Data Science Engineering Manager

Pwc South Africa; Johannesburg; On-site; ZAR 80 000 - 150 000; Full time

Job summary

An established industry player is seeking a skilled Data Science Engineering Manager to lead innovative projects at the intersection of data engineering and data science. This role involves 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 clients. If you are passionate about leveraging technology and data to drive business success, this opportunity is perfect for you. Join a dynamic team where your leadership and expertise will make a significant impact.

Qualifications

• Bachelor's or Master's degree in relevant field required.
• Proficiency in Python, R, or Scala is essential.
• Experience with big data tools and cloud platforms is a must.

Responsibilities

• Design and implement data pipelines for large data sets.
• Collaborate with teams to define data requirements.
• Stay updated with trends in data science and machine learning.

Skills

Python

R

Scala

Data Analysis

Machine Learning

Problem Solving

Team Collaboration

Education

Bachelor's degree in Computer Science

Master's degree in Data Science

Bachelor's degree in Statistics

Tools

Spark

Databricks

AWS

Azure

Google Cloud

TensorFlow

PyTorch

Scikit-learn

SQL

NoSQL

Power BI

Job description

Data Science Engineering Manager page is loadedData Science Engineering ManagerApply locations Johannesburg time type Full time posted on Posted 5 Days Ago time left to apply End Date : April 29, (1 day left to apply) job requisition id WDManagement LevelManagerJob Description & SummaryAt PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions.

They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively.In actuarial services at PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling 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 member's unique strengths, and managing performance to deliver on 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 in a meaningful way.

You embrace technology and innovation to enhance your delivery and encourage others to do the same.Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to : Analyse and identify the linkages and interactions between the component parts of an entire system.Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.Develop skills outside your comfort zone, and encourage others to do the same.Effectively mentor others.Use the review of work as an opportunity to deepen the expertise of team members.Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.Uphold and reinforce professional and technical standards (e.g.

refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.Job Summary : We are looking for 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 on 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 SQLand 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 RequirementsUp to 20%Available for Work Visa Sponsorship?NoJob Posting End DateApril 29,

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Engineering Manager • Johannesburg, Gauteng