70 Data Science Manager jobs in Egypt

Line of Service

Advisory

Industry/Sector

Technology

Specialism

Advisory - Other

Management Level

Administrative

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.

In our changing world, you are expected to deliver high-quality work that enables your teams and/or clients. You create a positive working environment, and build relationships quickly and easily. You are curious, anticipate and address the needs of others, and look to fully understand each task before assisting in the most appropriate way. You are organised, and work collaboratively and efficiently, staying energised even when faced with challenges or ambiguity.

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

• Apply a learning mindset, take ownership of your development, and share and adopt best practices to continuously upskill yourself and others.
• Conduct yourself in a professional manner and take responsibility for your work and commitments.
• Actively listen, check your understanding, interpret and respond appropriately.
• Tailor your communication style and method based on your audience.
• Organise and prioritise information and tasks to achieve efficient and effective outcomes.
• Suggest new ideas or solutions when problems and/or opportunities arise.
• Adapt to meet the changing needs, processes and assignments of your teams and/or clients.
• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.

Minimum years experience required

• Add here AND change text color to black or remove bullet and section title if not applicable

Additional application instructions

• Add here AND change text color to black or remove bullet and section title if not applicable

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Artificial Intelligence, Big Data, C++ Programming Language, Communication, Complex Data Analysis, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Machine Learning {+ 12 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

0%

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

August 31, 2025

Description
At PwC, we measure success by our ability to create the value that our clients and our people are looking for. Our reputation lies in building lasting relationships with our clients and a focus on delivering value in all we do. We're a network of firms in 158 countries with more than 236,000 people who are committed to delivering world-class capabilities and quality in assurance, tax and advisory services.

Established in the region for 40 years, PwC Middle East employs over 4,200 people across 12 countries. Complementing our depth of industry expertise and breadth of skills is our sound knowledge of local business environments across the Middle East region. Our tailored solutions help our clients meet the challenges and opportunities of doing business in the Middle East market and beyond.

Line of Service
Advisory

Industry/Sector
Technology

Specialism
Advisory - Other

Management Level
Administrative

Job Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.

In our changing world, you are expected to deliver high-quality work that enables your teams and/or clients. You create a positive working environment, and build relationships quickly and easily. You are curious, anticipate and address the needs of others, and look to fully understand each task before assisting in the most appropriate way. You are organised, and work collaboratively and efficiently, staying energised even when faced with challenges or ambiguity.

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

• Apply a learning mindset, take ownership of your development, and share and adopt best practices to continuously upskill yourself and others.
• Conduct yourself in a professional manner and take responsibility for your work and commitments.
• Actively listen, check your understanding, interpret and respond appropriately.
• Tailor your communication style and method based on your audience.
• Organise and prioritise information and tasks to achieve efficient and effective outcomes.
• Suggest new ideas or solutions when problems and/or opportunities arise.
• Adapt to meet the changing needs, processes and assignments of your teams and/or clients.
• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.

Minimum Years Experience Required

• Add here AND change text color to black or remove bullet and section title if not applicable

Additional Application Instructions

• Add here AND change text color to black or remove bullet and section title if not applicable

Education
(if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:

Certifications
(if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Artificial Intelligence, Big Data, C++ Programming Language, Communication, Complex Data Analysis, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Machine Learning {+ 12 more}

Desired Languages
(If blank, desired languages not specified)
Travel Requirements
0%

Available for Work Visa Sponsorship?
No

Government Clearance Required?
No

Job Posting End Date
August 31, 2025

Description
Established in the region for 40 years, PwC has around 12,000 people in 12 countries across the region: Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Oman, the Palestinian territories, Qatar, Saudi Arabia and the United Arab Emirates.

Our regional team operates across the Middle East bringing international experience delivered within the context of the region and its culture. We can bring the collective knowledge and experience of more than 370,000 people across the entire global PwC network in advisory, assurance and tax to help you find the value you are looking for.

Line of Service
Advisory

Industry/Sector
Technology

Specialism
Advisory - Other

Management Level
Administrative

Job Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.

In our changing world, you are expected to deliver high-quality work that enables your teams and/or clients. You create a positive working environment, and build relationships quickly and easily. You are curious, anticipate and address the needs of others, and look to fully understand each task before assisting in the most appropriate way. You are organised, and work collaboratively and efficiently, staying energised even when faced with challenges or ambiguity.

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

• Apply a learning mindset, take ownership of your development, and share and adopt best practices to continuously upskill yourself and others.
• Conduct yourself in a professional manner and take responsibility for your work and commitments.
• Actively listen, check your understanding, interpret and respond appropriately.
• Tailor your communication style and method based on your audience.
• Organise and prioritise information and tasks to achieve efficient and effective outcomes.
• Suggest new ideas or solutions when problems and/or opportunities arise.
• Adapt to meet the changing needs, processes and assignments of your teams and/or clients.
• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.

Minimum Years Experience Required

• Add here AND change text color to black or remove bullet and section title if not applicable

Additional Application Instructions

• Add here AND change text color to black or remove bullet and section title if not applicable

Education
(if blank, degree and/or field of study not specified)
Degrees/Field Of Study Required
Degrees/Field of Study preferred:

Certifications
(if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Artificial Intelligence, Big Data, C++ Programming Language, Communication, Complex Data Analysis, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Machine Learning {+ 12 more}

Desired Languages
(If blank, desired languages not specified)
Travel Requirements
0%

Available for Work Visa Sponsorship?
No

Government Clearance Required?
No

Job Posting End Date
August 31, 2025

Company Description

The Institute of Management Professionals (IMP) was established in 2014 as an independent professional institute. It partners with consultation companies in various fields to deliver comprehensive management and business training. IMP is dedicated to advancing professional development through a wide range of training programs designed to meet industry needs.

Role Description

This is a full-time hybrid role for a Data Analysis Trainer at IMP. The role is based in Giza, with some flexibility for working from home. The Data Analysis Trainer will be responsible for delivering training on data analytics and statistics, developing training materials, conducting workshops, and providing hands-on guidance to participants. The trainer will also be responsible for creating data modeling exercises and ensuring effective communication of complex analytical concepts.

Qualifications

• Strong Analytical Skills and proficiency in Data Analytics
• Knowledge of Statistics and Data Modeling techniques
• Excellent Communication skills
• Experience in creating and delivering training materials and workshops
• Ability to simplify and communicate complex analytical concepts
• Familiarity with relevant analytics tools and software
• Bachelor's degree in Data Science, Statistics, or related field

Company Description

Staffinity Outsourcing is a next-generation recruitment and talent empowerment company that combines smart technology with deep human insight to create precise and personalized career journeys. We design tailored pathways to help individuals unlock their full potential, find their ideal role, and grow sustainably in an ever-changing world. Powered by innovation and driven by a passion for excellence, Staffinity is the launchpad for talents who aspire to build unique futures. Our mission is to empower exceptional talents to discover and own their career journeys with faster and smarter hiring experiences.

Role Description

This is a full-time on-site role for a Data Analysis Instructor - 1, located in Cairo, Egypt. The Data Analysis Instructor - 1 will be responsible for teaching data analysis concepts to students, developing course materials, and providing hands-on training in data analytics tools and techniques. The instructor will also be responsible for creating a collaborative learning environment, evaluating student performance, and staying up-to-date with the latest industry trends and tools in data analysis.

Job Qualifications

• Strong Analytical Skills and proficiency in Data Analytics
• Experience in Statistics and Data Modeling
• Excellent Communication skills
• Ability to create a conducive learning environment and engage with students effectively
• Aptitude for teaching and mentoring
• Strong organizational skills and attention to detail
• Experience with data analytics tools such as Python, R, or SQL is preferred
• Previous teaching experience or instructional design is a plus
• Bachelor's degree in data science, Statistics, Computer Science, or a related field

If you're Interested In & qualified for the Above Criteria, Please Send Your Updated CV, & We Will Get in Touch with You As Soon As Possible."

Best Of Luck

Talent Acquisition Team

A leading Engineering Training Company is seeking Data science & AI instructor

to join our team.

As a Data Science Instructor, you'll play a pivotal role in our trainees' development.

Responsibilities:

• Develop and refine engaging session materials that resonate with diverse learning styles.

• Curate and prepare relevant datasets for practical exercises and impactful projects.

• Deliver clear, concise, and compelling explanations of complex technical concepts.

• Provide timely and insightful support to trainees through various communication channels.

• Evaluate progress and offer constructive mentorship, guiding trainees through their learning journey.

• Stay at the forefront of industry trends, continuously updating your knowledge of new technologies and tools.

Skills for Success:

Qualifications and requirements

-5 years of experience in, Data Science and related fields

-Educational background in relevant fields such as Engineering, Computer Science, Statistics, or Business.

-Communication Skills Articulate complex ideas clearly and effectively.

-Outstanding Presentation Skills

-Command attention and inspire learning.

-High Commitment Level Dedicated to trainee success and program excellence.

Strong Leadership Skills: -Guide and motivate aspiring professionals.

Technical Skills:

• Python Programming

• Data Analysis

• Deep Learning

• Machine Learning with Python

How to Apply:

If you're passionate about technology and eager to contribute to an innovative engineering training company, please send your CV to:

-

Company Description

AMIT, which stands for "Association of Management and Information Technology," is a leading company specializing in training and consulting. As a service provider, AMIT places great importance on delivering high-quality service, recognizing that the company's success is directly tied to service excellence. The company is at the forefront of new training methodologies, continuously reviewing market trends and engaging with clients to forecast and identify growth areas in training. AMIT constantly strives to stay contemporary and innovative in its training offerings.

Role Description

This is a full-time on-site role for a Data Analysis Instructor located in Qesm El Maadi. The Data Analysis Instructor will be responsible for teaching data analytics and statistics courses, developing course materials, assessing student performance, and providing feedback. The instructor will also mentor students, assist with curriculum development, and stay up-to-date with industry trends. The role requires excellent communication skills to effectively convey complex information to students.

Key Responsibilities:

• Deliver live and engaging sessions
• Break down complex concepts into easy-to-understand lessons
• Guide learners through hands-on projects, assignments, and exams
• Provide mentorship and feedback
• Collaborate with the academic team to improve course material

Support students during their capstone and real-world projects

Job Qualifications:

• Minimum of 2 years of hands-on experience in Data Analysis or Data Science
• Proven ability to work with:
• Microsoft Excel (Advanced level – PivotTables, Charts, Functions)
• Python (with Pandas, Plotly, Dash)
• SQL (PostgreSQL, MySQL, or similar)
• Power BI (ETL, DAX, Data Modeling & Dashboards)
• Tableau (Data Visualization & Storytelling)
• Strong communication and presentation skills
• Teaching or training experience is a strong plus
• Ability to guide learners through practical labs, workshops, and final projects
• Passion for education and helping others succeed in the field of data

If you're Interested in & Qualified for the Above Criteria, Please Send Your Updated Resume, & The Talent Acquisition Team Will Contact You As Soon As Possible

Best Of Luck

Talent Acquisition Team

Company Description

AMIT, which stands for "Association of Management and Information Technology," is a leading company specializing in training and consulting. As a service provider, AMIT places great importance on delivering high-quality service, recognizing that the company's success is directly tied to service excellence. The company is at the forefront of new training methodologies, continuously reviewing market trends and engaging with clients to forecast and identify growth areas in training. AMIT constantly strives to stay contemporary and innovative in its training offerings.

Role Description

This is a full-time on-site role for a Data Analysis Instructor located in Qesm El Maadi. The Data Analysis Instructor will be responsible for teaching data analytics and statistics courses, developing course materials, assessing student performance, and providing feedback. The instructor will also mentor students, assist with curriculum development, and stay up-to-date with industry trends. The role requires excellent communication skills to effectively convey complex information to students.

Key Responsibilities:

• Deliver live and engaging sessions
• Break down complex concepts into easy-to-understand lessons
• Guide learners through hands-on projects, assignments, and exams
• Provide mentorship and feedback
• Collaborate with the academic team to improve course material

Support students during their capstone and real-world projects

Job Qualifications:

• Minimum of 2 years of hands-on experience in Data Analysis or Data Science
• Proven ability to work with:
• Microsoft Excel (Advanced level – PivotTables, Charts, Functions)
• Python (with Pandas, Plotly, Dash)
• SQL (PostgreSQL, MySQL, or similar)
• Power BI (ETL, DAX, Data Modeling & Dashboards)
• Tableau (Data Visualization & Storytelling)
• Strong communication and presentation skills
• Teaching or training experience is a strong plus
• Ability to guide learners through practical labs, workshops, and final projects
• Passion for education and helping others succeed in the field of data

If you're Interested in & Qualified for the Above Criteria, Please Send Your Updated Resume, & The Talent Acquisition Team Will Contact You As Soon As Possible

Best Of Luck

Talent Acquisition Team

Job Description :

Data Analysis Specialist

(ERP & Enterprise Data and Process Management)

Department:
IT

Reports to:
Head of
Enterprise Data and Process Management

Location:
Fort-Cap(ital Group – Head Office – Maadi, Cairo

Role Purpose

The Data Analysis Specialist is responsible for analyzing ERP data, managing enterprise data governance, and standardizing business processes within FCG manufacturing environment. The role ensures accurate reporting, actionable insights, and optimized ERP workflows to support decision-making across manufacturing, supply chain, procurement, finance, and sales.

Top Responsibilities

·   ERP Data Management – Maintain data accuracy, integrity, and consistency across ERP modules.

·   Enterprise Data Governance – Implement master data standards (materials, BOMs, customers, vendors) and ensure compliance.

·   Process Management – Map, document, and optimize business processes aligned with ERP best practices.

·   Reporting & Insights – Develop ERP dashboards and KPIs to monitor performance in manufacturing, supply chain, finance, and sales.

·   Cross-Functional Support – Partner with Finance, Manufacturing, Procurement, and IT teams to ensure effective ERP usage and reporting.

Key Deliverables

·   Master Data Management framework (customers, suppliers, materials, BOMs).

·   Enterprise Data Governance policies and compliance reports.

·   Standardized business process maps and documentation.

·   Automated ERP-based dashboards and KPI reporting suite.

·   Regular data quality audits and improvement recommendations.

Must-Have Qualifications

·   Bachelor's in Data Science, Computer Science, Industrial Engineering, Supply Chain, or related.

·   1–2 years of ERP data analysis experience (Oracle Fusion, SAP, MS Dynamics, or similar).

·   Strong skills in SQL, Excel, BI tools (Power BI, Tableau, OTBI).

·   Knowledge of Master Data Management, Process Mapping, and ERP business flows.

·   Strong communication and stakeholder management skills.