Description
Data Scientist Intern
Department: Client Services
Employment Type: Internship
Location: United States, California, United States, Remote
Come Join Intermedia’s Cloud Academy Summer Internship Program
Are you looking for a summer internship with a company where you can genuinely learn and grow? Where you can DO MEANINGFUL WORK and GAIN THE REAL-WORLD SKILLS that can help you START YOUR CAREER? At Intermedia, we believe in a CULTURE OF GROWTH, MENTORSHIP AND COLLABORATION within our Cloud Academy Internship Program and strive to bring on the best and brightest talent from a variety of colleges, universities and educational programs. The Cloud Academy Program is also a great way to transition into full-time roles within the organization.
We are currently seeking students for our 2026 Cloud Academy Internship Program.
30% of our interns are hired into full-time positions with Intermedia. If you are a graduating student, this is a fantastic opportunity to find your path forward!
From day one, you will be working alongside other talented interns, you’ll partner with peers and work closely with leaders as you grow in your role. You’ll have the opportunity to dive deep into a variety of different projects and gain exposure to the innerworkings of the business. We also offer robust sessions with cross functional leaders, HR and Marketing designed to help you grow your personal branding, create an elevator pitch and even design your resume. Our interns get to know all levels within Intermedia and even interact with our down to earth and supportive senior leadership team!
About The Role:
We are seeking a highly motivated Data Scientist Intern who is passionate about using data analysis and predictive modeling to optimize revenue and reduce revenue churn. As an intern, you will work with our sales, support, analytics, and development teams to collect and analyze customer data from disparate sources such as Salesforce, proprietary billing systems, Oracle service cloud, and other databases. You will develop predictive models and provide insights and recommendations to reduce customer churn and improve revenue. You will gain hands-on experience in a fast-paced environment, working with real-world data.
What you will be doing:
- Collaborate with sales, support, analytics, and development teams to understand customer behavior and identify patterns and trends related to revenue churn.
- Collect and integrate data from disparate sources such as Salesforce, proprietary billing systems, Oracle service cloud, and other databases.
- Develop and implement predictive models using machine learning and statistical techniques to predict customer churn and revenue loss.
- Work with large datasets using SQL and other database systems.
- Conduct A/B testing and other experiments to validate and refine models.
- Document and present findings and recommendations to the teams
What you will bring to the role:
- Currently pursuing a Master's degree in Computer Science, Mathematics, Statistics, or a related field
- Experience with statistical analysis and modeling techniques
- Familiarity with machine learning libraries and frameworks such as scikit-learn, TensorFlow, or PyTorch
- Knowledge of database systems and SQL
- Experience working with disparate data sets from multiple sources.
- Strong problem-solving skills and attention to detail
- Ability to work independently and as part of a team.
- Excellent communication skills and ability to present findings to non-technical stakeholders.
Preferred Qualifications:
- Prior experience with data analysis, predictive modeling, or A/B testing
- Familiarity with cloud computing platforms such as AWS, Azure, or GCP
- Understanding of software development best practices, including version control and code review
Diversity, Inclusion, and Equal Opportunity
We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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