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Data Scientist Intern - Analyze data, build predictive models, and extract insights for AI product development
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Data Scientist Intern
Rackspace
Job Location
Job Summary
We are seeking a Data Scientist Intern to support our AI product development by analyzing data, building predictive models, and extracting insights. As a Data Scientist Intern, you will work with real-world datasets, collaborate with AI engineers, and contribute to cutting-edge machine learning applications. You will have the opportunity to explore, preprocess, and analyze large datasets to derive meaningful insights, build and evaluate machine learning models for AI-driven applications, and communicate findings through reports, dashboards, and visualizations. Our team is passionate about curiosity, ownership, and a drive to improve, and we offer flexible remote work options, $4,000/year travel stipends, and equity in a fast-growing company. If you are a recent graduate in Data Science, Computer Science, Physics, or related fields with experience working with Python, SQL, and machine learning libraries, we encourage you to apply for this role.
About the Role
We are seeking a Data Scientist Intern to support our AI product development by analyzing data, building predictive models, and extracting insights. You will work with real-world datasets, collaborate with AI engineers, and contribute to cutting-edge machine learning applications. Experience working with LLMs and integrating applications with AI agents is highly desirable.
Key Responsibilities
- Explore, preprocess, and analyze large datasets to derive meaningful insights.
- Build and evaluate machine learning models for AI-driven applications.
- Work on feature engineering and model optimization techniques.
- Collaborate with engineers to deploy models into production.
- Communicate findings through reports, dashboards, and visualizations.
- Work on projects involving LLMs and AI agent integrations.
Qualifications
- Recent graduate in Data Science, Computer Science, Physics, or related fields.
- Experience with Python, SQL, and machine learning libraries (scikit-learn, TensorFlow, PyTorch, etc.).
- Strong understanding of statistics, data analysis, and feature engineering.
- Ability to interpret and communicate complex data-driven insights.
- Knowledge of cloud computing and big data frameworks is a plus.
- Experience working with LLMs and AI agent integration is preferred.
- Strong preference for candidates with experience in OpenAI and Azure environments.
- Full time availability
Why Join Us?
- Hands-on experience with real-world data science projects.
- Work with a team of AI and machine learning experts.
- Exposure to state-of-the-art AI technologies and applications.
- Potential pathway to a full-time position upon completion.
*LI-GP1
"Remote postings are limited to candidates residing within the country specified in the posting location"
About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
