Data Science Engineering Manager

PricewaterhouseCoopers; Johannesburg; On-site; ZAR 60 000 - 100 000; Full time

Job summary

Join a forward-thinking company as a Data Science Engineering Manager, where you will lead innovative projects at the intersection of data engineering and data science. In this dynamic role, you will design scalable systems for data collection and analysis, optimizing workflows and machine learning models to unlock actionable insights for clients. Collaborate with cross-functional teams to enhance decision-making processes and drive impactful results. If you are passionate about leveraging technology and innovation to solve complex problems, this is the perfect opportunity for you to make a significant impact in a collaborative environment.

Benefits

Work Visa Sponsorship

Flexible Working Hours

Health Insurance

Professional Development Opportunities

Performance Bonuses

Remote Work Options

Team Building Activities

Wellness Programs

Paid Time Off

Retirement Savings Plan

Qualifications

• 5+ years of experience in data engineering or data science.
• Strong understanding of machine learning frameworks and big data tools.

Responsibilities

• Design and implement robust data pipelines for large datasets.
• Collaborate with teams to deliver actionable insights and data-driven solutions.

Skills

Python

R

Scala

SQL

NoSQL

Machine Learning

Data Analysis

Problem-Solving

Team Management

Leadership

Education

Bachelor’s or Master’s degree in Computer Science

Statistics

Mathematics

Tools

Spark

Databricks

AWS

Azure

Google Cloud

TensorFlow

PyTorch

scikit-learn

Power BI

Git

Job description

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients by providing advice and solutions. They help organizations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively.

In actuarial services at PwC, you will be responsible for analyzing and managing financial risks for clients through statistical modeling and data analysis. Your work will generate valuable insights and recommendations to help businesses make informed decisions and mitigate potential risks.

Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to meet client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our firm. You are expected to lead with integrity and authenticity, articulating our purpose and values meaningfully. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences needed to lead and deliver value at this level include, but are not limited to:

1. Analyze and identify the linkages and interactions between the component parts of an entire system.
2. Take ownership of projects, ensuring their successful planning, budgeting, and completion.
3. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
4. Develop skills outside your comfort zone and encourage others to do the same.
5. Effectively mentor others.
6. Use work reviews as opportunities to deepen team members' expertise.
7. Address conflicts or issues, engaging in difficult conversations with clients, team members, and other stakeholders, escalating where appropriate.
8. Uphold and reinforce professional and technical standards (e.g., PwC tax and audit guidance), the firm's code of conduct, and independence requirements.

Job Summary:

We are seeking a skilled and passionate Data Science Engineering Manager to join our team. In this role, you will work at the intersection of data engineering and data science, designing scalable systems for data collection, analysis, and machine learning model deployment. You will collaborate with cross-functional teams to unlock actionable insights and build data-driven solutions for our clients.

Key Responsibilities:

• Design and implement robust data pipelines to collect, clean, and process large volumes of structured and unstructured data.
• Optimize data workflows and machine learning systems to ensure efficiency and reliability.
• Work closely with data analysts, data scientists, and stakeholders to define data requirements and deliver actionable insights.
• Contribute to AI projects using RAG and LLM.
• Perform exploratory data analysis and contribute to the creation of predictive and prescriptive analytics.
• Stay updated with the latest trends in data science, machine learning, and big data technologies.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Proficiency in programming languages such as Python, R, or Scala.
• Strong experience with big data tools and frameworks (e.g., Spark, Databricks) and cloud platforms (e.g., AWS, Azure, Google Cloud).
• Solid understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Hands-on experience with SQL and NoSQL databases.
• Knowledge of CI/CD pipelines and MLOps principles.
• Excellent problem-solving skills and a keen eye for detail.
• Strong communication skills and the ability to work collaboratively in a team environment.

Preferred Skills:

• Familiarity with advanced analytics techniques (e.g., NLP, computer vision).
• Experience in software development practices and version control systems (e.g., Git).
• Knowledge of data visualization tools (e.g., Power BI).

Travel Requirements: Up to 20%.

Available for Work Visa Sponsorship: Yes.

Job Posting End Date: April 29, 2025.

Required Experience: Manager.

Key Skills: Hospitality Experience, Go, Management Experience, React, Redux, Node.js, AWS, Mechanical Engineering, Team Management, Leadership Experience, Mentoring, Distributed Systems.