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Full Time Data Science Intern Jobs (NOW HIRING)

WebstaurantStore

Data Scientist - Marketing

Lititz, PA · On-site +1

Job Summary Webstaurant Store, the world's largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ...

WebstaurantStore

Data Scientist 3

Lititz, PA · On-site +1

$130K - $150K/yr

Job Summary Webstaurant Store, the world's largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ...

WebstaurantStore

Sr Data Scientist

Lititz, PA · On-site +1

Job Summary Webstaurant Store, the world's largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ...

WebstaurantStore

Data Scientist - Pricing

Lititz, PA · On-site +1

Job Summary Webstaurant Store, the world's largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ...

The GEO Group

DATA INTELLIGENCE INTERN

Boca Raton, FL · On-site

$20/hr

Benefits Information Full-time employees will enjoy a competitive benefits package with options for ... Currently pursuing a degree in Data Analytics, Data Science, or a Technology related field.

The Hartford

Director of Data Science

Charlotte, NC · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Support hiring and onboarding, including intern and actuarial student rotations. Strategic ...

The Hartford

Director of Data Science

Hartford, CT · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Support hiring and onboarding, including intern and actuarial student rotations. Strategic ...

The Hartford

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Support hiring and onboarding, including intern and actuarial student rotations. Strategic ...

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How much do full time data science intern jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for full time data science intern 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 are the key skills and qualifications needed to thrive as a Full Time Data Science Intern, and why are they important?

To thrive as a Full Time Data Science Intern, you need a solid background in statistics, programming (typically Python or R), and a relevant academic degree such as in computer science, mathematics, or data science. Familiarity with data analysis tools like Pandas, NumPy, SQL, and visualization libraries, as well as experience with machine learning frameworks (e.g., scikit-learn, TensorFlow), is commonly expected. Strong problem-solving abilities, communication skills, and a collaborative attitude help interns effectively analyze data and present findings to teams. These skills and qualities are crucial for delivering actionable insights, contributing to projects, and learning quickly in a fast-paced, data-driven environment.

What does a Full Time Data Science Intern do?

A Full Time Data Science Intern typically works with experienced data scientists to analyze large sets of data, build models, and generate insights that help guide business decisions. Their tasks often include data cleaning, exploratory data analysis, assisting in the development of machine learning models, and communicating findings to team members. The role provides hands-on experience with data tools and programming languages such as Python or R, and exposes interns to real-world data challenges. This position is ideal for students or recent graduates looking to gain practical experience in data science.

Is 30 too late for data science?

Full Time Data Science Intern roles are often targeted at students or early-career individuals, but age is not a strict barrier. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and machine learning through online courses or certifications. Success depends on your skills, experience, and ability to demonstrate your value, regardless of age.

Is $30 an hour good for an internship?

For a full-time data science intern, $30 an hour is considered above average in many regions and reflects competitive compensation for entry-level technical roles. Internships often pay between minimum wage and $20-$25 per hour, so $30 indicates a higher-than-average rate, especially if the role involves skills like programming, data analysis, or machine learning. However, pay can vary based on location, company size, and industry standards.

How much does a data science intern make?

A data science intern typically earns between $15 and $30 per hour, depending on the company, location, and level of experience. Internships often last 10 to 12 weeks and may include additional benefits such as mentorship and skill development in tools like Python or R.

What types of projects and responsibilities can a Full Time Data Science Intern expect during their internship?

As a Full Time Data Science Intern, you can expect to work on a variety of hands-on projects such as data cleaning, exploratory data analysis, and building or testing predictive models under the guidance of experienced data scientists. Interns often collaborate closely with cross-functional teams, including engineering and product management, to translate business problems into analytical solutions. You may also participate in team meetings, present findings, and contribute to the implementation of data-driven recommendations. This exposure helps interns develop technical skills, gain real-world experience, and understand the workflow of a professional data science team.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to improve model performance efficiently.
What cities are hiring for Full Time Data Science Intern jobs? Cities with the most Full Time Data Science Intern job openings:
What are the most commonly searched types of Data Science Intern jobs? The most popular types of Data Science Intern jobs are:
Full Time Data Science Intern jobs near you
Data Science

Data Science

Adidev Technologies Inc

San Francisco, CA • On-site

Full-time

Posted 18 days ago

Job description

Adidev Technologies Inc
www.adidevtechnologies.com
URGENT HIRE - HIRING PROCESS - 24-48 HOURS!
Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.
If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.
Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly
Job Description
  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline

Must have
  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS
  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science

SKILLS
  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits
  • Competitive Salary
  • Paid Relocation
  • Remote Support
  • Guaranteed Regular Salary Reviews
  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

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