Senior Data Scientist - QuantumBlack, AI by McKinsey
McKinsey & Company
This job is no longer accepting applications
See open jobs at McKinsey & Company.See open jobs similar to "Senior Data Scientist - QuantumBlack, AI by McKinsey" ASU+GSV Summit.Software Engineering, Data Science
Melbourne, VIC, Australia · Sydney, NSW, Australia · Perth, WA, Australia
Senior Data Scientist - QuantumBlack, AI by McKinsey
Job ID: 96592
Your Impact
- 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
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
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.
share this job
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
This job is no longer accepting applications
See open jobs at McKinsey & Company.See open jobs similar to "Senior Data Scientist - QuantumBlack, AI by McKinsey" ASU+GSV Summit.