senior software engineer

data analyst

ai developer

ai engineer

ai engineer, light

data scientist machine learning engineer

Capgemini

<div><div><div><p>Cairo</p><div>
Data Scientist (Machine Learning Engineer)</div><p>
</p></div></div><p></p><div><div><div><div><div><div>
About Capgemini</div><div>
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.</div><div>
</div><div></div><p>Job Responsibities:</p><p><br>
Machine Learning &amp; AI Solutions</p><ul><li>
Design and implement Agentic AI solutions and applications.</li><li>
Experience in Data Science, Data Mining, Machine Learning tasks (e.g. feature engineering, model training, evaluation, and deployment).</li><li>
Monitor model performance and implement retraining strategies to ensure long-term accuracy and relevance.</li></ul><p>
Cloud &amp; Data Engineering</p><ul><li>
Collaborate with data engineers to ensure robust data preprocessing, transformation, and storage strategies.</li></ul><p>
MLOps &amp; Automation</p><ul><li>
Familiarity with CI/CD pipelines tailored for ML workflows, including automated testing, model versioning, and deployment.</li></ul><p>
Collaboration &amp; Innovation</p><ul><li>
Work closely with cross-functional teams including data scientists, product managers, and business stakeholders to translate business needs into technical solutions.</li><li>
Contribute to knowledge sharing and best practices across the team.</li></ul><p>
</p><p>Job Requirements:</p><p>
</p><p>Technical Skills:</p><ul><li>
Strong proficiency in python, data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and agentic application development libraries (e.g. LangChain, LangGraph).</li><li>
Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).</li><li>
Familiarity with cloud platforms (Azure, AWS, GCP) and their ML services.</li><li>
Familiarity with MLOps practices, including CI/CD, containerization (Docker), and orchestration (Kubernetes).</li><li>
Familiarity with Git and collaborative development workflows.</li></ul><p>
Experience:</p><ul><li>
2-5 years of experience in solving real-world business problems using AI</li></ul><ul><li>
Proven track record of deploying and maintaining ML models in production environments.</li></ul><p>
Communication Skills:</p><ul><li>
Excellent written and verbal communication skills to collaborate effectively with cross-functional teams.</li><li>
Fluent in Arabic &amp; English, both spoken and written (German is a plus!)</li><li>
Able to listen to and understand customer needs and articulate them as technical requirements to the team.</li></ul><p>
Additional Skills:</p><ul><li>
Strong problem-solving abilities and attention to detail.</li><li>
Ability to work collaboratively in a team environment.</li><li>
Self-motivated with a continuous learning mindset.</li></ul></div></div><div><div><div>
<div><div>Ref. code</div><div>
362478-en_US</div></div><div><div>
Posted on</div><div>
08 Mar 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Cairo</div></div><div><div>
Business unit</div><div>
INVENT</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

Data Scientist (Machine Learning Engineer)

<div>
 <strong>
  About Capgemini
  <br/>
  <br/>
 </strong>
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.
 <br/>
 <br/>
 <strong>
  Job Responsibities
  <br/>
  <br/>
 </strong>
 <strong>
  Machine Learning &amp; AI Solutions
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and implement Agentic AI solutions and applications.
  </li>
  <li>
   Experience in Data Science, Data Mining, Machine Learning tasks (e.g. feature engineering, model training, evaluation, and deployment).
  </li>
  <li>
   Monitor model performance and implement retraining strategies to ensure long-term accuracy and relevance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Cloud &amp; Data Engineering
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collaborate with data engineers to ensure robust data preprocessing, transformation, and storage strategies.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  MLOps &amp; Automation
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Familiarity with CI/CD pipelines tailored for ML workflows, including automated testing, model versioning, and deployment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Collaboration &amp; Innovation
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work closely with cross-functional teams including data scientists, product managers, and business stakeholders to translate business needs into technical solutions.
  </li>
  <li>
   Contribute to knowledge sharing and best practices across the team.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Technical Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong proficiency in python, data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and agentic application development libraries (e.g. LangChain, LangGraph).
  </li>
  <li>
   Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).
  </li>
  <li>
   Familiarity with cloud platforms (Azure, AWS, GCP) and their ML services.
  </li>
  <li>
   Familiarity with MLOps practices, including CI/CD, containerization (Docker), and orchestration (Kubernetes).
  </li>
  <li>
   Familiarity with Git and collaborative development workflows.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2-5 years of experience in solving real-world business problems using AI
  </li>
  <li>
   Proven track record of deploying and maintaining ML models in production environments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Communication Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Excellent written and verbal communication skills to collaborate effectively with cross-functional teams.
  </li>
  <li>
   Fluent in Arabic &amp; English, both spoken and written (German is a plus!)
  </li>
  <li>
   Able to listen to and understand customer needs and articulate them as technical requirements to the team.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong problem-solving abilities and attention to detail.
  </li>
  <li>
   Ability to work collaboratively in a team environment.
  </li>
  <li>
   Self-motivated with a continuous learning mindset.
  </li>
 </ul>
</div>


Integrant

<div><p>We Are Hiring!</p><p>
Integrant is looking for game changers to join our team as &quot;Principal - Data Scientist&quot; with below roles and responsibilities:</p><p></p><ul>
<li>Use mathematics, statistics and computer science to extract knowledge and insights from structured, semi-structured and unstructured data in order to assist our clientele to make better data driven decisions.</li>
<li>Conduct open research when necessary to develop new algorithms and methods to address specific needs a client might have to which no known algorithms or methods could suffice as a solution.</li>
<li>Engage in activities of requirement elicitation with our clientele in regards to potential data science workloads.</li>
<li>Mentor junior members on the team in data science.</li>
Deliver machine learning models to clients and contribute in knowledge transfer.<br>
<li>
</li></ul><br>
<br>
<b>Requirements</b><br>
<ul>
<li>All in all experience around 7 years.</li>
<li>5+ years of experience with Data Science workloads.</li>
<li>MSc in Computer Science or other equivalent quantitative field.</li>
<li>Familiarity with classification, clustering, regression and association rule mining.</li>
<li>Familiarity with one or more standard open source machine learning frameworks (Sklearn, Tensorflow, Keras, etc.).</li>
<li>Familiarity with Azure Cognitive Services and Azure ML.</li>
<li>Familiarity with AWS SageMaker.</li>
<li>Experience with deploying models to production.</li>
<li>Experience with monitoring models post production and detecting concept drift.</li>
<li>Familiarity with Deep Learning.</li>
<li>Extensive experience with Python.</li>
<li>Familiarity with conducting open scientific research.</li>
</ul><p></p>Nice to Have<ul>
<li>Familiarity with Re-enforcement Learning.</li>
<li>Familiarity with Stochastic Local Search Methods.</li>
<li>Familiarity with MLOps on Azure.</li>
<li>Familiarity with MLOps on AWS.</li>
<li>Familiarity with building data pipelines on Azure.</li>
<li>Familiarity with building data pipelines on AWS.</li>
<li>Familiarity with single and multi-objective optimization techniques</li><br>
</ul><br>
<br>
<b>Benefits</b><br>
<ul>
<li>Salary paid in USD</li>
<li>Six-month career advancing opportunities</li>
<li>Employee parking space</li>
<li>Supportive and friendly work environment</li>
<li>Premium medical insurance [employee +family]</li>
<li>English language development courses</li>
<li>Interest-free loans paid over 2.5 years</li>
<li>Technical development courses</li>
<li>Planned overtime program (POP)</li>
<li>Employment referral program</li>
<li>Premium location in Maadi &amp; Nasr City</li>
<li>Social insurance</li>
<li>Opportunity to travel and work onsite with U.S. customers</li>
<li>In-house Technical and English training programs</li>
<li>Dedicated learning time (check out our 4Plus1 Program)</li>
<li>Flexible work schedules</li>
<li>Perks: events, sponsored lunch, game area, rooftop hangout + more!</li></ul></div>

Principal Data Scientist

Finaira

<div>
 <p>
  The Principal Data Scientist will provide strategic technical leadership and direction for data science initiatives across the organization, particularly within the financial sector. This role is responsible for driving innovation, setting technical standards, mentoring a team of data scientists, and collaborating with senior stakeholders to define and deliver high-impact AI and machine learning solutions that align with business strategy and drive significant value.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The difference you will make
  </strong>
 </p>
 <ul>
  <li>
   Define the technical data science strategy and roadmap.
  </li>
  <li>
   Lead the research and development of cutting-edge AI solutions.
  </li>
  <li>
   Evaluate and implement new data science technologies and platforms.
  </li>
  <li>
   Provide technical leadership and guidance to the data science team.
  </li>
  <li>
   Ensure the scalability and reliability of data science infrastructure.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <ul>
  <li>
   Master&rsquo;s degree or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field with an exceptional academic record
  </li>
 </ul>
 <p>
  <strong>
   Experience:
  </strong>
 </p>
 <ul>
  <li>
   8+ years of progressive experience in data science, with more than 2 years spent leading and successfully delivering complex AI/ML projects with demonstrable business impact
  </li>
  <li>
   Extensive and deep experience in the financial services industry, with a comprehensive understanding of financial data, regulations, and business challenges
  </li>
  <li>
   Proven experience in leading and mentoring data science teams
  </li>
  <li>
   A strong portfolio showcasing the successful application of AI/ML to solve significant financial problems (e.g., transformative fraud prevention systems, advanced risk management platforms, high-impact algorithmic trading strategies, game-changing customer analytics solutions)
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Skills:
  </strong>
 </p>
 <ul>
  <li>
   Expert-level mastery in multiple programming languages relevant to data science (e.g., Python, R, Scala, Java) and their associated libraries and frameworks.
  </li>
  <li>
   Deep and comprehensive expertise across a wide range of machine learning frameworks, including advanced knowledge of deep learning architectures and specialized tools.
  </li>
  <li>
   Exceptional understanding of both foundational and cutting-edge statistical concepts and ML algorithms, including deep learning architecture and specialized tools.
  </li>
  <li>
   Deep understanding of Data and AI governance frameworks and requirements.
  </li>
  <li>
   Advanced mathematical skills, demonstrating a strong theoretical understanding and practical application to complex financial problems.
  </li>
  <li>
   Expert-level proficiency in SQL and a variety of database management systems (both relational and NoSQL), with the ability to design and optimize data storage and retrieval for large-scale AI/ML applications.
  </li>
  <li>
   Extensive experience with advanced data visualization tools and the ability to communicate complex insights to executive audiences through compelling visuals and narratives.
  </li>
  <li>
   Deep and practical experience with cloud computing platforms (AWS, Azure, GCP) and their comprehensive suite of AI/ML services, including architecting and deploying scalable solutions.
  </li>
  <li>
   Proven expertise in designing and working with large, complex data sets and big data technologies (Hadoop, Spark, etc.), including the ability to optimize data processing workflows for performance and scalability.
  </li>
  <li>
   Mastery of various distributed databases (Hive, Impala, Redis, etc.) and a proven ability to design and implement efficient data storage and access patterns for AI/ML workloads.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Soft Skills
  </strong>
 </p>
 <ul>
  <li>
   Strong ownership and accountability for assigned work.
  </li>
  <li>
   Clear and professional verbal and written communication.
  </li>
  <li>
   Effective time management and task prioritization.
  </li>
  <li>
   Analytical thinking and problem-solving skills.
  </li>
  <li>
   Ability to work independently, collaborate effectively and mentor junior team members.
  </li>
  <li>
   Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
  </li>
  <li>
   Adaptability and learning agility in a fast-paced environment.
  </li>
  <li>
   Strong attention to detail and a commitment to quality.
  </li>
  <li>
   Receptiveness to feedback and continuous improvement mindset.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  .
 </p>
</div>


<div><p>The Principal Data Scientist will provide strategic technical leadership and direction for data science initiatives across the organization, particularly within the financial sector. This role is responsible for driving innovation, setting technical standards, mentoring a team of data scientists, and collaborating with senior stakeholders to define and deliver high-impact AI and machine learning solutions that align with business strategy and drive significant value.</p><p></p><p><b>
The difference you will make:</b></p><ul><li>
Define the technical data science strategy and roadmap.</li><li>
Lead the research and development of cutting-edge AI solutions.</li><li>
Evaluate and implement new data science technologies and platforms.</li><li>
Provide technical leadership and guidance to the data science team.</li><li>
Ensure the scalability and reliability of data science infrastructure.</li></ul><br>
<b>
Requirements</b><p><b><br>
Education:
</b></p><ul><li>Master&rsquo;s degree or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field with an exceptional academic record.</li></ul><p><b>
Experience:</b></p><ul><li>
8+ years of progressive experience in data science, with more than 2 years spent leading and successfully delivering complex AI/ML projects with demonstrable business impact.</li><li>
Extensive and deep experience in the financial services industry, with a comprehensive understanding of financial data, regulations, and business challenges.
</li><li>Proven experience in leading and mentoring data science teams.
</li><li>A strong portfolio showcasing the successful application of AI/ML to solve significant financial problems (e.g., transformative fraud prevention systems, advanced risk management platforms, high-impact algorithmic trading strategies, game-changing customer analytics solutions)</li></ul><p><b>
Technical Skills:
</b></p><ul><li>Expert-level mastery in multiple programming languages relevant to data science (e.g., Python, R, Scala, Java) and their associated libraries and frameworks.</li><li>
Deep and comprehensive expertise across a wide range of machine learning frameworks, including advanced knowledge of deep learning architectures and specialized tools.</li><li>
Exceptional understanding of both foundational and cutting-edge statistical concepts and ML algorithms, including deep learning architecture and specialized tools.</li><li>
Deep understanding of Data and AI governance frameworks and requirements.
</li><li>Advanced mathematical skills, demonstrating a strong theoretical understanding and practical application to complex financial problems.
</li><li>Expert-level proficiency in SQL and a variety of database management systems (both relational and NoSQL), with the ability to design and optimize data storage and retrieval for large-scale AI/ML applications.</li><li>
Extensive experience with advanced data visualization tools and the ability to communicate complex insights to executive audiences through compelling visuals and narratives.
</li><li>Deep and practical experience with cloud computing platforms (AWS, Azure, GCP) and their comprehensive suite of AI/ML services, including architecting and deploying scalable solutions.
</li><li>Proven expertise in designing and working with large, complex data sets and big data technologies (Hadoop, Spark, etc.), including the ability to optimize data processing workflows for performance and scalability.
</li><li>Mastery of various distributed databases (Hive, Impala, Redis, etc.) and a proven ability to design and implement efficient data storage and access patterns for AI/ML workloads.</li></ul><p><b>
Soft Skills:</b></p><ul><li>
Strong ownership and accountability for assigned work.
</li><li>Clear and professional verbal and written communication.</li><li>
Effective time management and task prioritization.</li><li>
Analytical thinking and problem-solving skills.</li><li>
Ability to work independently, collaborate effectively and mentor junior team members.</li><li>
Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.</li><li>
Adaptability and learning agility in a fast-paced environment.</li><li>
Strong attention to detail and a commitment to quality.</li><li>
Receptiveness to feedback and continuous improvement mindset.</li></ul><p></p><p>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</p></div>

Coca-Cola HBC

<div>
 <p>
  <strong>
   Department
  </strong>
  : Data, Insights &amp; AI Products &amp; Platforms
 </p>
 <p>
  <strong>
   Location
  </strong>
  : Egypt (Cairo).
 </p>
 <p>
  <br/>
 </p>
 <p>
  As an Artificial Intelligence (AI) Developer will join our growing DTPS Visual Analytics team. He/She will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. He/She will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence. This role includes AI development in Power BI to deliver intelligent, data-driven visual analytics.
 </p>
 <p>
  He/She will collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to bring AI-powered solutions to life.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   YOUR NEW KEY RESPONSIBILITIES:
  </strong>
 </p>
 <p>
  &bull; Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI.
 </p>
 <p>
  &bull; Integration of advanced AI features into Power BI reports.
 </p>
 <p>
  &bull; Use of AI visuals like decomposition trees, key influencers, and Q&amp;A.
 </p>
 <p>
  &bull; Collaboration with business users to deliver intelligent, AI-powered dashboards.
 </p>
 <p>
  &bull; Embedding machine learning models into Power BI using Azure ML.
 </p>
 <p>
  &bull; Enabling predictive analytics and NLP (Natural Language Processing) within reports.
 </p>
 <p>
  &bull; Participate in code and design reviews to maintain a high-quality codebase.
 </p>
 <p>
  &bull; Collaborate across teams to help with AI adoption and best practices.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ARE THESE YOUR SECRET INGREDIENTS?
  </strong>
 </p>
 <p>
  &bull; Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 </p>
 <p>
  &bull; 3+ years of experience in AI, machine learning, or applied analytics, ideally with a focus on business intelligence tools.
 </p>
 <p>
  &bull; Proven experience developing AI-powered solutions in Power BI, including use of AI visuals (e.g., key influencers, decomposition trees, Q&amp;A), and integrating ML models via Azure ML.
 </p>
 <p>
  &bull; Strong understanding of Power BI architecture, DAX, Power Query, and data modeling best practices.
 </p>
 <p>
  &bull; Familiarity with Azure AI Services (e.g., OpenAI, AI Search, AI Language, AI Document Intelligence) and their integration into Power BI.
 </p>
 <p>
  &bull; Experience with Python and basic ML frameworks (e.g., scikit-learn) and model optimization in Power BI.
 </p>
 <p>
  &bull; Understanding of natural language processing (NLP) and its application in business reporting is a plus.
 </p>
 <p>
  &bull; Hands-on experience with Azure Machine Learning, Databricks, or Synapse Analytics is beneficial &ndash; focus on data preparation pipelines that feed into Power BI.
 </p>
 <p>
  &bull; Comfortable working in Agile environments using tools like Azure DevOps.
 </p>
 <p>
  &bull; Azure certifications (e.g., Azure Data Scientist Associate, Power BI Data Analyst Associate) are a plus.
 </p>
 <p>
  &bull; Strong analytical thinking, communication, and stakeholder collaboration skills.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ABOUT YOUR NEW TEAM
  </strong>
 </p>
 <p>
  We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 </p>
 <p>
  We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 </p>
 <p>
  We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 </p>
 <p>
  And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
  </strong>
 </p>
 <p>
  At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 </p>
</div>


AI Developer

RATP Dev Mobility Cairo

<div>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 The Data Scientist is responsible for leveraging data to generate insights, support decision-making, and enhance operational efficiency. The role focuses on analyzing complex datasets from various business systems (such as timetables, schedules, ridership data, and maintenance systems) and translating them into actionable intelligence. This includes developing data-driven models, creating dynamic visualizations, and collaborating with stakeholders to improve data adoption and utilization across the organization.
 <br/>
 <br/>
 <strong>
  Responsibilities/Duties
  <br/>
  <br/>
 </strong>
 <strong>
  Profil de candidat recherch&eacute; :
  <br/>
  <br/>
 </strong>
 <strong>
  Data Science &amp; Analytics
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Perform data transformations, cleaning, and preprocessing to ensure quality and reliability.
  </li>
  <li>
   Design, test, and implement machine learning and AI models to support predictive and operational needs.
  </li>
  <li>
   Maintain and update a library of analytical tools, scripts, and programs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Business Intelligence &amp; Visualization
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain interactive dashboards and reporting solutions using Power BI, Qlik Sense, and other tools.
  </li>
  <li>
   Build dynamic visualizations that support decision-making across operations and maintenance functions.
  </li>
  <li>
   Document processes and maintain user guides to ensure smooth adoption of reporting solutions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Collaboration &amp; Communication
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with internal departments to define data needs, establish data streams, and enhance KPI tracking.
  </li>
  <li>
   Liaise with software vendors and internal teams to ensure desired system features and performance are met.
  </li>
  <li>
   Clearly communicate findings and explain complex concepts to both technical and non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Continuous Improvement &amp; Knowledge Sharing
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Identify opportunities to restructure source data and influence the adoption of cleaner data structures.
  </li>
  <li>
   Provide training sessions, short briefs, and knowledge-sharing activities to upskill colleagues.
  </li>
  <li>
   Promote the use of company data tools, AI models, and portals to increase adoption and business value.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Safety Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Promote a positive safety culture within the workplace and attend any safety-related meetings or briefings as required within the job role.
  </li>
  <li>
   Comply with the requirements of RDMC RQHSE Policy and Safety Management System.
  </li>
  <li>
   Be mindful that Safety, Security, and Environmental protection are everyone&rsquo;s responsibility.
  </li>
  <li>
   All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  ESSENTIAL QUALIFICATIONS, KNOWLEDGE &amp; EXPERIENCE
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Mathematics, or a related STEM field.
  </li>
  <li>
   Additional certifications in Data Science, Machine Learning, AI, or data visualization technologies are an advantage.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Knowledge
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in English; French is a plus.
  </li>
  <li>
   Strong understanding of relational databases (SQL Server, MySQL, Oracle, etc.) with the ability to write queries.
  </li>
  <li>
   Knowledge of data visualization and analytics concepts.
  </li>
  <li>
   Ability to develop practical solutions using data.
  </li>
  <li>
   Proficiency in Microsoft Office applications.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5 years of relevant experience in data science, software development, or data analysis.
  </li>
  <li>
   Hands-on experience in programming (Python, C++ or similar).
  </li>
  <li>
   Practical experience with data visualization tools (Power BI, Qlik, Excel).
  </li>
  <li>
   Proven track record of delivering data science projects as a hands-on implementer.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired Behaviors &amp; Experiences
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Demonstrates curiosity and persistence in identifying insights and creating business value.
  </li>
  <li>
   Able to work independently and collaborate effectively within a team environment.
  </li>
  <li>
   Communicates clearly and confidently, both verbally and in writing, to different audiences.
  </li>
  <li>
   Show adaptability and flexibility when working with diverse stakeholders.
  </li>
  <li>
   Strong problem-solving skills with the ability to manage competing priorities.
  </li>
  <li>
   Takes initiative, meets deadlines, and shows accountability for results.
  </li>
 </ul>
</div>


Data Scientist

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979 data scientist machine learning engineer jobs In Egypt

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