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Intern Python Data Science Jobs in Syracuse, NY (NOW HIRING)

Digital Analyst Internships

Syracuse, NY ยท On-site

$97K - $115K/yr

As a Digital Analyst Intern, you'll work alongside a talented team focused on enhancing the digital ... Computer Science, Information Systems, or a related field * Familiarity with data analysis ...

Data (Entry Level)

Syracuse, NY ยท On-site

$16.75 - $22.50/hr

Bachelors or Masters in Computer Science/MIS/IT. Skills Required: Python-Statistical Program Ming. Structured Query Language (SQL) Microsoft Excel. Critical Thinking. Data Visualization. Presentation ...

Data Analytics Engineer

Syracuse, NY ยท On-site

$113K - $135K/yr

... Science, Information Systems, or related field (or equivalent experience) โ€ข Strong SQL skills and ... languages such as Python, Spark, or similar. โ€ข Strong problem-solving, analytical, and ...

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of ... Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and ...

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing ... Writing and debugging code in languages such as C#, Java, Python, or C++ * Participating on an ...

Previous experience programming in software languages such as Python, R, C, MATLAB, etc. * Experience with modern data science workflows for data access and filtering, geospatial analysis, and model ...

... meaningful scientific innovation? As an R&D Intern at Danaher, you'll gain hands-on experience ... Supporting immunoassay development teams with experimental setup, data collection, and ...

Process target data with high throughput and reliable performance * Monitor performance and health ... Python * C++ * Comfort working on embedded Linux Operating Systems * Strong verbal and written ...

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Intern Python Data Science information

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How much do intern python data science jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for intern python data science in Syracuse, NY is $22.24, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Intern Python Data Science, and why are they important?

To excel as an Intern Python Data Science, you should have a solid grasp of Python programming, statistics, and foundational data analysis concepts, typically supported by coursework or academic projects in data science or related fields. Familiarity with tools like Jupyter Notebook, Pandas, NumPy, and basic machine learning libraries such as scikit-learn is commonly expected. Curiosity, problem-solving, and the ability to communicate findings clearly are standout soft skills in this role. These competencies enable interns to effectively support data-driven projects, contribute to team goals, and develop practical experience essential for a future data science career.

What types of projects can I expect to work on as an Intern Python Data Science?

As an Intern Python Data Science, you will typically work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using Python libraries like pandas, NumPy, and scikit-learn. You may be tasked with supporting ongoing research, building data visualizations, or automating data collection processes. Collaboration with data scientists and engineers is common, offering opportunities to learn best practices in code review, version control, and teamwork. These experiences provide a solid foundation for more advanced roles in data science.

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 results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

What is the salary of Python intern?

The salary of a Python intern typically ranges from $15 to $25 per hour, depending on the location, company, and level of experience. Interns often receive stipends or hourly wages and may also gain valuable skills in Python programming, data analysis, and tools like Jupyter Notebook or Pandas during their internship.

Is 30 dollars an hour good for an internship?

For an intern in Python Data Science, earning $30 an hour is above average, as many internships pay between $15 and $25 per hour. This rate reflects the specialized skills in programming, data analysis, and tools like Python and Jupyter notebooks, and may indicate a more competitive or advanced internship position.

What does an Intern Python Data Science do?

An Intern Python Data Science assists data science teams with tasks such as data cleaning, analysis, and visualization, primarily using Python programming. They may work on projects involving data collection, processing, and building simple predictive models. Interns are also expected to learn and apply various data science techniques and tools, often under the guidance of experienced data scientists. This role provides hands-on experience and exposure to real-world data challenges, helping interns develop their technical and analytical skills.

What is the difference between Intern Python Data Science vs Intern Data Analyst?

AspectIntern Python Data ScienceIntern Data Analyst
Required SkillsPython, data analysis, machine learning basicsExcel, SQL, data visualization
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Common TasksData cleaning, modeling, scriptingData reporting, dashboard creation

Intern Python Data Science roles focus on programming, machine learning, and advanced data analysis, often in tech-driven environments. Intern Data Analyst positions emphasize data reporting, visualization, and basic analysis in business settings. While both roles require analytical skills, Intern Python Data Science roles demand coding proficiency, whereas Intern Data Analyst roles focus more on data presentation and interpretation.

Is 30 too late for data science?

Age is not a barrier to becoming a data science intern; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter or SQL, regardless of age.
What are the most commonly searched types of Python Data Science jobs in Syracuse, NY? The most popular types of Python Data Science jobs in Syracuse, NY are:
What are popular job titles related to Intern Python Data Science jobs in Syracuse, NY? For Intern Python Data Science jobs in Syracuse, NY, the most frequently searched job titles are:
What job categories do people searching Intern Python Data Science jobs in Syracuse, NY look for? The top searched job categories for Intern Python Data Science jobs in Syracuse, NY are:
What cities near Syracuse, NY are hiring for Intern Python Data Science jobs? Cities near Syracuse, NY with the most Intern Python Data Science job openings:
Data Analyst, Management Data Analysis

Data Analyst, Management Data Analysis

National Grid

Syracuse, NY โ€ข On-site

$75K - $88K/yr

Other

Posted 19 days ago


Job description

About us

National Grid is hiring a Geographic Information Systems (GIS) Data Analyst for our Electric Data and Systems team department in Syracuse, NY.

Every day we deliver safe and secure energy to homes, communities, and businesses. We are there when people need us the most. We connect people to the energy they need for the lives they live.ย The pace of change in society and our industry is accelerating and our expertise and track record puts us in an unparalleled position to shape the sustainable future of our industry.

To be successful we must anticipate the needs of our customers, reducing the cost of energy delivery today and pioneering the flexible energy systems of tomorrow. This requires us to deliver on our promises and always look for new opportunities to grow, both ourselves and our business.

Job Purpose

Own the customer experience for National Grid's ArcGIS Online application which includes resolving issues, expanding capabilities, and driving product value with a goal of increasing staff productivity and adoption. Other tasks may include GIS mapping, spatial analysis, data pipeline development, and process documentation.

Key Accountabilities
  • Administer and provide end-user support for our electrical ArcGIS Online suite (IMAP):
    • Maintain the active member directory as well as their ArcGIS Online roles.
    • Proactively monitor the servers and systems that keep ArcGIS Online up and running.
    • Triage and resolve technical and product questions submitted by the business and translate recurring support themes into prioritized improvement goals.
    • Create and maintain customer-facing enablement documentation: onboarding guides, release notes, step-by-step playbooks, and responses to frequently asked questions.ย 
    • Oversee and mentor staff on data governance rules and data management best practices.
    • Lead group training sessions, webinars, and 1:1 office hour meetings to accelerate adoption and showcase new features and tools.
  • Perform spatial analyses using geoprocessing tools available in ArcGIS Pro and its extensions.
  • Maintain an understanding of end-to-end data flows and relevant source systems as well as the data sets and associated schemas available through National Grid's centralized data repository.
  • Build relationships with stakeholders to understand business needs and success criteria.
  • Collaborate with stakeholders on asset data reporting needs.
  • Proven experience working with diverse teams and individuals.
  • Demonstrated customer service as well as verbal and written communication skills, including a proven ability to effectively communicate with peers and both technical and non-technical stakeholders.
Qualifications
  • Bachelor's Degree in Geography, Information Systems, Data Sciences, or Data Analytics is preferred. Associate's degree in a related field with similar work experience will be considered.
  • Demonstrated analytical skills, problem solving, and decision-making capabilities.
  • Proficient with computer applications, including relational databases, spreadsheets, and other general applications.
  • Ability to prioritize tasks and work independently and effectively in a matrix environment.
  • Experience working with GIS tools and spatial data systems is required:
    • Esri ArcGIS Pro and ArcGIS Online are required.
    • GE Smallworld GIS and Safe FME are a plus.
  • Experience working with any of the following is highly desirable:
    • Python
    • Pandas
    • SQL
    • Microsoft PowerBI
    • JavaScript or other web development frameworks
  • Experience working with utility asset information as well as LiDAR and photogrammetry data is desirable.
  • Ability to synthesize customer feedback into actionable insights and improvements.
  • Ability to troubleshoot technical issues, translating between technical teams and business stakeholders.
  • This position includes a Storm Role assignment. Candidates must be able to respond to storm emergencies as required.
  • Ability to travel throughout the National Grid service territory as needed (less than 20%).
  • Must have a valid driver's license and safe driving history.ย 
More Information

Salary: $75,000.00 - $88,000.00 USD annually

National Grid utilizes an assessment that evaluates the job qualifications/characteristics using AI or statistically based scoring. For more information, please view NYC Local Law 144.

This position has a career path which provides for advancement opportunities within and across bands as you develop and evolve in the position; gaining experience, expertise and acquiring and applying technical skills. Candidates will be assessed and provided offers against the minimum qualifications of this role and their individual experience.

National Grid is committed to providing equal employment opportunities to all employees and applicants for employment regardless of protected class. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, or any other protected status in accordance with applicable federal, state, and local laws. National Grid maintains affirmative action programs for individuals with disabilities and protected veterans.

Our employment practices are designed to ensure that all individuals are treated fairly and with respect throughout the hiring process and during employment. National Grid complies with all applicable federal, state, and local anti-discrimination laws. We are dedicated to fostering a workplace that is free from unlawful discrimination and harassment, and we encourage a culture of respect for all.
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