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Contract Data Science Internship No Experience Jobs

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 ...

This internship is designed to provide you with valuable real-world experience in a supportive and ... Analyze and interpret data to generate insights and support decision-making. * Work on cross ...

Posting Information Posting Number PG193056EP Internal Recruitment No Working Title Lecturer of ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

This is an educational, unpaid internship designed to provide practical experience, mentorship, and exposure to real-world data science projects. Key Responsibilities * Assist in collecting, cleaning ...

... technical experience while working on real business solutions in a corporate setting. Key ... Partner with data scientists and ML engineers to make datasets model-ready, including preparing ...

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... looking for data science interns in the areas of natural language processing, natural language ... Experience and training in cutting-edge research in machine learning, natural language processing ...

The successful candidate will leverage their data science expertise in mining large datasets to ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

The successful candidate will leverage their data science expertise in mining large datasets to ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ... science, quantitative marketing, operations research, industrial engineering, etc. * Experience ...

The successful candidate will leverage their data science expertise in mining large datasets to ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ... science, quantitative marketing, operations research, industrial engineering, etc. * Experience ...

Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. * Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment.

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How much do contract data science internship no experience jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for contract data science internship no experience in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Contract Data Science Internship No Experience vs Contract Data Analyst No Experience?

AspectContract Data Science Internship No ExperienceContract Data Analyst No Experience
Required CredentialsBasic knowledge of data analysis, programming (Python/R), and statistics; often pursuing or recent graduatesSimilar; basic analytical skills, familiarity with Excel, SQL, and data visualization tools
Work EnvironmentInternship setting, often in tech, finance, or consulting firms; project-basedInternship or entry-level roles in various industries; focus on data interpretation
Employer & Industry UsageUsed by companies seeking entry-level data science support; tech, finance, healthcareCommon in business, marketing, finance sectors for data-driven decision making

Both roles are entry-level internships requiring foundational data skills. The main difference lies in focus: data science internships emphasize programming, statistical modeling, and machine learning, while data analyst internships focus on data interpretation, reporting, and visualization. Candidates should choose based on their skill set and career interests in either data science or data analysis.

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Infographic showing various Contract Data Science Internship No Experience job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Science Intern

Athenago

Wilmington, DE

Part-time

Re-posted 7 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.