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Sports Data Science Internship Jobs in Delaware (NOW HIRING)

... sport management experience in a professional sports league setting. By working on various ... Data Provider. * Execute on-page and on-site SEO best practices as directed. * Develop ideas for ...

... sport management experience in a professional sports league setting. By working on various ... Data Provider. * Execute on-page and on-site SEO best practices as directed. * Develop ideas for ...

... sport management experience in a professional sports league setting. By working on various ... Data Provider. * Execute on-page and on-site SEO best practices as directed. * Develop ideas for ...

... sport management experience in a professional sports league setting. By working on various ... Data Provider. * Execute on-page and on-site SEO best practices as directed. * Develop ideas for ...

$13 - $17.75/hr

Freddie Mac's University program offers summer internships and full-time opportunities in Accounting, Business, Communications, Investments & Capital Markets, Computer Science, Data/Quant Analytics ...

$14.25 - $19/hr

Freddie Mac's University program offers summer internships and full-time opportunities in Accounting, Business, Communications, Investments & Capital Markets, Computer Science, Data/Quant Analytics ...

New

$14.50 - $19.75/hr

Freddie Mac's University program offers summer internships and full-time opportunities in Accounting, Business, Communications, Investments & Capital Markets, Computer Science, Data/Quant Analytics ...

New

$14.75 - $19.75/hr

Freddie Mac's University program offers summer internships and full-time opportunities in Accounting, Business, Communications, Investments & Capital Markets, Computer Science, Data/Quant Analytics ...

Showing results 21-40

Sports Data Science Internship information

What is a sports data science internship?

A Sports Data Science Internship is a temporary position that allows students or recent graduates to gain hands-on experience applying data science techniques to sports-related problems. Interns typically work with data from games, athletes, or teams to analyze performance, develop predictive models, and support decision-making in sports organizations. This role often involves using programming languages like Python or R, working with large datasets, and collaborating with coaches or analysts. Interns may also assist in visualizing data and presenting insights to help improve team strategies or player development.

What are the key skills and qualifications needed to thrive as a sports data science intern, and why are they important?

To thrive as a Sports Data Science Intern, strong quantitative skills, a background in statistics or data science, and experience with sports analytics are generally required. Familiarity with programming languages such as Python or R, data visualization tools, and knowledge of sports data platforms or databases is typical. Strong problem-solving abilities, attention to detail, and effective communication help interns stand out in team settings. These skills are crucial for analyzing complex sports data, generating actionable insights, and effectively conveying findings to coaches and decision-makers.

What types of projects or tasks can I expect to work on during a sports data science internship?

As a Sports Data Science Intern, you can expect to work on projects such as analyzing player performance data, building predictive models for game outcomes, and cleaning large datasets for use in analytics. Interns often collaborate with data scientists, coaches, and performance analysts to translate raw data into actionable insights. You'll likely use programming languages like Python or R and get exposure to sports-specific analytics software, providing valuable hands-on experience that can help launch your career in sports analytics.

What is the difference between Sports Data Science Internship vs Sports Data Analyst?

AspectSports Data Science InternshipSports Data Analyst
Required CredentialsRelevant coursework, basic programming skillsDegree in statistics, data science, or related field
Work EnvironmentInternship programs, sports teams, analytics companiesFull-time roles in sports organizations, analytics firms
Employer & Industry UsageEntry-level, training-focused positions in sports analyticsProfessional, ongoing data analysis roles in sports

The Sports Data Science Internship is an entry-level, training-focused position designed for students or recent graduates gaining experience in sports analytics. In contrast, a Sports Data Analyst is a full-time professional role requiring more experience and specialized skills. Internships provide foundational exposure, while analysts handle ongoing data projects in sports organizations.

What are popular job titles related to Sports Data Science Internship jobs in Delaware? For Sports Data Science Internship jobs in Delaware, the most frequently searched job titles are:
What cities in Delaware are hiring for Sports Data Science Internship jobs? Cities in Delaware with the most Sports Data Science Internship job openings:
Infographic showing various Sports Data Science Internship job openings in Delaware as of August 2026, with employment types broken down into 14% Internship, 52% Full Time, and 34% Part Time. Highlights an 95% In-person, and 5% Hybrid job distribution.

Intern - Predictive Sales Prospecting

Agilent

Wilmington, DE • On-site

$30 - $32/hr

Full-time

Re-posted 14 days ago


Agilent Technologies rating

8.2

Company rating: 8.2 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

88th of 538 rated manufacturers


Job description

Job Description

This internship program is designed to provide data analytics support for various programs, projects, and initiatives across the Americas. It is intended to help identify and leverage leading analytics tools and technologies, including artificial intelligence (AI) and large language models (LLMs), to streamline sales enablement and channel strategies, improve sales productivity, and drive incremental revenue growth.

Key Responsibilities:

Predictive Sales Prospecting & Data Insights

  • Analyze customer and market data to identify highvalue prospects and uncover sales opportunities.

  • Leverage AI, machine learning, data analytics, and other automation tools to enhance prospecting strategies and improve targeting accuracy.

  • Develop data-driven insights to support decision-making across sales and marketing teams.

AI Tools & Technology Evaluation

  • Explore emerging AI and analytical tools and assess their potential applications within sales workflows.

  • Support implementation of AI-driven solutions to improve efficiency and effectiveness of prospecting efforts.

Data Management & Analysis

  • Identify and consolidate internal and external data sources to support prospecting and reporting initiatives.

  • Build and maintain dashboards, reports, and queries to monitor key performance metrics.

  • Apply statistical methods to analyze structured and unstructured datasets and identify patterns, trends, and anomalies.

Sales Enablement & Reporting

  • Create reports and visualizations that communicate insights clearly to stakeholders.

  • Partner with cross-functional teams to translate data findings into actionable sales strategies.

  • Support forecasting efforts and contribute to strategic and tactical planning.

Technical Tools & Collaboration

  • Utilize tools such as SQL, Python, R, and business intelligence platforms (e.g., Power BI, Power Apps, Power Automate, Tableau, Spotfire, QLIK, etc.) to develop analytics solutions.

  • Provide support and guidance on data tools and methodologies to team members.

  • Maintain data integrity and ensure compliance with relevant standards and best practices.

Qualifications

Who we're looking for

You are currently in your sophomore or junior year at an accredited university, pursuing a degree in Data Science, Data Analytics, Business Analytics, Computer Science, Artificial Intelligence, or a related field, and are excited to apply advanced analytics to real-world business challenges.

What you bring

  • Strong analytical and problem-solving skills with the ability to work with complex datasets.

  • Foundational knowledge of programming languages and data analysis tools.

  • Desire to learn business automation tools such as Power BI, Power Automate, Power Apps, etc.

  • Strong skills and/or interest in AI, machine learning, and data-driven decision-making in a business context.

  • Proficiency with Microsoft Office tools (Excel, PowerPoint, Word, Outlook).

  • Clear and confident communication skills, both written and verbal.

  • A collaborative mindset and ability to thrive in a fast-paced, team-oriented environment.

Work Conditions & Schedule

  • Duration: At least 12 months, with a preference for candidates entering their junior year who may be available for up to two years, with the potential to convert to a full-time hire.

  • Start Date: Targeted for June 2026.

  • Schedule: Full-time during summer (40 hours per week); part-time during the school year (10-20 hours per week).

  • Work Model: Onsite - Wilmington, DE

  • Agilent provides a laptop and necessary equipment for the internship term.

Compensation & Benefits

  • Hourly Pay: $30.00-$32.00 (Our pay ranges are determined by role, level, and location.)

  • Paid holidays and medical benefits eligibility.

  • Professional development sessions, workshops, and mentorship.

  • Exposure to sales, marketing, manufacturing, product development, and technical support functions.

  • Access to Agilent Employee Networks (Women@Agilent, Council of Black Employees, Rainbow Spark, La Chispa, Veterans, Asian Pacific Islanders, and more).

This position is part-time during the academic semester and full-time over the summer.

The intern pay rate for this position is $30.00-$32.00/hour plus eligibility for paid holidays and medicalbenefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay isdetermined by work location and additional factors, including job-related skills, experience, and relevanteducation or training. During the hiring process, a recruiter can share more about the specific pay rangefor a preferred location

Additional Details

This job has a full time weekly schedule. Applications for this job will be accepted until at least June 4, 2026 or until the job is no longer posted.Agilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_posting@agilent.com or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.Travel Required: OccasionalShift: DayDuration: 9-12 MonthsJob Function: General

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