Team Lead Data Science Ameta

Chep; Johannesburg; Hybrid; ZAR 900 000 - 1 200 000; Full time

Job summary

A leading global logistics and supply chain company is seeking a Team Lead Data Science in Johannesburg. This role involves mentoring a team, creating data-driven tools, and optimizing supply chain productivity. Ideal candidates will have strong technical skills in data science and experience in international organizations. The position offers hybrid work arrangements and competitive benefits.

Benefits

Flexible working arrangements

Career development opportunities

Diverse, inclusive culture

Qualifications

• Experience in large international organizations and data science projects.
• Ability to work independently, deliver results, and communicate findings effectively.

Responsibilities

• Combine advanced analytics, AI, and machine learning to generate actionable insights.
• Manage and guide a small team across multiple time zones.
• Deploy and maintain machine learning models using CI/CD methodologies.

Skills

Machine Learning

Python

Data Storytelling

Leadership

Adaptability

Education

Degree in Data Science

Degree in Computer Science

Degree in Engineering

Tools

PySpark

Databricks

SQL

Job description

Job Title: Team Lead Data Science - CHEP, City of Johannesburg, Gauteng, South Africa

CHEP helps move more goods to more people, in more places than any other organization on earth via our million pallets, crates, and containers.

We employ approximately 13,000 people and operate in 60 countries.

Through our pioneering and sustainable share-and-reuse business model, the world's biggest brands trust us to help them transport their goods more efficiently, safely, and with less environmental impact. Join an international organization that offers opportunities for impact and growth.

Job Description

Global leader in Logistics & Supply Chain, listed on ASX, recognized for sustainability

Collaborative team shaping digital supply chain innovations

Create data-driven tools to optimize supply chain and asset productivity, enhancing customer value and supporting strategic initiatives

Are you curious, technically skilled, and experienced in data science, AI system design, and cross-functional collaboration across time zones?

As part of the Brambles Data & Analytics team, reporting to the Data & Analytics Lead for AMETA, you will mentor a team of 2 Data Scientists, set standards, and drive major projects. This role can be based in Australia or South Africa.

Responsibilities

1. Combine advanced analytics, AI, and machine learning with domain expertise to generate actionable insights
2. Experiment with and implement new data science techniques on projects
3. Deploy and maintain machine learning models using CI / CD methodologies
4. Communicate project progress and results to technical and business stakeholders
5. Manage and guide a small team across multiple time zones

Qualifications and Skills

• Degree in Data Science, Computer Science, Engineering, or related field, with relevant experience
• Proficiency in machine learning models and their deployment
• Strong coding skills in Python and PySpark
• Experience with AI system design and Databricks platform
• Research and develop new algorithms and techniques
• Experience in large international organizations and data science projects
• Ability to work independently, deliver results, and communicate findings effectively
• Knowledge of project management frameworks like Agile and Waterfall

About CHEP

CHEP is a global leader in supply chain solutions, promoting circularity and resilience through data and collaboration. Serving industries such as retail, automotive, and manufacturing, CHEP manages around [number] million pallets and containers worldwide, employing over 11,000 people. Visit our website for more information.

We offer competitive benefits, flexible working arrangements, career development opportunities, and a diverse, inclusive culture.

Additional Information

Remote work: Hybrid model

Skills required include adaptability, cloud infrastructure, data storytelling, leadership, machine learning, Python, SQL, stakeholder engagement, and more.

Equal Opportunity Statement

We are committed to diversity, fairness, and preventing fraud.

Contact us at

• for legitimacy concerns.

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