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Data Scientist Apprentice Jobs (NOW HIRING)

McKinsey & Company

Data Scientist - FinLab

Atlanta, GA · On-site

You will support the FinLab team as a data scientist to analyze large amounts of data to drive ... Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth ...

BlackRock

Associate, Modelling Data Scientist

Atlanta, GA · On-site

$136K - $148K/yr

Associate, Modelling Data Scientist Location: 725 Ponce De Leon Avenue NE Atlanta, GA 30306 Job ... apprenticeship that enriches the experience of our employees, while supporting flexibility for all.

Evolver

Applied Data Science Intern

Palo Alto, CA

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... Tax and Audit The program is structured as a high-engagement cohort-based apprenticeship experience ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... Tax and Audit The program is structured as a high-engagement cohort-based apprenticeship experience ...

HII

DATA ENGINEER - DATA SCIENCE TEAM

Newport News, VA · Hybrid

$104K - $131K/yr

DATA ENGINEER - DATA SCIENCE TEAM Location: Newport News, Virginia, United States Date: Jun 27 ... NNS Apprentice School graduate * Navy Nuclear Power School (NNPS) graduate * Associate's Degree or ...

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How much do data scientist apprentice jobs pay per year?

As of Jul 10, 2026, the average yearly pay for data scientist apprentice in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Scientist Apprentice position, and why are they important?

To thrive as a Data Scientist Apprentice, you should have a foundational understanding of statistics, programming (such as Python or R), and data analysis, often supported by a relevant degree or coursework. Familiarity with tools like SQL, Jupyter Notebooks, and data visualization software, as well as exposure to machine learning libraries, is highly beneficial. Strong analytical thinking, curiosity, and effective communication skills will help you learn quickly and contribute within a team. These competencies are crucial for extracting actionable insights from data and growing into more advanced data science roles.

What kinds of projects or tasks can I expect to work on as a Data Scientist Apprentice?

As a Data Scientist Apprentice, you'll typically assist with tasks such as data cleaning, collecting and preparing datasets, generating visualizations, and supporting more senior data scientists in building and evaluating models. You may be involved in exploratory data analysis, writing scripts to automate repetitive tasks, and presenting your findings to team members. Collaboration with analysts, engineers, and business stakeholders is common, providing insight into how data-driven decisions are made. These projects will help you develop practical experience and prepare you for more advanced responsibilities as you progress in your data science career.

What is a Data Scientist Apprentice job?

A Data Scientist Apprentice is an entry-level role designed to provide hands-on experience in data analysis, machine learning, and statistical modeling under the guidance of experienced professionals. Apprentices typically assist with data cleaning, exploratory data analysis, and building predictive models while learning industry tools like Python, SQL, and data visualization libraries. This role helps develop practical skills in real-world projects, making it a great pathway into a full-time data science career.

More about Data Scientist Apprentice jobs
What cities are hiring for Data Scientist Apprentice jobs? Cities with the most Data Scientist Apprentice job openings:
What are the most commonly searched types of Data Scientist jobs? The most popular types of Data Scientist jobs are:
What states have the most Data Scientist Apprentice jobs? States with the most job openings for Data Scientist Apprentice jobs include:
What job categories do people searching Data Scientist Apprentice jobs look for? The top searched job categories for Data Scientist Apprentice jobs are:
Data Scientist Apprentice jobs near you
Infographic showing various Data Scientist Apprentice job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 100% Physical job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist II - Scientific AI

Data Scientist II - Scientific AI

McKinsey & Company

Atlanta, GA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

15th of 58 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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