Data Scientist II: Lead AI/ML Solutions & Business Impact

Quantumblack, Ai By Mckinsey; Johannesburg; On-site; ZAR 700 000 - 950 000; Full time

Job summary

A leading consultancy in AI solutions is seeking a Data Scientist II to lead the development of cutting-edge AI and machine learning solutions. You will mentor other data scientists and collaborate with professionals across various domains, delivering measurable business impact. Applicants should have a relevant degree and 3-5 years of technical experience in machine learning and distributed computing. This full-time role offers an opportunity for significant professional growth in a supportive environment.

Benefits

Competitive salary

Comprehensive benefits package

Structured apprenticeship programs

Qualifications

• 3-5 years of deep technical experience in distributed computing and statistics.
• Proven application of advanced analytical and statistical methods.
• Exceptional time management in an autonomous work environment.

Responsibilities

• Lead development of AI and machine learning solutions.
• Mentor other data scientists.
• Collaborate with data engineers and product managers.

Skills

Programming experience in Python

Programming experience in R

Machine learning expertise

Statistical analysis

Client-facing skills

Leadership skills

Education

Bachelor's, Master's or PhD in computer science

Machine learning

Applied statistics

Mathematics

Tools

SQL

Databricks

AWS

GCP

Azure

Docker

Kubernetes

Airflow

PySpark

Dask / RAPIDS

Job description

A leading consultancy in AI solutions is seeking a Data Scientist II to lead the development of cutting-edge AI and machine learning solutions. You will mentor other data scientists and collaborate with professionals across various domains, delivering measurable business impact. Applicants should have a relevant degree and 3-5 years of technical experience in machine learning and distributed computing. This full-time role offers an opportunity for significant professional growth in a supportive environment.