Analytics

Senior Data Scientist - QuantumBlack, AI by McKinsey

Job ID: 96592
  • Melbourne
  • Perth
  • Sydney
+ 2 More
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Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.

Your Impact

Only at McKinsey, 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 by working on real-life problems across a variety of industries and technical challenges to serve our clients on their changing needs. You will be surrounded by inspiring individuals as part of diverse multidisciplinary teams, develop a holistic perspective of AI by partnering with the best design, technical, and business talent in the world as your team members.
As a Senior Data Scientist, you will:
  • Solve the hardest business problems with our clients in multiple industries worldwide while leading research and development of state-of-the-art Machine Learning and statistical methods
  • Play a leading role in bringing the latest advances in deep learning to the world economy, collaborating with industry executives and QuantumbBlack experts to find and execute opportunities to improve business performance using data and advanced machine learning models
  • Identify machine learning R&D initiatives that have high potential of applicability in industry
  • Work with Quantumblack leadership and client executives to understand business problems and map them to state-of-the-art analytics and AI solutions
  • Use the latest advances in deep learning, reinforcement learning and AI to solve business problems and derive key insights across various industry sectors
  • Mentor other data scientists and help them grow their knowledge and skills
  • Work closely with data engineers, machine learning engineers and designers to build end-to-end analytics solutions for our clients that drive real impact in the real world
  • Influence and help shape the R&D roadmap for Quantumblack, especially on deep learning
  • Perhaps most importantly, you will work in one of the most talented and diverse data science teams in the world

Your Growth

You will be part of our global Data Science community and you will work with other data scientists, data engineers, machine learning engineers, designers and project managers on interdisciplinary projects, using math, stats and machine learning to derive structure and knowledge from raw data across various industry sectors. 
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritizing impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.
Our Tech Stack
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.

Your qualifications and skills

  • Bachelor's, master's or PhD level in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence
  • 7+ years of deep technical experience in distributed computing, machine learning, and statistics related work
  • Programming experience in languages such as: Python, R, Scala, SQL
  • 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
  • Proven application of advanced analytical, data science and statistical methods in the commercial world
  • Demonstrated leadership (thought leadership or people leadership e.g. managed project teams or direct reports)
  • Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields
  • Willingness to travel

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Industries
  • High Tech
Capabilities
  • Technology
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FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

Job Skill Group - N/A
Job Skill Code - CDS2 - Senior Data Scientist II
Function - Technology
Industry - High Tech
Post to LinkedIn - Yes
Posted to LinkedIn Date - Fri Mar 28 00:00:00 GMT 2025
LinkedIn Posting City - Sydney
LinkedIn Posting State/Province -
LinkedIn Posting Country - Australia
LinkedIn Job Title - Senior Data Scientist - QuantumBlack, AI by McKinsey
LinkedIn Function - Consulting;Information Technology
LinkedIn Industry - Computer Software;Information Services;Information Technology and Services
LinkedIn Seniority Level - Mid-Senior level