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Data Science Apprenticeship Jobs (NOW HIRING)

BlackRock

Director - Data Engineering

Atlanta, GA · On-site

Drive the integration of advanced data science workflows, leveraging cloud-native ML services to ... apprenticeship that enriches the experience of our employees, while supporting flexibility for all.

ZS

Data Strategy Manager

Princeton, NJ · On-site

... data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work ... apprentice within the team and make it a long term career. Please describe for us why you are ...

Multiverse

Data Portfolio Lead

Our upskilling apprenticeships are designed for people of any age and career stage to build ... Relevant industry experience: work experience in a data aligned field such as Data Science ...

ZS

Data Strategy Consultant

Princeton, NJ · On-site

... data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work ... apprentice within the team and make it a long term career. Please describe for us why you are ...

ZS

Data Office Consultant

Princeton, NJ · On-site

$155K - $163K/yr

... data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work ... apprentice within the team and make it a long term career. Please describe for us why you are ...

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Data Science Apprenticeship information

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$22K

$106.4K

$203.5K

How much do data science apprenticeship jobs pay per year?

As of Jul 2, 2026, the average yearly pay for data science apprenticeship in the United States is $106,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $154,000.00 per year, depending on experience, location, and employer.

What kinds of projects or tasks do Data Science Apprentices typically work on during their apprenticeship?

Data Science Apprentices usually assist with collecting, cleaning, and analyzing data to help teams solve business problems. They may support the development and testing of machine learning models, create data visualizations, and help prepare reports that communicate insights to both technical and non-technical stakeholders. Apprentices often collaborate closely with experienced data scientists and engineers, gaining exposure to real-world workflows and industry practices. This hands-on experience not only builds technical skills but also helps apprentices understand how data science contributes to strategic decision-making within organizations.

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

To thrive as a Data Science Apprentice, you need a solid understanding of statistics, programming (commonly in Python or R), and data analysis, often supported by a relevant degree or coursework in a quantitative field. Familiarity with tools like SQL, Jupyter Notebooks, and data visualization software, as well as knowledge of frameworks like scikit-learn or TensorFlow, is highly beneficial. Strong problem-solving abilities, eagerness to learn, and effective communication skills help apprentices excel and integrate into data-driven teams. These skills are essential for tackling real-world data challenges, contributing to projects, and building a successful foundation for a future career in data science.

What is a Data Science Apprenticeship job?

A Data Science Apprenticeship is a structured, hands-on training program that allows aspiring data scientists to gain practical experience while working under the guidance of experienced professionals. Apprentices learn key skills such as data analysis, machine learning, and statistical modeling through real-world projects. These programs often combine coursework with on-the-job training, making them an excellent pathway for individuals transitioning into data science or looking to gain industry experience.

More about Data Science Apprenticeship jobs
What cities are hiring for Data Science Apprenticeship jobs? Cities with the most Data Science Apprenticeship job openings:
What are the most commonly searched types of Data Science Apprenticeship jobs? The most popular types of Data Science Apprenticeship jobs are:
What states have the most Data Science Apprenticeship jobs? States with the most job openings for Data Science Apprenticeship jobs include:
What job categories do people searching Data Science Apprenticeship jobs look for? The top searched job categories for Data Science Apprenticeship jobs are:
Data Science Apprenticeship jobs near you
Infographic showing various Data Science Apprenticeship job openings in the United States as of June 2026, with employment types broken down into 72% Full Time, and 28% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $106,396 per year, or $51.2 per hour.
Data Scientist II - QuantumBlack, AI by McKinsey (Critical Industries)

Data Scientist II - QuantumBlack, AI by McKinsey (Critical Industries)

McKinsey & Company

Atlanta, GA • On-site

Full-time

Posted 12 days ago

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
You will collaborate with clients and interdisciplinary teams to understand client needs, develop impactful advanced analytics and AI solutions, optimize code, and solve complex business challenges across industries.
You'll grow your expertise by contributing to cutting-edge projects, R&D, and global conferences while working alongside top-tier talent in a dynamic, innovative environment.
Your work will drive meaningful change. By uncovering patterns in data and delivering innovative solutions, you'll help clients stay competitive, transform operations, and achieve lasting improvements. Here's how you might contribute in a given year:
  • Build a digital twin of a defense supply chain to enhance military hardware availability.
  • Leverage agentic AI to improve customer service outcomes for a global travel company.
  • Optimize the schedule and funding of a multi-billion-dollar capital project to accelerate delivery.

You'll contribute to projects across industries and data science expertise areas, eventually choosing your own path to build your expertise and skills. You should expect this role to include at least some work in critical industries (Defense, Aerospace, Utilities, Oil and Gas), but you will have the ability to serve other industries as well.
Day to day, you'll tackle complex challenges in partnership with senior data scientists, engineers, designers, and domain experts. You will:
  • Translate business questions into analytical approaches and select the right techniques for each problem
  • Conduct exploratory data analysis
  • Design, implement, and evaluate models-from traditional machine learning to deep learning to LLMs -- using rigorous metrics and A/B tests. When appropriate, you'll build production-grade RAG pipelines and assess LLM output quality / hallucinations
  • Deploy models via APIs or batch pipelines, write unit tests, and set up monitoring dashboards to track performance and drift
  • Document assumptions, communicate results in clear, actionable language, and collaborate with engineers to integrate solutions into user-facing applications.
  • Build models which are accurate, explainable, and free from bias
  • Optimize inference latency and cost through parameter-efficient tuning, quantization, and accelerated serving stacks
  • Additionally, you will contribute to internal tools, participate in R&D projects, and have opportunities to attend and present at leading conferences like NIPS and ICML.

You will be based in one of our U.S. locations and collaborate closely with data scientists, data engineers, machine-learning engineers, designers, and product managers around the world.
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, all while upholding our unwavering commitment to ethics and integrity. 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
  • U.S. Citizenship is required (this role must be able to be staffed on Critical Industries work which includes Defense, Aerospace, Utilities, etc.)
  • Bachelors, Masters or PhD level in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence
  • 2+ years of professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
  • Programming experience (focus on machine learning): SQL and Python's Data Science stack are a must; good knowledge of at least one big data framework (Pyspark, Hive, Hadoop) is a plus; R, SPSS, SAS (nice to have); Software Engineering is a plus
  • Knowledge in applying machine learning solution to real problems with complex and/or big amounts of data.
  • Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains
  • Experience deploying technology applied to business problems is a plus
  • While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more.
  • Strong communication skills, both verbal and written, in English, with the ability to adjust your style to suit different perspectives and seniority levels
  • Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
  • Willingness to travel

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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