at a quickly evolving company like Live Nation?
What questions do you have about how data science teams at Live Nation collaborate with other departments?
Could you elaborate on your experience with MLOps and how you envision applying those skills here?
What motivates you to work in data science, particularly in the context of the live entertainment sector?

Job Details

Overview Company

Data Science Intern

$20/h-$25/h

Lensa

16 days ago

Highlight

OnsiteInternEntry

Summary

Live Nation is seeking a Data Science Intern to join their team in Chicago, IL. The role involves supporting analytics, machine learning, and AI initiatives.

About the Role

As a Data Science Intern, you will partner with Data Scientists to design, implement, and maintain retrieval-augmented generation (RAG) pipelines and AI applications powered by large language models (LLMs). You will conceptualize, build, and implement Machine Learning models within the Databricks platform, build complex SQL queries, perform ad-hoc statistical/exploratory analysis, and collaborate with engineering and IT teams to productionize models and integrate with internal business systems.

About You

Required:

Currently pursuing a Master’s degree in a relevant field, such as data science, computer science, statistics, or business analytics.
Proficiency in Python.
Proficiency in SQL.
Experience working with LLMs, including prompt-engineering and RAG pipelines.
Experience using statistical modeling and machine learning to solve business problems.
Experience working with large and complex datasets.
Thorough understanding of machine learning principles and experience using machine learning algorithms.

Preferred:

Experience with MLOps and model deployment pipelines.

Benefits

Free concert tickets.
Dog-friendly offices.
Progressive benefits like student loan reimbursement and adoption/fertility support.

Lensa

What if we could take the search out of job search? This is the question Lensa has been answering since launching in San Francisco, California in August 2016. Using machine learning, we instantly provide companies with candidates and match professionals with positions that fit their skills, goals, personalities, and needs. How does it work? Lensa applies complex algorithms that identify the skills needed to succeed on a given job. Candidates can play computer games that assess their work style, thus gaining insight into their strengths while unlocking career opportunities. The result: job search that puts people first while reducing the time and cost of talent acquisition.

Lensa passed 10 million job seeker registrations in 2019, making the com- pany one of the premier career platforms.

With teams in multiple U.S. locations and a 60-strong crew of developers and data scientists at its R & D headquarters in Europe, Lensa is working every day to share its transformative career technology with the world.

Chicago, IL