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Data Apprentice Jobs in Georgia (NOW HIRING)

Corvant

HVAC Apprentice I

Douglasville, GA · On-site

Our teams support essential facilities across data centers, healthcare, manufacturing, logistics ... HVAC Apprentice I is responsible for assembling sheet metal, setting roof curbs, installing ...

BlackRock

Data Engineering, Director

Atlanta, GA

About this role We are seeking a Data Architect & Engineering Lead to drive the strategy and ... apprenticeship that enriches the experience of our employees, while supporting flexibility for all.

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How much do data apprentice jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for data apprentice in Georgia is $20.35, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $22.74 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data apprentice?

To thrive as a Data Apprentice, you need a solid understanding of basic statistics, data analysis, and foundational programming skills, often supported by a high school diploma or equivalent. Familiarity with tools like Microsoft Excel, SQL, and introductory experience with Python or data visualization platforms is typically required. Strong attention to detail, a willingness to learn, and effective communication make candidates stand out in this entry-level role. These skills are crucial for accurately handling data tasks, supporting business decisions, and building a pathway for growth in the data field.

What types of projects or tasks can a data apprentice expect to work on during their apprenticeship?

As a Data Apprentice, you will typically support data analysts and data scientists by assisting with data collection, cleaning, and basic analysis tasks. You may be involved in preparing datasets, generating routine reports, and visualizing data to help stakeholders understand key insights. Apprentices often work closely with more experienced team members, which provides valuable opportunities to learn technical skills, industry tools, and best practices while contributing to real-world projects. This collaborative environment is designed to help you build a strong foundation for a data-focused career.

What is a data apprentice?

A Data Apprentice is an entry-level professional who is learning the skills required to work with data, often through a structured apprenticeship program. They typically assist with tasks such as data collection, cleaning, analysis, and reporting while receiving on-the-job training and mentorship. Data Apprentices work under the guidance of experienced data professionals to develop their technical abilities and understanding of data-driven decision-making. This role is ideal for individuals seeking to start a career in data science, analytics, or related fields without prior experience.
What are the most commonly searched types of Data jobs in Georgia? The most popular types of Data jobs in Georgia are:
What cities in Georgia are hiring for Data Apprentice jobs? Cities in Georgia with the most Data Apprentice job openings:
Data Apprentice jobs near you
Infographic showing various Data Apprentice job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $42,319 per year, or $20.3 per hour.

Data Scientist II - Scientific AI

McKinsey & Company

Atlanta, GA • On-site

Full-time

Re-posted 15 days ago

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

20th of 72 rated business consultants

Job description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place.
YOUR IMPACT
Your work will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams.
You will bring distinctive statistical, machine learning, and AI competency to complex client problems. With your expertise in advanced mathematics, statistics, and/or machine learning, you will help build and shape McKinsey's scientific AI offering.
You will play a pivotal role in the creation/dissemination of cutting-edge knowledge and proprietary assets. You will work in a multi-disciplinary team and build the firm's reputation in your area of expertise. You will ensure statistical validity and outputs of analytics, AI/ML models and translate results for senior stakeholders.
You will write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment. You will be working in one of our offices in North America in our Life Sciences practice.
You will work with cutting edge AI teams on research and development topics across our life sciences, global energy and materials (GEM), and advanced industries (AI) practices, serving as a data scientist in a technology development and delivery capacity.
You will be on McKinsey's global Scientific AI team helping to answer industry questions related to how AI can be used for therapeutics, chemicals & materials (including small molecules, proteins, mRNA, polymers, etc.).
You will support the manager of data science on the development of data science and analytics roadmap of assets across cell-level initiatives. You will deliver distinctive capabilities, models, and insights through your work with client teams and clients.
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.
When you join us, you will have:
  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS
  • Master's or PhD degree
  • 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research
  • Proven experience applying machine learning techniques to solve business problems
  • Proven experience in translating technical methods to non-technical stakeholders
  • Strong programming experience in python (R, Python, C++ optional) and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain)
  • Experience with version control (GitHub)
  • ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision
  • Ability to write production code and object-oriented programming

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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