100 Data Scientist Positions jobs in Egypt

Envision Employment Solutions is currently looking for a Data Scientist for one of our partners, a global leader in consulting, digital transformation, technology, and engineering services.

This position requires flexibility to work on US times and flexibility to travel abroad when needed.

Responsibilities:

• Build and evaluate ML models, preprocess and analyze data, develop insights, and assist in deploying models into production under the guidance of senior team members.

Requirements:

• 3 to 6 years of experience in Data Science.
• Strong foundation in data analysis, statistical methods, and machine learning techniques.
• Proficiency in Python, R, or similar programming languages and familiarity with ML frameworks.
• Basic understanding of data engineering and visualization tools (Tableau, Power BI).

Benefits:

• Competitive Salary based on experience
• Social and medical insurance
• Learning, development and career progression

As a full spectrum AWS integrator, we assist hundreds of companies to realize the value, efficiency, and productivity of the cloud. We take customers on their journey to enable, operate, and innovate using cloud technologies – from migration strategy to operational excellence and immersive transformation.

If you like a challenge, you'll love it here, because we're solving complex business problems every day, building and promoting great technology solutions that impact our customers' success. The best part is, we're committed to you and your growth, both professionally and personally.

Our Data Scientists are experienced technologists with technical depth and breadth, along with strong interpersonal skills. In this role, you will work directly with customers and our team to help enable innovation through continuous, hands-on, deployment across technology stacks. You will work to build data science pipelines that include building models, A/B testing, natural language processing, computer vision, MCP servers and AI Agents. You will deliver ML models and pipelines that solve real-world business problems, while leveraging ML Ops best practices, to ensure successful deployment of ML models and application code You will leverage cloud-based architectures and technologies to deliver optimized ML models at scale You will use programming languages like Python and work with popular ML frameworks like Scikit Learn, TensorFlow etc.

If you get a thrill working with cutting-edge technology and love to help solve customers' problems, we'd love to hear from you. It's time to rethink the possible. Are you ready?

What you will be doing:

• Design, develop, and maintain AI Agents leveraging modern frameworks and LLM-based orchestration techniques
• Build, deploy, and optimize MCP (Model Context Protocol) servers to extend agent capabilities and enable integration with external tools and APIs
• Architect scalable, modular, and maintainable systems for multi-agent collaboration and tool interoperability
• Implement secure and efficient communication channels between AI agents, MCP servers, and client applications
• Continuously evaluate new frameworks, protocols, and libraries in the AI agent ecosystem (e.g., LangChain, AutoGen, crewAI, or custom MCP implementations)
• Build complex SQL queries using MongoDB, Oracle, SQL Server, MariaDB, MySQL
• Ability to work with structured and unstructured data sets
• Deep experience with R or Python, and SQL
• Ability to apply supervised and unsupervised machine learning techniques
• Using modern ML frameworks such as SKLearn, PyTorch or TensorFlow
• Data labelling, categorization, and structuring techniques
• Ability to break down and clearly define problems
• Ability to communicate highly technical results to a diverse audience
• Excellent analytical and problem-solving skills

Qualifications & Skills:

• 5+ years of hands-on experience in data mining and predictive analytics with statistical modelling techniques
• 5+ years of experience in networking, infrastructure, or database architectures
• Experienced with Python and modern ML frameworks such as SKLearn, PyTorch or TensorFlow
• Proven experience in designing and deploying MCP servers or similar protocol-based integrations
• Strong software engineering background (Python, , or similar languages)
• Experience with AI agent frameworks (e.g., LangChain, crewAI, AutoGen, Semantic Kernel, Haystack)
• Solid understanding of LLM orchestration, context management, and retrieval-augmented generation (RAG)
• Knowledge of API design, microservices, and communication protocols (WebSockets, gRPC, REST)
• Familiarity with containerization and deployment (Docker, Kubernetes, or serverless)
• Background in cloud platforms (AWS, Azure, GCP) and MLOps workflows
• Understanding of security best practices for agent–server interactions (auth, sandboxing, data governance)
• Contributions to open-source MCP servers, AI agent frameworks, or LLM plugins
• Knowledge of prompt engineering, fine-tuning, or reinforcement learning with human feedback (RLHF)
• Experience with advanced data science tools
• Experience applying computational algorithms and statistical methods to structured and unstructured data
• MS or PhD in Applied Mathematics, Physics, Computer Science, Statistics, or related technical field

Job Description:

Role Overview:

We are seeking a highly skilled and collaborative Data Scientist to join the delivery team for a strategic Data & AI implementation project. The ideal candidate will support the platform's advanced analytics use cases, including data exploration, statistical modeling, feature engineering, ML model development, and GenAI use case enablement. You will collaborate with data engineers, architects, BI developers, and business stakeholders to deliver actionable insights and intelligent solutions.

Key Responsibilities:

Data Exploration & Feature Engineering:

• Explore, profile, and analyze structured, semi-structured, and unstructured data across more than 11 enterprise source systems (e.g., SAP, Oracle Fusion, JIRA, Primavera, etc.).
• Perform data cleansing, feature selection, and transformation activities across Bronze and Silver layers of the Lambda Data Lakehouse architecture.

Advanced Analytics & ML:

• Develop, train, and optimize supervised and unsupervised machine learning models to support use cases such as customer churn prediction, financial chatbot insights, and operational efficiency improvements.
• Support integration and deployment of ML models into the data platform using tools like Google Cloud AI Platform, Python, Snowflake, and Power BI.

GenAI Enablement:

• Collaborate on use cases involving Generative AI and Large Language Models (LLMs) using structured and unstructured datasets.
• Work with data architects to ensure the Lakehouse architecture supports these models effectively.

Collaboration & Business Engagement:

• Participate in workshops and requirement-gathering sessions with customer's business and technical teams.
• Translate business questions into data science problems, and present findings in actionable, business-friendly formats (dashboards, reports, presentations).

Quality, Testing & Governance:

• Document assumptions, modeling approaches, and validations.
• Participate in unit testing, QA, and UAT activities related to predictive analytics and AI models.
• Ensure compliance with NDMO, PDPL, and customer's internal data governance policies.

Required Skills and Experience:

• Strong experience in data science or machine learning roles on large-scale enterprise data projects.
• Strong hands-on experience in:
• Python, Pandas, Scikit-learn, TensorFlow or PyTorch
• SQL (Snowflake or Google BigQuery preferred)
• Data wrangling and feature engineering
• Experience with ML lifecycle and MLOps tools on Google Cloud Platform (GCP).
• Familiarity with data versioning, CI/CD for ML, and monitoring ML pipelines.
• Knowledge of APIs, data integration methods, and working with virtualized layers (e.g., Denodo).
• Exposure to BI visualization tools like Power BI.
• Understanding of data privacy, security, and model fairness in regulated environments.

Preferred Qualifications:

• Google Cloud Certified Data Engineer / Machine Learning Engineer (preferred but not mandatory)
• Experience working in real estate or public sector is a plus.
• Understanding of data cataloging, metadata, and lineage concepts using Informatica Cloud.

Soft Skills:

• Strong analytical mindset and problem-solving skills.
• Excellent communication and stakeholder engagement abilities.
• Ability to work under pressure and deliver in fast-paced, multi-vendor environments

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive.

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.

About Us:

We are seeking a highly motivated Data Scientist who is passionate about turning data into actionable insights. The ideal candidate is smart, analytical, and skilled in TypeScript, Python, and SQL. If you love solving complex problems and communicating your findings effectively, we want you on our team.

Key Responsibilities:

• Analyze large, complex datasets to extract meaningful insights and drive business decisions.
• Build and maintain scalable data pipelines and automated workflows using Python and SQL.
• Develop data-driven solutions and predictive models using statistical and machine learning techniques.
• Implement data analysis and visualization tools using TypeScript for interactive dashboards and reporting.
• Collaborate with cross-functional teams to understand data needs and translate them into actionable outcomes.
• Ensure data quality, integrity, and consistency across all sources.
• Present findings to stakeholders in a clear, concise, and actionable way.

Qualifications:

• Strong experience in Python, TypeScript, and SQL.
• Proven experience with data analysis, statistical modeling, or machine learning.
• Solid understanding of data structures, algorithms, and software engineering best practices.
• Experience with visualization tools and frameworks (e.g., , Plotly, or similar).
• Strong problem-solving skills and ability to think critically.
• Excellent communication skills; able to present complex data insights to non-technical stakeholders.
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field preferred.

Nice to Have:

• Experience with cloud platforms (AWS, GCP, Azure).
• Familiarity with CI/CD pipelines and version control (Git).
• Background in product analytics, e-commerce, or fintech.

Job Type: Part-time

Pay: E£ E£485.03 per hour

Expected hours: 20 per week

Language:

• english very well (Preferred)

Position
Data Scientist / Senior Machine Learning Engineer

Job Description
Position Overview:
As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.

Key Responsibilities

• Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
• Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
• Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
• Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
• Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
• Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
• Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.

Qualifications

• Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
• Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
• Strong knowledge of machine learning frameworks and libraries.
• Expertise in data preprocessing, feature engineering, and model selection.
• Familiarity with large language models and AI agent design.
• Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
• Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
• Experience with vectorized databases and unstructured search engines is a plus.
• A Master's degree in computer science, Statistics, Data Science, or a related field is a plus.
• Publications or contributions to open-source projects are a plus.

If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.

Location:
EG-Cairo, Egypt (Al Emdad & Al Tamween)

Time Type
Full time

Job Category
Information Technology

About this Position
The Data Scientist enables value creation with data innovations (e.g. Applied data Science, Machine Learning, Artificial Intelligence, Quantitative Research & Statistics) and productionizing data products. The team includes experts in analytics and finance, implementing analytical use cases for Adhesives unit (HAT), from product innovation to customer facing applications. The team is responsible for applying the latest tools and technologies as well as cloud services to design, build and run data driven AI solutions that contribute to Henkel's digitalization strategy.

What You´ll Do

• Solve complex business problems with data; using data scientific tools to find solutions for challenges in the realm of both big and small data: developing custom data models and algorithms to apply to data sets
• Delivers data science products from idea to deployment
• Actively participate in cross-functional project teams in the execution of our analytics strategy, exploring emerging technologies and leveraging their full potential
• Develop processes and tools to monitor and analyze model performance and data accuracy
• Acts as data science ambassador across business units and functions

What makes you a good fit

• Bachelor's degree in Computer Science, Network Engineering, Business informatics, or any relevant study
• 3-5 years of relevant work experience
• Expert knowledge in at least one of the following data science areas: supervised or unsupervised machine learning, statistical modeling
• Business acumen and ability to work closely with non-technical teams
• High confidence in verbal and written communication.
• Experience using statistical computer languages (Python and SQL knowledge is a must)
• Experience analyzing data from 3rd party providers is preferable
• Microsoft Azure (DevOps, machine learning, databricks etc.) experience is preferable

Some perks of joining Henkel

• Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
• Diverse national and international growth opportunities
• Globally wellbeing standards with health and preventive care programs
• Gender-neutral parental leave for a minimum of 8 weeks
• Employee Share Plan with voluntary investment and Henkel matching shares
• Comprehensive Health Insurance for employee + dependents
• Employee Assistance Program provides a wide range of mental health and wellbeing benefits

At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.

As a Data Scientist at Nawy, you will play a key role in leveraging data science techniques and machine learning algorithms to solve complex business problems and drive strategic decision-making. You will work closely with cross-functional teams to identify opportunities for data-driven solutions, develop predictive models and algorithms, and deliver actionable insights that drive business value. The ideal candidate will have a strong technical background, extensive experience in data science and machine learning, and a proven track record of delivering impactful solutions in a business setting.

• Lead and manage end-to-end data science projects, from problem formulation and data exploration to model development, evaluation, and deployment
• Collaborate with business stakeholders to understand their needs and objectives, and translate them into data science solutions that drive business value
• Design and develop predictive models, machine learning algorithms, and advanced analytics solutions to solve complex business problems
• Perform exploratory data analysis and feature engineering to extract insights and identify patterns in the data
• Evaluate and benchmark machine learning algorithms and techniques to identify the most effective approaches for a given problem
• Work closely with data/dev-ops engineers to ensure the scalability, reliability, and performance of data science solutions in production environments
• Communicate findings and recommendations to stakeholders in a clear and compelling manner, and collaborate with them to drive adoption and implementation of data-driven solutions
• Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and proactively identify opportunities to apply new techniques and technologies to business problems

Requirements

• Bachelor's degree in Computer Science, Information Systems, or other related technical field or equivalent work.
• Proven experience as a Data Scientist or similar role, with at least 3 years of experience in a same role
• Strong technical skills in data analysis, machine learning, and statistical modeling, with proficiency in Python, R, or other programming languages
• Experience with machine learning libraries and frameworks such as scikit-learn, TensorFlow, or PyTorch
• Solid understanding of data science concepts and techniques, including supervised and unsupervised learning, classification, regression, clustering, and time series analysis
• Proven track record of delivering data-driven solutions that have positively impacted business outcomes
• Excellent problem-solving skills and attention to detail, with the ability to think critically and analytically
• The ability and willingness to learn new technologies on the job.
• Self driven, highly motivated, fast learner, ambitious and creative.

Company Description

The Intern is an AI-powered application that connects college students with highly relevant internships, along with financial management and educational resources. Our mission is to deliver a real social impact by enhancing students' career and educational experiences. Our platform ensures that students find internships that are best suited to their skills and aspirations.

Role Description

This is a contract role for a Data Scientist. The Data Scientist will be responsible for performing data analysis, developing data models, creating data visualizations, and applying statistical methods to interpret data. The role is hybrid, based in Heliopolis, with some work from home acceptable.

Qualifications

• Proficiency in Data Science and Data Analysis
• Strong skills in Statistics and Data Analytics
• Experience with Data Visualization tools and techniques
• Bachelor's degree in Data Science, Statistics, Computer Science, or related field
• Excellent problem-solving and analytical skills
• Good communication and collaboration skills
• Experience with machine learning is a plus
• Knowledge of programming languages such as Python or R is beneficial

We are looking for a motivated graduate in Computer Science based in Alexandria to join our technology team. This role offers hands-on experience with modern tools and systems while contributing to internal projects.

Qualifications:

• 1 to up to 3 year of relevant experience.
• Bachelor's degree in
  Computer Science,
  IT, or related discipline.
• Strong problem-solving and analytical skills.
• Good communication and teamwork abilities.
• Willingness to learn new systems and tools quickly.

What You'll Do:

• Work with internal platforms and tools to support business operations.
• Assist in configuring, testing, and maintaining technology solutions.
• Collaborate with different teams to understand requirements and deliver process improvements.
• Document workflows and provide support in troubleshooting issues.
• Participate in continuous learning to gain expertise in emerging technologies.