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Programing Intern Jobs in Delaware (NOW HIRING)

Role Overview The Data Science Intern will help us to understand the performance of Executive ... Collaborate closely with data science, product, and engineering teams to integrate models into ...

Role Overview The Data Science Intern will help us to understand the performance of Executive ... Collaborate closely with data science, product, and engineering teams to integrate models into ...

As an Automation Engineering Intern at Cytiva (a Danaher company), you would help improve our DeltaV automation library used in cutting-edge bioprocessing technologies. This potential opportunity ...

As an Automation Engineering Intern at Cytiva (a Danaher company), you would help improve our DeltaV automation library used in cutting-edge bioprocessing technologies. This potential opportunity ...

As an Automation Engineering Intern at Cytiva (a Danaher company), you would help improve our DeltaV automation library used in cutting-edge bioprocessing technologies. This potential opportunity ...

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Programing Intern information

What is the difference between Programing Intern vs Software Developer Intern?

AspectPrograming InternSoftware Developer Intern
Required CredentialsTypically pursuing or recently completed a degree in computer science or related fieldSame as Programing Intern, often with some coursework or experience in software development
Work EnvironmentInternship programs in tech companies, startups, or IT departmentsSimilar environments, often in software firms or tech departments
Employer & Industry UsageCommon in tech, software, and IT industriesSame as Programing Intern, frequently used interchangeably
Search & Comparison IntentHigh overlap, both focus on entry-level programming roles

Both Programing Intern and Software Developer Intern roles are entry-level positions aimed at students or recent graduates interested in software development. They often require similar educational backgrounds and are used interchangeably by employers in tech industries. The main difference is often in job titles rather than responsibilities or qualifications, making them comparable options for those seeking internships in programming and software development.

Is 22 too old for an internship?

Programing internships are open to individuals of various ages, including those who are 22. Age is generally not a barrier, and many interns are recent graduates or career changers, so being 22 is considered typical and acceptable for internship roles in programming and related fields.

What kinds of projects and tasks can a Programming Intern expect to work on during their internship?

As a Programming Intern, you'll typically work on a variety of projects that align with your team's current priorities. These often include assisting with coding for new features, debugging existing software, writing and running tests, and helping with documentation. You may be paired with a mentor and participate in code reviews or team meetings, providing a great opportunity to learn best practices and collaborate with experienced engineers. The specific tasks assigned will depend on the company's tech stack and current projects, but interns are usually encouraged to ask questions and contribute ideas.

Is a 3.4 GPA good for internships?

For a programming intern position, a 3.4 GPA is generally considered acceptable, especially if complemented by strong coding skills, projects, and relevant experience. Many employers prioritize practical abilities and portfolio work over GPA, but maintaining a solid academic record can still be beneficial during the application process.

What are the key skills and qualifications needed to thrive as a Programming Intern, and why are they important?

To thrive as a Programming Intern, you need a solid understanding of programming fundamentals, problem-solving skills, and typically coursework or experience in languages like Python, Java, or C++. Familiarity with version control systems like Git, basic software development tools, and sometimes knowledge of databases or web frameworks is valuable. Strong communication, eagerness to learn, and teamwork make an intern stand out in collaborative tech environments. These skills enable interns to quickly adapt, contribute meaningfully to projects, and develop professionally in a fast-paced industry.

Is 20 an hour good for an internship?

For a programming internship, $20 an hour is generally considered competitive, especially for entry-level positions or those requiring basic coding skills. Internships often pay less than full-time roles, but rates can vary based on location, company size, and required skills such as proficiency in specific programming languages or tools.

What are Programming Interns?

Programming interns are students or recent graduates who work in a temporary position within a company to gain practical experience in software development. Their main responsibilities often include writing code, debugging applications, collaborating with development teams, and assisting with software testing. This internship allows them to apply their academic knowledge in real-world settings and develop new technical and soft skills. Programming interns typically work under the supervision of experienced developers and may contribute to ongoing projects or develop new features. The experience gained during a programming internship can be invaluable for building a career in software engineering.

Is $30 an hour good for an intern?

For a programming intern, $30 an hour is considered a competitive rate in many regions, especially for those with some coding experience or specialized skills. Intern wages vary by location, industry, and company, but this rate generally exceeds the average internship pay and reflects a higher level of skill or responsibility.
What are the most commonly searched types of Programing jobs in Delaware? The most popular types of Programing jobs in Delaware are:
What cities in Delaware are hiring for Programing Intern jobs? Cities in Delaware with the most Programing Intern job openings:

Data Science Intern

Athenago

Wilmington, DE

Part-time

Posted 6 days ago


Job description

At Athena, we empower possibility through transformative delegation. True leaders reflect on what they want and map the path to get there. We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ongoing support throughout the journey. The result: 10x more leverage, more time, and a greater impact.

We are on a mission to build the best delegation platform in the world, leveraging Human+AI to provide superior experiences for delegating complex tasks.

Role Overview

The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and clients, delivering tailored recommendations based on robust data insights. You will actively contribute to enhancing our delegation platform by leveraging predictive modeling, data analytics, and optimization techniques.

Responsibilities
  • Build and refine matching models to evaluate Athena's Executive Partners (XPs) and clients, ensuring optimal pairings between them based on data insights.

  • Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover trends and generate actionable recommendations.

  • Collaborate closely with data science, product, and engineering teams to integrate models into production systems.

  • Present findings through clear reports, visualizations, or dashboards that inform business decisions and improve the client-XP matching process.

  • Support continuous model optimization and validation efforts.

Qualifications
  • Currently pursuing a graduate degree or senior undergraduate status in Data Science, Computer Science, Statistics, or related fields.

  • Proficiency in programming languages and data tools such as Python (with libraries like pandas, scikit-learn) and SQL for data manipulation.

  • Strong foundation in statistics and machine learning concepts (regression, classification, clustering) and familiarity with building predictive models.

  • Experience working with datasets - cleaning data, feature engineering, and using data visualization tools to present insights.

  • Excellent problem-solving abilities and attention to detail, with the ability to interpret data to make logical recommendations.

Preferred Qualifications
  • Familiarity with machine learning frameworks or libraries (e.g. TensorFlow, PyTorch, scikit-learn) and experience training or fine-tuning models.

  • Prior exposure to recommendation algorithms or matching systems through coursework or projects.

  • Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake).

  • Previous internship or project experience demonstrating practical data science applications.

  • Understanding of human resource or matchmaking domains (e.g. matching candidates to roles or services to clients) is a plus.

Benefits
  • Mentorship & Training: You will receive guidance from experienced data scientists and engineers. Expect one-on-one mentorship, regular feedback, and access to learning resources to accelerate your growth.

  • Hands-On Experience: Work on real-world projects that have direct impact on Athena's services. You'll have ownership of meaningful tasks and contribute code to production-level systems, building your portfolio.

  • Inclusive Culture: Experience Athena's collaborative and inclusive culture firsthand. Interns participate in team meetings, social events, and all company perks - you'll be treated as an equal team member throughout your internship.

  • Path to Opportunities: A successful internship can pave the way to future roles at Athena.com. Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.