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JMAN Group

Consultant (Commercial Data)

Manhattan, NY · On-site

Company Description JMAN Group is a fast-growing data engineering and data science consultancy. We ... Our apprenticeship model, combined with structured training and coaching, is designed to accelerate ...

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DAW SE Germany

$79.64 - $125.14/hr

Du verfügst über ein erfolgreich abgeschlossenes Studium der Informatik, Data Science, Wirtschaftsinformatik oder eine vergleichbare Ausbildung und fundierte Kenntnisse in SQL, Datenmodellierung ...

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 ...

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How much do data science apprenticeship jobs pay per year?

As of Sep 6, 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 is a data science apprenticeship?

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.

What do data science apprentices do?

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 skills and qualifications are needed for a data science apprenticeship?

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.

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Data Science Apprenticeship jobs near you
Infographic showing various Data Science Apprenticeship job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $106,396 per year, or $51.2 per hour.

Senior Data Scientist I - QuantumBlack, AI by McKinsey

McKinsey & Company

Lisbon, MD • On-site

Full-time

Re-posted 27 days ago

Key responsibilities

  • Lead the development of AI and machine learning solutions to address complex business challenges.

  • Collaborate with data engineers, machine learning engineers, designers, and clients to build end-to-end analytics solutions.

  • Mentor other data scientists, shape R&D roadmap, and identify high-potential machine learning initiatives for industry application.

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

21st 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
You'll lead the development of cutting-edge AI and machine learning solutions that tackle some of the most complex business challenges across industries-delivering measurable impact at scale.
You will leverage the latest advances in deep learning, reinforcement learning, and AI to uncover insights and improve business performance. You will mentor other data scientists, shape QuantumBlack, AI by McKinsey's R&D roadmap, and identify high-potential machine learning initiatives for industry application. Working closely with data engineers, machine learning engineers, and designers, you will build end-to-end analytics solutions that create real-world impact.
Your work will transform industries. By leveraging advanced AI techniques and collaborating with industry leaders, you will help clients gain a competitive edge, solve critical challenges, and achieve lasting improvements in their operations.
You will be based in Lisbon and collaborate closely with data scientists, data engineers, machine learning engineers, designers, and product managers around the world. Together, you'll work on interdisciplinary projects to solve complex business challenges across a range of industries. Collaborating with QuantumBlack, AI by McKinsey leadership, client executives, and technical experts, you will lead the development and application of cutting-edge machine learning and AI solutions to drive measurable business impact.
You'll thrive in an unparalleled environment for growth. You'll work on high-impact projects, connect technology with business value, and collaborate with inspiring multidisciplinary teams, gaining a holistic perspective of AI's transformative potential while advancing as a technologist and leader.
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
  • Bachelors, Masters or PhD level in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence
  • 5+ years of deep technical experience in distributed computing, machine learning, and statistics related work
  • Programming experience in languages such as: Python, R, Scala, SQL
  • Proven application of advanced analytical, data science and statistical methods in the commercial world
  • Knowledge of distributed computing or NoSQL technologies is a bonus
  • Client-facing skills e.g. working in close-knit teams on topics such as data warehousing, machine learning
  • 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.
  • Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment.
  • Demonstrated leadership (thought leadership or people leadership e.g. managed project teams or direct reports)
  • Willingness to travel
  • Strong presentation and communication skills, both verbal and written, in English and Portuguese, with the ability to adjust your style to suit different perspectives and seniority levels

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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About McKinsey

Sourced by ZipRecruiter

In April 2021, we announced the launch of McKinsey Sustainability, our new client-service platform with the goal of helping all industry sectors transform to get to net zero by 2050 and to cut carbon emissions by half by 2030. McKinsey Sustainability seeks to be the preeminent impact partner and advisor for our clients, from the board room to the engine room, on sustainability, climate, energy transition, and environmental, social and governance (ESG). We are committed to invest behind this goal over the next four years-through our client service, knowledge and capability building, acquisitions and alliances as well as pro-bono investments.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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