Intermediate Data Scientist

ATS Client; Johannesburg; On-site; ZAR 420,000 - 660,000; Full time

Job summary

ATS Client in Johannesburg is seeking an Intermediate Data Scientist to own and deliver multiple data science streams, build practical ML models, and turn data into meaningful outcomes. You will work independently within a fast-moving team, collaborate with engineers and product teams, and mentor junior colleagues as you solve high-impact business problems.

The role emphasizes curiosity, accountability, and problem-solving, with opportunities to grow into senior-level responsibilities as you

Qualifications

• 1–3 years of experience in data science or related field.
• Strong programming skills in Python.
• Solid understanding of ML and data science fundamentals.
• Experience with Pandas, NumPy, Scikit-learn.
• Exposure to PyTorch or TensorFlow is advantageous.

Responsibilities

• Own and deliver multiple data science work-streams within projects.
• Perform exploratory data analysis (EDA) to uncover insights.
• Design, build, and evaluate machine learning models.
• Feature engineering and data preprocessing at scale.
• Translate business problems into structured analytical solutions.
• Write clean, scalable, and well-documented code.
• Validate and interpret model results, communicating findings clearly.
• Collaborate with engineers, product teams, and stakeholders.
• Contribute to solution design discussions.
• Support and guide junior team members where needed.

Skills

Python

Pandas

NumPy

Scikit-learn

Independent work

Education

BSc minimum

Tools

PyTorch

TensorFlow

Job description

Job Description

We're looking for a Intermediate Data Scientist who is ready to take real ownership of their work and contribute to solving complex, high-impact business problems. This role is ideal for someone who enjoys working independently, building practical machine learning solutions, and turning data into meaningful outcomes. You'll be part of a fast-moving, collaborative environment where curiosity, accountability, and problem-solving are key to success.

Responsibilities

• Own and deliver multiple data science work-streams within projects
• Perform exploratory data analysis (EDA) to uncover insights and guide modelling
• Design, build, and evaluate machine learning models
• Perform feature engineering and data preprocessing at scale
• Translate business problems into structured analytical solutions
• Write clean, scalable, and well-documented code
• Validate and interpret model results, communicating findings clearly
• Collaborate with engineers, product teams, and stakeholders
• Contribute to solution design discussions
• Support and guide junior team members where needed

Qualifications

• 1-3 years of experience in data science, machine learning, or a related field
• Strong programming skills in Python
• Solid understanding of machine learning and data science fundamentals
• Experience with tools such as Pandas, NumPy, Scikit-learn
• Exposure to PyTorch or TensorFlow (advantageous)
• Ability to work independently across multiple tasks
• A STEM degree (BSc minimum; strong academic performance preferred)

Ideal Candidate Traits

• Take ownership of your work and follow through
• Enjoy solving multiple problems at once and managing your own workload
• Can break down business problems into structured technical solutions
• Communicate clearly and confidently
• Are eager to learn, improve, and take on more responsibility

Benefits

• Ownership of real project work and deliverables
• Exposure to complex, real-world data challenges
• Opportunities to contribute to solution design
• Mentorship and support to grow into a senior role
• A clear progression path toward leadership

Working Style

• Work in cross-functional teams to solve complex problems
• Encourage ownership, autonomy, and accountability
• Value clear thinking and strong communication
• Focus on delivering outcomes, not just outputs