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Internship Python R Jobs in Baltimore, MD (NOW HIRING)

Angarai

Research Analyst

College Park, MD · On-site

At least two (2) years of professional experience (internships may count if relevant and hands-on ... Exposure to Python, R, or statistical tools. * Experience with conversion rate optimization (CRO)

ANGARAI

Research Analyst

College Park, MD · On-site

Requirements Minimum Qualifications At least two (2) years of professional experience (internships ... Exposure to Python, R, or statistical tools. Experience with conversion rate optimization (CRO)

ANGARAI

Research Analyst

College Park, MD · On-site

At least two (2) years of professional experience (internships may count if relevant and hands-on ... Exposure to Python, R, or statistical tools. * Experience with conversion rate optimization (CRO)

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Internship Python R information

What are the key skills and qualifications needed to thrive as an Internship Python R, and why are they important?

To thrive in a Python/R internship, you need foundational knowledge in programming with Python and R, basic statistics, and a relevant academic background in computer science, data science, or a related field. Familiarity with data analysis libraries (like pandas, NumPy, tidyverse), version control systems (such as Git), and data visualization tools is typically required. Strong problem-solving abilities, attention to detail, and the willingness to learn make candidates stand out. These skills are crucial for effectively contributing to data-driven projects and adapting to the learning-focused environment of an internship.

What types of projects or tasks can I expect to work on during a Python/R internship?

As a Python/R intern, you’ll typically assist with data analysis, data cleaning, and visualization projects, often working alongside experienced data scientists or analysts. Many internships involve using Python or R to automate data processing, support research efforts, or build basic machine learning models. You may also contribute to documentation, testing code, and presenting findings to your team. This hands-on experience is designed to strengthen your programming skills and expose you to collaborative workflows common in data-driven environments.

What are Internship Python R positions?

Internship Python R positions are entry-level opportunities for students or recent graduates to gain practical experience working with Python and R programming languages. These internships typically involve tasks such as data analysis, scripting, software development, or research projects that utilize Python and R for statistical computing and data manipulation. Interns learn valuable skills in coding, problem-solving, and collaborating on real-world projects, often in fields like data science, finance, healthcare, or academia. They provide a stepping stone for building a career in technology or data-driven industries.

What is the difference between Internship Python R vs Data Analyst?

AspectInternship Python RData Analyst
Required SkillsBasic Python and R programming, data manipulationData analysis, SQL, visualization tools
Work EnvironmentInternship setting, entry-level projectsFull-time, corporate or research settings
CertificationsOptional, often includes online coursesOften requires or prefers certifications in data analysis or related fields

Internship Python R roles are entry-level positions focusing on learning and assisting with data projects using Python and R. Data Analyst roles are more advanced, involving comprehensive data analysis, reporting, and decision-making. Internships serve as a stepping stone toward full Data Analyst positions, which require more experience and skills.

Internship Python R jobs near you
Associate Software Engineer (Python + AWS)

Associate Software Engineer (Python + AWS)

T Rowe Price

Baltimore, MD • Hybrid

Other

Posted 23 days ago

T. Rowe Price rating

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status).

Role Summary

The Front Office Investments Equity Technology team is seeking an Associate Software Engineer to join their team.

You will work closely with Quants, Portfolio Managers and Analysts. You will be involved in design and technical discussions with the team and quants, to develop solutions for the PMs/Analysts to make business critical decisions in a timely basis

Do you have conceptual knowledge of software engineering theories and practices? Are you able to work within standardized procedures and practices to achieve objectives and meet due dates? Can you take ownership over your own work, including delivering against our team's objectives while ensuring quality and timeliness? If this describes you, we encourage you to apply.

Responsibilities

  • Assist in designing, developing, and maintaining data pipelines and workflows for the TRPIM Quant team and Portfolio Managers.
  • Work with large datasets to extract insights and support business decisions.
  • Collaborate with cross-functional teams to understand data needs and deliver solutions.
  • Support cloud-based data infrastructure, primarily on AWS.
  • Contribute to data quality, governance, and documentation efforts.

Business Knowledge:

  • Builds industry knowledge to support software development activities
  • You understand the work of the team

Qualifications

Required:

  • Bachelor's degree or the equivalent combination of education and relevant experience
  • Proficiency in Python for data manipulation and scripting.
  • Experience or familiarity with Amazon Web Services (AWS), such as S3, Lambda, SQS, SNS, etc.
  • Strong problem-solving skills and analytical thinking.
  • Excellent communication and collaboration abilities.
  • Knows of relevant and modern software methodologies (e.g., Scrum) and understands their role as part of software delivery team
  • Actively seeks feedback and guidance to improve technical skills (e.g., through submitting work for code review)
  • Demonstrates competence in at least one programming language or technology
  • Works with existing data models and schemas Practices automated testing
  • Identifies technical debt and recommends solutions for remediation

Preferred:

  • Experience with R for statistical analysis or data visualization.
  • Exposure to SQL and data modeling concepts.
  • Internship or academic project experience in data engineering, analytics, or cloud computing.

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to three days per week from home.

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