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Summer Data Science Jobs in Georgia (NOW HIRING)

Chicken Salad Chick

Intern

Atlanta, GA

$14.25 - $19/hr

Open to Data Science/CMDA majors. Supply Chain 1 Assist in the analysis and optimization of supply ... These are full-time, on-site Summer Intern roles based in Atlanta, GA, starting June 1st and ending ...

Chicken Salad Chick - 03

Intern

Atlanta, GA

$14.25 - $19/hr

Open to Data Science/CMDA majors. Supply Chain 1 Assist in the analysis and optimization of supply ... These are full-time, on-site Summer Intern roles based in Atlanta, GA, starting June 1st and ending ...

Chicken Salad Chick

Intern

Atlanta, GA · On-site

$14.25 - $19/hr

Open to Data Science/CMDA majors. Supply Chain 1 Assist in the analysis and optimization of supply ... These are full-time, on-site Summer Intern roles based in Atlanta, GA, starting June 1st and ending ...

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Summer Data Science information

Is 30 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or bootcamps, regardless of age.

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 features. Data scientists often use this concept to focus on the most impactful variables or tasks to improve model performance efficiently.

What is the difference between Summer Data Science vs Summer Data Analyst?

AspectSummer Data ScienceSummer Data Analyst
Required CredentialsTypically requires coursework or degree in data science, statistics, or related fieldsOften requires degree or coursework in data analysis, statistics, or business analytics
Work EnvironmentCollaborates with data scientists, engineers, and product teams on complex data projectsWorks with business teams to interpret data, generate reports, and support decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for advanced data modelingCommon in marketing, retail, finance, and operations for data reporting and insights

Summer Data Science roles focus on developing predictive models and advanced analytics, often requiring stronger technical skills. Summer Data Analysts typically handle data reporting and visualization to support business decisions. Both roles are valuable in data-driven industries but differ in technical depth and project scope.

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

To excel as a Summer Data Science Intern, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or a degree in a quantitative field. Familiarity with tools such as SQL, Jupyter Notebooks, and data visualization platforms, as well as experience with machine learning libraries, is typically expected. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and present insights clearly. These skills enable interns to contribute meaningful analyses, adapt quickly to new challenges, and add value to data-driven projects in a short timeframe.

What is a Summer Data Science internship?

A Summer Data Science internship is a temporary, often 8-12 week, position for students or recent graduates to gain hands-on experience in data science during the summer months. Interns typically work on real-world projects involving data collection, cleaning, analysis, and visualization, using tools like Python, R, and SQL. These internships provide valuable exposure to industry practices, mentorship from experienced data scientists, and opportunities to develop technical and analytical skills. They are commonly offered by tech companies, finance firms, healthcare organizations, and startups.

Can I get a data scientist job with no experience?

Entry-level data scientist positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools and techniques. While prior experience is preferred, candidates with strong analytical skills, relevant coursework, or certifications can sometimes qualify for internships or junior roles to gain practical experience.

What types of projects can I expect to work on as a Summer Data Science intern?

As a Summer Data Science intern, you can typically expect to work on real-world projects involving data cleaning, exploratory data analysis, and building predictive models under the supervision of experienced data scientists. You may be tasked with analyzing large datasets, visualizing findings, and contributing to presentations that inform business decisions. Collaboration is common, so you'll likely work closely with team members from engineering, analytics, and business units to refine project goals and deliver actionable insights. This hands-on experience is designed to help you develop technical skills while understanding how data science impacts organizational objectives.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning, and work at large tech companies or in high-cost-of-living areas. Senior roles, specialized expertise, and leadership positions are more likely to reach this salary level.
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Summer Data Science jobs near you
2027 Technology Summer Analyst Program (Alpharetta)

2027 Technology Summer Analyst Program (Alpharetta)

Morgan Stanley

Alpharetta, GA • On-site

Other

Posted 7 days ago

Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 154 frontline employees who took The Breakroom Quiz

37th of 150 rated financial services

Job description

Overview:

Summer Analysts join us for 10 weeks and are recruited and placed into a specific development, engineering or business & data analytics team. These programs are designed to offer a real-world, project-based experience of what it's like to be a technologist for a top financial Firm.

Summer Program: Summer Analysts will participate in an induction day that provides an overview of the Firm, followed by direct placement into their teams. In addition to working on a live project, program highlights include senior management networking events, technical demonstrations, team-building opportunities and participation in the Firm's community service initiatives.

Role and Responsibilities:

Application Development Team s: Our development teams design, develop and maintain applications used by our business units. Daily activities include: meeting with clients to gather and analyze requirements. They make system design decisions, evaluating, integrating and developing necessary software, and then test and deploy applications to production. Developing high-performing, low-latency electronic trading systems, and evolving complex workflows and life-cycle management capabilities are just some of the projects available for developers.

Enterprise Engineering Teams: Our platform-facing teams develop cutting-edge systems to run our business. Our engineers provide tools, applications and platforms such as the Firm's networks, computing hardware, operating systems and databases for the Firm's trading applications, mobile applications and other end-user applications. Engineering the Firm's websites, managing the Windows plant and developing a client reporting delivery system are some of the projects available for enterprise engineers in our organizations.

Business & Data Analytics Teams: Our business & data analysts play a key role engaging with our business units to analyze, capture, and validate requirements with technology teams in order to solve business challenges in an agile fashion. Business & data analysts provide technical, data analytics, data science, and process excellence skills to support up-front product and data analysis as well as end-to-end solution development.

Qualifications and Skills:

  • Minimum cumulative GPA of 3.0/4.0
  • Excellent problem-solving, communication, teamwork, and analytical skills
  • 0-1 years of professional experience in Technology or related field
  • Experience in the financial services sector not required

For Application Development/Enterprise Engineering:

  • Studying towards a bachelor's or master's degree in computer science, Computer Engineering, Electrical Engineering, Mathematics, Physics, Software Engineering or other related technical major, and will graduate between December 2027 and June 2028
  • Superior technical skills, including a strong understanding of Linux /Unix and Windows, competency in at least one programming language (e.g., C, C++, Java or C#)
  • Experience in object-oriented development, good comprehension of data structures, algorithms and complexity theory, strong database and scripting skills

For Business & Data Analytics:

  • Studying towards a bachelor's or master's degree in Business, Economics, Computer Science, Engineering or other related major, and will graduate between December 2027 and June 2028
  • Keen interest in the financial services industry, along with documenting IT solution requirements (business, functional and/or technical), and strong technical knowledge

What Morgan Stanley employees say

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