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Data Science Intern information

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$11

$22

$41

How much do data science intern jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data science intern in Manchester, NH is $22.41, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $24.42 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

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

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.
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Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Manchester, NH as of July 2026, with employment types broken down into 27% Internship, 9% As Needed, 28% Full Time, 18% Part Time, and 18% Temporary. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $46,607 per year, or $22.4 per hour.

Director, Data Science and Analytics

The Weather Channel

Andover, MA • On-site

Full-time

Re-posted 16 days ago

Job description

Company Description
At WSI, weather means business. We are the world's leading provider of weather-driven business solutions that enable enterprises to make better decisions using the most accurate, precise and resolute weather data available. We serve some of the world's biggest brands in the aviation, energy, insurance, and media markets, plus multiple federal and state government agencies.
Based on growth and expansion in analytics we are searching for a leader to build WSI's capabilities in the data sciences, working closely with leaders across the company to build a variety of models, recommenders, and algorithms used by WSI customers to make critical weather related business decisions. You'll connect with stakeholders across multiple verticals (Aviation, Energy, Retail, Insurance, Logistics) identifying opportunities to extract value from datasets and solve focused analytical problems. We are a community of engineers, data scientists, and statisticians, and are looking to add to our growing team. Weather is one of the largest global datasets. We produce Petabytes a year of weather information. Every day our customers make critical decisions based on the weather.
OUR IDEAL CANDIDATE:
  • Has considerable and highly relevant experience in data sciences and technology management - putting predictive models into production for B2B clientele, and building and managing a best in class data sciences group
  • Is excited about extremely large datasets and using them to add value to society
  • Relishes devising and executing strategies and roadmaps and getting buy-in from stakeholders and senior leadership
  • Is very comfortable interfacing with senior level clients to evangelize our solutions

Job Description
  • Explore big data to surface Insights to inform major product and business decisions
  • Perform Statistical Natural Language Processing to mine unstructured data, using methods such as document clustering, topic analysis, named entity recognition and sentiment analysis
  • Analyze and model structured data using advanced statistical methods
  • Process data in large-scale environments
  • Attract, select, develop, motivate, train and retain a team of high performing data science professionals
  • Interface with multiple business units to help us grow analytics as a competitive business advantage and as a center of excellence within the business
  • Select and manage relationship with outsourced analytics provider to augment staff as needed from time to time
  • Manage day-to-day operations, including staffing, scheduling, and prioritization of engagements
  • Lead the definition of processes and procedures to enable the team execute efficiently and the product ingest data optimally
  • Identify data partners, both internal and external, to gather the data to build the best in class data solutions
  • Provide sales support and enable the team sell bigger and better and provide metrics to justify the customer spend
  • Be an evangelist and market the solution by promoting the value of the product from a data perspective using white papers, presentations, etc.
  • Build a performance driven culture with a strong foundation of intellectual curiosity

Qualifications
  • Masters degree applied statistics, mathematics, econometrics, or other discipline related to Time-Series Analysis, Machine Learning, or Forecasting, or its equivalent
  • 10 years of relevant experience in data sciences and technology management, to include deploying predictive models into production
  • Knowledge, Skills and Abilities
  • Demonstrated ability to work with clients, products, and services across multiple industries
  • Demonstrated performance in managing big data projects such as - MapReduce, Hadoop, HPCC
  • Demonstrated proficiency in growing and managing a data sciences team
  • Proficiency in managing in an Agile environment.
  • Strong organizational, analytical, and problem-solving skills

Additional Information
All your information will be kept confidential according to EEO guidelines.

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