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Internship Computer Science Consulting Jobs in Atlanta, GA

HI , Hope you're doing well This is pankaj from 4P Consulting Please see below Please share your ... Bachelors degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics ...

Finance Analytics & AI Senior Consultant

Atlanta, GA · On-site

$112K/yr

Preferred : • Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics ... Deloitte is a business consulting company that offers audit, consulting, financial advisory, and ...

OneStream Consultant Location: Remote Duration: Contract Job Summary: We are seeking an experienced ... Bachelor's or Master's degree in Computer Science, Information Systems, Finance, or a related field ...

Sr. SAP Functional Consultant

Atlanta, GA · On-site

$60.50 - $82.75/hr

Masters, MBA or advanced degree in MIS or Computer Science highly preferred. Responsibilities ... in consultation with experts; appropriately tailored for the business objectives Lead design ...

Data Scientist

Atlanta, GA · On-site

$95 - $110/hr

... internships, research, senior projects, or meaningful independent projects. * Bachelor's or Master's degree in statistics, mathematics, operations research, computer science, engineering, or another ...

Accounting, Actuarial Science, Analytics/Data Science, Business Administration/Management, Computer ... Consulting skills in Health Services - Leading teams in Business Transformation initiatives ...

Role: Kissflow Consultant Job Requirements: * 8+ years of hands-on experience with the Kissflow ... Bachelor's or Master's degree in Engineering / Computer Science or equivalent Certifications:

Role: Kissflow Consultant Job Requirements: * 8+ years of hands-on experience with the Kissflow ... Bachelor's or Master's degree in Engineering / Computer Science or equivalent Certifications:

Showing results 41-60

Internship Computer Science Consulting information

What are the key skills and qualifications needed to thrive as an internship computer science consultant, and why are they important?

To succeed as an Internship Computer Science Consultant, you typically need a solid understanding of programming languages, problem-solving abilities, and coursework or experience in computer science fundamentals. Familiarity with tools like Python, Java, SQL, and collaborative platforms such as Git, as well as exposure to consulting frameworks or methodologies, is highly valuable. Strong communication, teamwork, and adaptability help interns effectively interact with clients and integrate into project teams. These skills and qualities are crucial for delivering high-quality solutions, learning quickly, and contributing meaningfully in a fast-paced consulting environment.

What is an internship computer science consulting?

Internship Computer Science Consulting positions are temporary roles designed for students or recent graduates who want hands-on experience in the consulting side of computer science. Interns work with clients or internal teams to analyze technical problems, develop solutions, and implement technology-driven strategies. These internships allow individuals to apply their computer science knowledge in real-world business contexts, often focusing on software development, data analysis, or IT systems. The experience helps interns build professional skills, industry connections, and a better understanding of consulting careers in technology.

What types of projects can I expect to work on during a computer science consulting internship?

As a Computer Science Consulting intern, you'll typically engage in a variety of projects such as developing custom software solutions, analyzing client systems for efficiency improvements, or assisting with technology integration for businesses. You may also participate in client meetings, contribute to technical documentation, and collaborate with both technical and non-technical team members. This hands-on experience helps you build consulting, communication, and problem-solving skills while learning how to translate technical expertise into practical solutions for real-world business challenges.
What are the most commonly searched types of Computer Science Consulting jobs in Atlanta, GA? The most popular types of Computer Science Consulting jobs in Atlanta, GA are:
What are popular job titles related to Internship Computer Science Consulting jobs in Atlanta, GA? For Internship Computer Science Consulting jobs in Atlanta, GA, the most frequently searched job titles are:
Infographic showing various Internship Computer Science Consulting job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 14% Part Time, 5% Contract, and 1% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.

DATA SCIENTIST

4P Consulting Inc.

Forest Park, GA

Contractor

Re-posted 18 days ago


Job description

HI,

Hope you're doing well

This is pankaj from 4P Consulting Please see below job description

Please share your resume if you're interested and have 5-10 years of experience submission on W2 basis only NO C2C

  • A Data Scientist with 5 to 10 years of
    experience is responsible for leveraging
    data to uncover insights, create predictive
    models, and drive data-driven decision-
    making within an organization.
  • This role
    involves advanced analytics, machine
    learning, and strong problem-solving skills
    to extract actionable information from
    large datasets. Key Responsibilities: Data
    Analysis: Collect, clean, and analyze
    complex datasets to identify trends,
    patterns, and actionable insights.
  • Use
    statistical techniques to uncover
    meaningful information from data.
    Predictive Modeling: Develop and deploy
    machine learning models to predict future
    trends, behaviors, and outcomes. Apply
    regression analysis, clustering,
    classification, and other modeling
    techniques.
  • Data Visualization: Create
    compelling data visualizations to
    communicate findings effectively to both
    technical and non-technical stakeholders
    using tools like Tableau, Power BI, or
    Python libraries. Hypothesis Testing:
    Formulate and test hypotheses, providing
    statistical validation for business
    decisions and recommendations.
  • Feature
    Engineering: Engineer and select relevant
    features for machine learning models,
  • enhancing their predictive power.
    Algorithm Development: Build and fine-
    tune machine learning algorithms, such
    as decision trees, random forests, neural
    networks, and more, depending on the
    specific problem.
  • Data Integration:
    Collaborate with IT and database
    administrators to integrate and access
    data from various sources and data
    warehouses. Model Deployment: Deploy
    machine learning models in production
    environments to support real-time
    decision-making. A/B Testing: Design and
    analyze A/B tests to measure the impact
    of changes and improvements. Data
    Ethics:
  • Ensure ethical data practices,
    including privacy and compliance with
    data protection regulations. Cross-
    functional Collaboration: Collaborate with
    cross-functional teams, including
    engineers, business analysts, and domain
    experts, to understand business
    requirements and align data science
    initiatives with organizational goals.
    Mentorship:
  • Provide guidance and
    mentorship to junior data scientists and
    analysts, fostering their professional
    growth. Continuous Learning: Stay
    updated on the latest data science tools,
    techniques, and trends through ongoing
    professional development. Qualifications:
    Bachelors degree in a quantitative field
    (e.g., Computer Science, Statistics,
    Mathematics, Engineering); a Masters or
    Ph.D. is a plus.
  • 5 to 10 years of experience
    in data science, including machine
    learning and statistical analysis.
    Proficiency in data analysis tools and
    programming languages such as Python,
    R, or Julia. Strong knowledge of machine
    learning algorithms and their applications.
    Experience with data visualization toolslike Tableau, Power BI, or data
    visualization libraries in Python (e.g.,
    Matplotlib, Seaborn). Solid understanding
    of databases and data manipulation using
    SQL. Excellent problem-solving and
    critical thinking skills. Strong
    communication skills to convey complex
    findings and insights to both technical and
    non-technical stakeholders. Familiarity
    with big data technologies and distributed
    computing frameworks is a plus (e.g.,
    Hadoop, Spark). Knowledge of data
    ethics, privacy, and compliance
    considerations.
  • A Data Scientist with 5 to
    10 years of experience is a critical asset to
    an organization, capable of transforming
    data into actionable insights, building
    predictive models, and driving data-driven
    decision-making. This role requires a
    strong foundation in data science
    techniques, programming, and advanced
    analytics, as well as the ability to
    collaborate with various teams and
    mentor junior staff.

Thanks and Regards

Sr. Talent Acquisition Specialist

Pankaj Mishra

Pankaj.Mishra@4pconsultinginc.com

+1 205-756-4834