Data Scientist - QuantumBlack, AI by McKinsey
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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.
What You’ll Experience
* 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.
* 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.
* 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.
* 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 work on real‑world, high‑impact projects across a variety of industries, identify micro patterns in data that our clients can exploit to maintain their competitive advantage and watch your technical solutions transform their day‑to‑day business. You will experience the best environment to grow as a technologist and a leader, develop a sought‑after perspective connecting technology and business value, and serve our clients on their changing needs.
As a Data Scientist, you will:
* Partner with our clients, from data owners and users to C‑level executives, to understand their needs and build impactful analytics solutions.
* Contribute to cross‑functional problem‑solving sessions with your team and deliver presentations to colleagues and clients.
* Translate business problems into analytical problems and develop models aimed at solving our clients’ and users’ problems and ensure they are evaluated with the relevant metrics.
* Write highly optimized code to advance our internal Data Science Toolbox.
* Add real‑world impact to your academic expertise, as you are encouraged to write papers and present at meetings and conferences should you wish.
* Take part in R&D projects; attend conferences such as NIPS and ICML as well as data science retrospectives where you will have the opportunity to share and learn from your co‑workers.
* Work in one of the most advanced data science teams globally.
* Work on the frameworks and libraries that our teams of data scientists and data engineers use to progress from data to impact.
* Guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Your Qualifications and Skills
* Bachelors, master’s or PhD level in disciplines such as computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence.
* 2-5 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.
* 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 a plus.
* Knowledge in applying machine learning solutions to real problems with complex and/or big amounts of data.
* Willingness to travel.
Our Tech Stack
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.
Seniority level
Executive
Employment type
Full‑time
Job function
Consulting and Information Technology
Industries
Information Services; IT Services; IT Consulting
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