Data Scientist - QuantumBlack Studio

QuantumBlack, AI by McKinsey; Lima Metropolitana; On-site; PEN 70,000 - 120,000; Full time

Job summary

QuantumBlack, AI by McKinsey is seeking a data science professional to collaborate with clients and interdisciplinary teams to develop analytics solutions. You will optimize code, build models, and translate business problems into analytical challenges that drive real-world impact.

You will work across industries with world-class talent, contributing to cutting-edge projects and R&D while advancing your machine learning expertise in a dynamic environment.

Qualifications

• 2+ years of practical experience applying ML and data mining to large datasets.
• Strong background in CS, engineering, statistics, mathematics, or physics.
• Ability to lead model development independently and meet deadlines.
• Proficiency in Python and at least one of R/Scala/SQL.
• Experience with relational databases and big data.
• Business fluency in English and Spanish.

Responsibilities

• Develop impactful analytics solutions and optimize code.
• Collaborate with interdisciplinary teams to solve business problems.
• Translate business problems into analytical challenges and build models.
• Work with clients to understand needs and deliver measurable outcomes.
• Contribute to R&D projects and learn from world-class talent.

Skills

Machine learning

Computer science

Statistics

Mathematics

Leadership

Statistical methods

Python

SQL

English

Spanish

Education

Bachelor's degree

Master's degree in CS/Applied statistics/math/AI

Tools

Python

R

Scala

SQL

Job description

Who You'll Work With

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 Impact

You will collaborate with clients and interdisciplinary teams to develop impactful analytics solutions, optimize code, and solve real-world business problems across diverse industries.

You’ll grow as a technologist by contributing to cutting-edge projects, participate in R&D projects working alongside world-class talent in a dynamic, innovative environment.

You will partner with clients to understand their needs and develop impactful analytics solutions. You will translate business problems into analytical challenges, build models to solve them, and ensure they are evaluated with relevant metrics.

Your work will create real-world impact. By identifying patterns in data and delivering innovative solutions, you will help clients maintain their competitive advantage and transform their day-to-day operations. Your contributions will directly influence business outcomes and drive lasting improvements across industries.

You will be based in one of our offices and collaborate closely with data scientists, data engineers, machine learning engineers, designers, and product managers around the world working on interdisciplinary projects that use math, statistics, and machine learning to derive insights from raw data. You will help global companies transform their businesses and enhance performance across industries such as healthcare, automotive, energy, and elite sports.

You’ll thrive in an unparalleled environment for growth. You’ll develop a sought-after perspective by connecting technology and business value, tackle real-life challenges across diverse industries, and collaborate with inspiring multidisciplinary teams, gaining a holistic understanding of AI and its potential to drive transformation.

Your Qualifications and Skills

• Undergraduate degree with a strong academic record; master's in computer science, applied statistics, mathematics, artificial intelligence, or related field preferred
• 2+ years of experience applying machine learning and data mining techniques to large, real-world datasets
• Strong background in computer science, engineering, statistics, mathematics, physics, or similar
• Ability to lead and drive model development independently, balancing quality and deadlines
• Proven track record in prototyping and applying advanced analytical and statistical methods
• Proficiency in Python and at least one additional language (e.g., R, Scala, SQL)
• Experience working with relational databases (SQL) and large datasets
• Experience in the real-world application of machine learning methods and algorithms
• Business level language fluency, both verbally and in writing, in English and Spanish