data engineer Jobs in Support Senior Specialist Revenue Management Broadband Jobs In Egypt

data engineer

data analyst Jobs in Support Senior Specialist Revenue Management Broadband Jobs In Egypt

data analyst

senior data engineer Jobs in Support Senior Specialist Revenue Management Broadband Jobs In Egypt

senior data engineer

senior data scientist Jobs in Support Senior Specialist Revenue Management Broadband Jobs In Egypt

senior data scientist

data analytics and insights analyst Jobs in Support Senior Specialist Revenue Management Broadband Jobs In Egypt

data analytics and insights analyst

data scientist

Henkel

<div>
 
 About this Position
 
 The Data Scientist enables value creation with data innovations (e.g. Applied data Science, Machine Learning, Artificial Intelligence, Quantitative Research &amp; 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&rsquo;s digitalization strategy.
 
 
 
 What You&acute;ll Do
 
 
 
 <ul>
 <li>
 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
 </li>
 <li>
 Delivers data science products from idea to deployment
 </li>
 <li>
 Actively participate in cross-functional project teams in the execution of our analytics strategy, exploring emerging technologies and leveraging their full potential
 </li>
 <li>
 Develop processes and tools to monitor and analyze model performance and data accuracy
 </li>
 <li>
 Acts as data science ambassador across business units and functions
 
 
 </li>
 </ul>
 
 What makes you a good fit
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Network Engineering, Business informatics, or any relevant study
 </li>
 <li>
 3-5 years of relevant work experience
 </li>
 <li>
 Expert knowledge in at least one of the following data science areas: supervised or unsupervised machine learning, statistical modeling
 </li>
 <li>
 Business acumen and ability to work closely with non-technical teams
 </li>
 <li>
 High confidence in verbal and written communication.
 </li>
 <li>
 Experience using statistical computer languages (Python and SQL knowledge is a must)
 </li>
 <li>
 Experience analyzing data from 3rd party providers is preferable
 </li>
 <li>
 Microsoft Azure (DevOps, machine learning, databricks etc.) experience is preferable
 
 
 </li>
 </ul>
 
 Some perks of joining Henkel
 
 
 
 <ul>
 <li>
 Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
 </li>
 <li>
 Diverse national and international growth opportunities
 </li>
 <li>
 Globally wellbeing standards with health and preventive care programs
 </li>
 <li>
 Gender-neutral parental leave for a minimum of 8 weeks
 </li>
 <li>
 Employee Share Plan with voluntary investment and Henkel matching shares
 </li>
 <li>
 Comprehensive Health Insurance for employee + dependents
 </li>
 <li>
 Employee Assistance Program provides a wide range of mental health and wellbeing benefits
 
 
 </li>
 </ul>
 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.
</div>

Data Scientist

DXC Technology

<div>
 
 
 Job Description
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled and collaborative Data Scientist to join the delivery team for a strategic Data &amp; AI implementation project. The ideal candidate will support the platform&rsquo;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 &amp; Feature Engineering:
 
 
 <ul>
 <li>
 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.)
 </li>
 <li>
 Perform data cleansing, feature selection, and transformation activities across Bronze and Silver layers of the Lambda Data Lakehouse architecture
 </li>
 </ul>
 
 
 🔹 Advanced Analytics &amp; ML
 
 
 <ul>
 <li>
 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
 </li>
 <li>
 Support integration and deployment of ML models into the data platform using tools like Google Cloud AI Platform, Python, Snowflake, and Power BI
 </li>
 </ul>
 
 
 🔹 GenAI Enablement
 
 
 <ul>
 <li>
 Collaborate on use cases involving Generative AI and Large Language Models (LLMs) using structured and unstructured datasets
 </li>
 <li>
 Work with data architects to ensure the Lakehouse architecture supports these models effectively
 </li>
 </ul>
 
 
 🔹 Collaboration &amp; Business Engagement
 
 
 <ul>
 <li>
 Participate in workshops and requirement-gathering sessions with customer&rsquo;s business and technical teams
 </li>
 <li>
 Translate business questions into data science problems, and present findings in actionable, business-friendly formats (dashboards, reports, presentations)
 </li>
 </ul>
 
 
 🔹 Quality, Testing &amp; Governance
 
 
 <ul>
 <li>
 Document assumptions, modeling approaches, and validations
 </li>
 <li>
 Participate in unit testing, QA, and UAT activities related to predictive analytics and AI models
 </li>
 <li>
 Ensure compliance with NDMO, PDPL, and customer&rsquo;s internal data governance policies
 </li>
 </ul>
 
 
 Required Skills And Experience
 
 
 <ul>
 <li>
 Strong experience in data science or machine learning roles on large-scale enterprise data projects
 </li>
 <li>
 Strong hands-on experience in:
 </li>
 <li>
 Python, Pandas, Scikit-learn, TensorFlow or PyTorch
 </li>
 <li>
 SQL (Snowflake or Google BigQuery preferred)
 </li>
 <li>
 Data wrangling and feature engineering
 </li>
 <li>
 Experience with ML lifecycle and MLOps tools on Google Cloud Platform (GCP)
 </li>
 <li>
 Familiarity with data versioning, CI/CD for ML, and monitoring ML pipelines
 </li>
 <li>
 Knowledge of APIs, data integration methods, and working with virtualized layers (e.g., Denodo)
 </li>
 <li>
 Exposure to BI visualization tools like Power BI
 </li>
 <li>
 Understanding of data privacy, security, and model fairness in regulated environments
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Google Cloud Certified Data Engineer / Machine Learning Engineer (preferred but not mandatory)
 </li>
 <li>
 Experience working in real estate or public sector is a plus
 </li>
 <li>
 Understanding of data cataloging, metadata, and lineage concepts using Informatica Cloud
 </li>
 </ul>
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong analytical mindset and problem-solving skills
 </li>
 <li>
 Excellent communication and stakeholder engagement abilities
 </li>
 <li>
 Ability to work under pressure and deliver in fast-paced, multi-vendor environments
 </li>
 </ul>
 
 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&rsquo;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
 
 .
 
 
</div>

Nafham - نفهم

<div>
 
 Company Description
 
 
 
 Nafham is a personalized online learning platform for students, teachers, and the larger community. We offer curriculum-based video lessons and online tutoring for national curriculums in Egypt and the Gulf region, alongside international programs like SAT and IGCSE. Our platform also provides a diverse range of life skills courses, such as programming, language learning, and resume writing. With a strong commitment to enhancing education, Nafham aims to maximize the potential of young Arab and African individuals.
 
 
 
 Role Description
 
 
 
 This is a full-time, on-site AI Data Scientist role based in Cairo, Egypt. The AI Data Scientist will be responsible for designing, developing, and implementing data-driven solutions using statistical and machine learning models. The role involves analyzing large datasets, generating actionable insights, and visualizing data to inform both business and educational strategies. The individual will collaborate with cross-functional teams to optimize processes, improve user experience, and support decision-making through accurate data analysis.
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Strong background in Data Science, Statistics, and proficiency in designing and implementing machine learning models.
 </li>
 <li>
 Proficiency in Data Analysis and Data Analytics for identifying patterns, trends, and insights from complex datasets.
 </li>
 <li>
 Skills in Data Visualization, using tools like Tableau, Power BI, or similar technologies, to present findings effectively.
 </li>
 <li>
 Experience with programming languages such as Python, R, or SQL used for data manipulation and analysis.
 </li>
 <li>
 Familiarity with large-scale data processing frameworks like Hadoop or Spark is a plus.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 Strong analytical thinking and problem-solving abilities, with excellent attention to detail.
 </li>
 <li>
 Ability to work collaboratively in a team environment and adapt to a fast-paced, dynamic setting.
 </li>
 </ul>
</div>

AI Data Scientist

e& CX Solutions Egypt

<div>
 
 
 About e&amp; CX Solutions
 
 
 
 It&rsquo;s one of Etisalat affiliates that offers business process outsourcing services. With Our highly skilled team, cutting-edge technology, and a decade of expertise in empowering business growth, we enable you to optimize operations and enhance customer experiences. e&amp; global services in Egypt cater excellence to your ever-changing lifestyle and ever-expanding demands &ndash; covering not only business process outsourcing, but a wide collection of services that suit your various needs. We will continue to be your trusted companion and consultant, enabling connectivity and everything beyond, accelerating the digital world and pioneering future-forward spaces.
 
 
 
 
 
 
 Roles &amp; Responsibilities:
 
 
 <ul>
 <li>
 build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to customers
 </li>
 <li>
 use machine learning tools and statistical techniques to produce solutions to problems
 </li>
 <li>
 test data mining models to select the most appropriate ones for use on a project
 </li>
 <li>
 maintain clear and coherent communication, both verbal and written, to understand data needs and report results
 </li>
 <li>
 create clear reports that tell compelling stories about how customers or clients work with the business
 </li>
 <li>
 assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
 </li>
 <li>
 horizon scan to stay up to date with the latest technology, techniques, and methods
 </li>
 <li>
 conduct research from which you'll develop prototypes and proof of concepts
 </li>
 <li>
 look for opportunities to use insights/datasets/code/models across other functions in the Etisalat
 </li>
 <li>
 stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.
 </li>
 </ul>
 
 
 
 
 
 
 The Ideal candidate must have:
 
 
 
 
 
 
 &bull; Strong Python skills (Tensorflow, Keras , Sklearn, Pandas, Numpy)
 
 
 &bull; Recommendations Engine
 
 
 &bull; Advanced SQL skills &amp; Data Warehouse concepts
 
 
 &bull; Oracle/IBM Netezza know-how is a plus
 
 
 &bull; Probability &amp; Statistics ( A/B Testing , Probability Distributions , Summary Statistics)
 
 
 
 
 
 &bull; Supervised and Unsupervised Learning (Models understanding)
 
 
 &bull;Minimum 4 years of experience.
 
 
 &bull; Model Evaluation Metrics (Precision, Recall, F1 Score, etc.)
 
 
 &bull; Data Analysis (Outlier Detection, Dealing with Class Imbalance, Data Synthesis)
 
 
 &bull; NLP &amp; Sentimental Analysis
 
</div>

eXtra (United Electronics Co.)

<div>
 
 
 Essential Qualifications &amp; Skills
 
 
 <ul>
 <li>
 Collect and analyze large and complex datasets from various sources.
 </li>
 <li>
 Create reports and visual dashboards to support decision-making.
 </li>
 <li>
 Design and apply machine learning models to optimize processes and predict future trends.
 </li>
 <li>
 Continuously evaluate and improve model performance.
 </li>
 <li>
 Collaborate with IT teams to ensure efficient organization and storage of data.
 </li>
 <li>
 Implement data cleaning and transformation (ETL) processes to prepare data for analysis.
 </li>
 <li>
 Work with diata, sales, and management teams to understand their requirements and integrate data-driven solutions.
 </li>
 <li>
 Stay updated with the latest technologies and trends in data science to provide innovative solutions.
 </li>
 </ul>
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in data science, Statistics, Mathematics, Computer Science, or a related field.
 </li>
 <li>
 At least 5 years of practical experience in data science or data analysis.
 </li>
 <li>
 
 Programming Languages:
 
 Proficiency in Python and/or R.
 </li>
 <li>
 
 Data Analysis:
 
 Experience with libraries such as Pandas and NumPy.
 </li>
 <li>
 
 Databases:
 
 Strong knowledge of SQL and experience with relational databases.
 </li>
 <li>
 
 Visualization Tools:
 
 Experience with tools like Tableau, Power BI, or Matplotlib.
 </li>
 </ul>
 
 
</div>

Envision Employment Solutions

Envision Employment Solutions is currently looking for a Senior Data Scientist for one of our partners, a global leader in the IT Services and IT Consulting.
 
Requirements: 
<ul>
<li>Qualifications</li>
<li>Bachelor’s or Master’s degree in Data Science, AI, or Computer Science.</li>
<li>4 to 6 years of experience is required,</li>
<li>Strong record of production-grade ML/NLP projects.</li>
<li>Experience leading small data science teams or research initiatives.</li>
<li>Technical Requirements</li>
<li>Deep expertise in model architecture design, feature stores, and model monitoring.</li>
<li>Experience in ensemble blending, A/B testing, and model explainability (SHAP, LIME).</li>
<li>Builds and fine-tunes transformer-based models for custom tasks (summarization, Q&A, document intelligence).</li>
<li>Implements RAG (Retrieval-Augmented Generation) and embedding-based semantic search.</li>
<li>Integrates vector databases (Pinecone, FAISS, Chroma).</li>
<li>Uses LangChain or LlamaIndex for orchestration.</li>
<li>Evaluates and optimizes prompt templates and context length efficiency.</li>
<li>Designs data pipelines (Airflow, Spark, Dataiku).</li>
<li>Deploys scalable APIs, manages CI/CD, monitoring, and drift detection.</li>
<li>Works closely with product and engineering teams to embed AI in production systems.</li>
<li>Leadership & Soft Skills</li>
<li>Leads small teams or workstreams.</li>
<li>Ensures project quality, deadlines, and alignment with business KPIs.</li>
<li>Coaches mid-level team members and contributes to talent development.</li>
</ul>

Senior Data Scientist

Celfocus

<div>
 
 Make an impact
 
 by working for sectors where technology is the enabler, everything is ground-breaking and there&rsquo;s a constant need to be innovative.
 
 
 
 Create and enhance projects
 
 in Java, Python, Angular, PHP, .NET and so much more while diving in the world of Blockchain, Artificial Intelligence, Data Science, Security and Internet of Things.
 
 
 
 Be part of the team
 
 that combines business knowledge, technological edge and a design experience. Our different backgrounds and know-how are key in developing solutions and experiences for digital clients.
 
 
 
 Face challenges
 
 and learn other ways of thinking and seeing the world - there&rsquo;s always room for your energy and creativity.
 
 
 
 About The Role
 
 
 
 As a Senior Data Scientist, you will be responsible for leading the design of solutions and managing the teams developing them within a project. You will also be responsible for selecting a team with the appropriate skillset or alternatively ensuring that the team acquires the required capabilities in due time. You must also ensure proper solution delivery, monitoring, and governance using MLOps.
 
 
 
 As a part of your job, you will:
 
 
 
 <ul>
 <li>
 Leverage data and domain knowledge to solve business problems and create quantifiable value.
 </li>
 <li>
 Work cross-functionally to define problem statements, collect data, build analytical models, and design suitable solutions.
 </li>
 <li>
 Build and maintain (or lead the development of) data-driven optimization models, experiments, forecasting algorithms, and capacity constraint models.
 </li>
 <li>
 Lead teams into delivering models using best MLOps practices.
 </li>
 <li>
 Communicate final recommendations and support decision-making.
 
 
 
 </li>
 </ul>
 
 What are we looking for?
 
 
 
 <ul>
 <li>
 Degree in an analytical field (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science);
 </li>
 <li>
 Scripting with Python and nice to have one of these languages (e.g., Pyspark, Spark-mllib);
 </li>
 <li>
 Experienced with packages such as NumPy, SciPy, Pandas, Scikit-learn, matplotlib, and tensorflow/pytorch;
 </li>
 <li>
 4-5 Years of project experience as a Data Scientist;
 </li>
 <li>
 Professional experience with Java, Scala, or Spark;
 </li>
 <li>
 Experience working with and leading teams in a project environment;
 </li>
 <li>
 Experience in delivering projects using MLOps best practices.
 
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 1+ years of SQL experience;
 </li>
 <li>
 Experience in distribution-based architectures such as Cloudera, AWS, Microsoft Azure Cloud, and GCP (Google Cloud Platform), among others;
 </li>
 <li>
 Knowledge of Data Governance.
 
 
 
 </li>
 </ul>
 
 Personal traits
 
 
 
 <ul>
 <li>
 Ability to adapt to different contexts, teams and Clients;
 </li>
 <li>
 Teamwork skills but also a sense of autonomy;
 </li>
 <li>
 Motivation for international projects and ok if travel is included;
 </li>
 <li>
 Willingness to collaborate with other players;
 </li>
 <li>
 Strong communication skills.
 
 
 
 </li>
 </ul>
 At Celfocus, we are committed to cultivate a diverse and inclusive workplace. As an equal-opportunity employer, we welcome applicants of all backgrounds, gender identities, and abilities. We are dedicated to providing reasonable accommodations for candidates with specific needs. If you require any adjustments during the selection process, please inform our Talent Acquisition Team.
 
 
 
 Come join the Team!
 
 
 
 
 Celfocus is pioneering the future of business through Next-Gen Intelligence - the convergence of data, AI, and human creativity to build more autonomous and adaptive organisations.
 
 
 
 Guided by our core belief - Making Data Actionable - we partner with leading companies to co-create intelligent solutions that turn data into insight, agility, and business value.
 
 
 Operating in over 25 countries, we bring together business experts, data scientists, and AI engineers to turn complexity into clarity and vision into measurable impact.
 
 
 Founded in 2000, Celfocus is part of Novabase, listed on Euronext Lisbon.
 
 
 To know more, visit www.celfocus.com
</div>

Explore 1546+ Data scientist in Support Senior Specialist Revenue Management Broadband Jobs In Egypt this November. Find roles across top companies and apply now to boost your career.

1546 data scientist jobs IN Support Senior Specialist Revenue Management Broadband Jobs In Egypt

Data Scientist

Data Scientist

AI Data Scientist

Data Scientist

Data Scientist

Senior Data Scientist

Senior Data Scientist