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associate data scientist

Bosta

<div>
 About Bosta:
 
 
 Launched in 2017, Bosta is an overnight delivery provider for E-commerce companies in Egypt. Leveraging technology to empower businesses is what we do best. Our goal is to disrupt the logistics industry by bringing technology and experience together to provide a one-stop shop for delivery solutions.
 
 
 We rely on advanced technology to deliver orders to our customers in a fast way. Businesses can track and connect with couriers and follow up on their orders - all in one system.
 
 
 Job code: New 2026TECH-721
 
 
 
 Job Responsibilities:
 
 
 
 <ul>
 <li>
 Build AI-powered systems using NLP, LLMs, and agentic workflows
 </li>
 <li>
 Develop NLP solutions for tasks such as text classification, entity extraction, intent detection, summarization, and sentiment analysis
 </li>
 <li>
 Design and implement agentic AI systems that reason over conversations, historical data, and business rules
 </li>
 <li>
 Apply traditional machine learning techniques for prediction, classification, and optimization
 </li>
 <li>
 Use operations research techniques (optimization, heuristics, simulations) to support logistics and operational decision-making
 </li>
 <li>
 Collaborate with product, engineering, operations, and commercial teams to translate business problems into data science solutions
 </li>
 <li>
 Build end-to-end pipelines: data ingestion, feature engineering, modeling, evaluation, deployment, and monitoring
 </li>
 <li>
 Deploy models and AI services to production using cloud platforms and modern MLOps practices
 
 
 
 </li>
 </ul>
 
 Job Qualifications:
 
 
 
 <ul>
 <li>
 1&ndash;3 years of experience in Data Science, Machine Learning, or applied AI roles
 </li>
 <li>
 Strong foundation in data science and statistics
 </li>
 <li>
 Solid experience with traditional machine learning (e.g., regression, tree-based models, clustering, time series)
 </li>
 <li>
 Strong Python skills and familiarity with common ML/NLP libraries (scikit-learn, spaCy, NLTK, Hugging Face, etc.)
 </li>
 <li>
 Understanding of software engineering fundamentals (APIs, version control, testing)
 </li>
 <li>
 Hands-on knowledge of NLP:Text preprocessing and feature extractionClassical NLP models and modern embeddingsExperience with tasks like classification, NER, topic modeling, or text similarityExperience working with LLMs for NLP tasks (prompting, fine-tuning or adaptation, chaining, tool usage)
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 ITI Data Science track graduate (or equivalent technical training or post-graduate studies)
 </li>
 <li>
 Knowledge of Operations Research (optimization, routing, scheduling, simulations)
 </li>
 <li>
 Experience with cloud computing (AWS, GCP, or Azure)
 </li>
 <li>
 Familiarity with model deployment and MLOps practices (Docker, CI/CD, monitoring)
 </li>
 <li>
 Experience building agentic AI or multi-step NLP systems
 </li>
 <li>
 Exposure to Arabic and multilingual NLP is a plus
 </li>
 <li>
 Experience with vector databases, retrieval systems, or RAG pipelines
 </li>
 <li>
 Familiarity with conversational AI or chat-based systems
 </li>
 <li>
 Background in logistics, marketplaces, or large-scale operations
 
 
 
 </li>
 </ul>
 
 Why Join the Data Science Team at Bosta?
 
 
 
 <ul>
 <li>
 Build high-impact AI, ML and Decision Support systems used daily by operations and commercial teams
 </li>
 <li>
 Work on real production use cases, not just experiments
 </li>
 <li>
 Grow your skills in AI and Data Science
 </li>
 <li>
 Ownership, autonomy, and collaboration in a fast-growing tech environment
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Associate Data Scientist

EVA pharma

<div>
 
 Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for&nbsp;Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for&nbsp;our team members.
 
 
 
 Job Summary:
 
 
 We are seeking a passionate and talented
 
 Data Scientist II
 
 to join our dynamic team. The&nbsp;ideal candidate will contribute to our mission of enhancing human health and well-being,&nbsp;ensuring that we meet the highest standards of excellence in our industry.
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Collect, clean, and analyze structured and unstructured datasets to uncover insights and support data-driven decisions. Build and validate predictive models and machine learning algorithms to address business and healthcare challenges
 </li>
 <li>
 Apply cutting-edge techniques such as large language models, fine-tuning, and retrieval-augmented generation to create generative AI solutions for areas like drug discovery, clinical research, and patient engagement
 </li>
 <li>
 Conduct statistical tests, identify key patterns and correlations, and design experiments to validate hypotheses and measure impact
 </li>
 <li>
 Translate analytical findings into clear, actionable insights through Power BI dashboards and visual reports that inform strategic and operational decisions
 </li>
 <li>
 Stay current with emerging AI and ML technologies, apply modern data science tools to enhance efficiency, and collaborate with data engineers to deploy and optimize production-ready models
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Statistics, or a related field
 </li>
 </ul>
 <ul>
 <li>
 2-4 years of experience as a Data Scientist or in a similar analytical role
 </li>
 <li>
 Strong command of Python and SQL, with hands-on experience using machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
 </li>
 <li>
 Familiarity with modern Generative AI frameworks and tools, including Hugging Face and LangChain, is highly desirable, with a Solid foundation in statistics, data analysis, and hypothesis testing, along with proficiency in Power BI for creating dashboards and reports
 </li>
 <li>
 Experience working with cloud platforms (e.g. Azure, or GCP), strong problem-solving abilities, and the capability to communicate complex analytical insights clearly to diverse audiences
 </li>
 </ul>
</div>

Data Scientist II

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>

Senior Data Scientist

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 5268
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 We are seeking for a Data Engineer who will empower sonnen&rsquo;s business with data-driven insights, services and products with the help of sonnen&rsquo;s AWS-based analytics platform and by provisioning data from various sources from within and outside the company.
 
 
 We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 You develop and maintain data analysis processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You collaborate with the business SMEs and stakeholders to understand their data requirements and support their analysis and modeling needs.
 </li>
 <li>
 You adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Gitlab).
 </li>
 <li>
 You stay up-to-date with emerging trends and technologies in data engineering, and assess their potential applications to our business needs.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 You hold a bachelor&rsquo;s degree in Computer Science or a related technical field
 </li>
 <li>
 You have 3+ years of relevant employment experience (Data Scientist, Engineer or Architect)
 </li>
 <li>
 You have experience with data architecture and warehousing solutions (e.g. AWS Redshift, Databricks)
 </li>
 <li>
 You continue to enhance the existing platform, creating the technical foundation for scalable processes. Both data and result quality are important to you.
 </li>
 <li>
 You have good knowledge of Python, Pandas, SQL, NoSQL, RestAPI
 </li>
 <li>
 You are fluent in English. German is a plus.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Computer Science, Quality Assurance, SQL, Database, Technology
</div>

Data Engineer (m/w/d)

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
 </li>
 <li>
 You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
 </li>
 <li>
 You develop and maintain data integration processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
 </li>
 <li>
 Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
 </li>
 <li>
 You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
 </li>
 <li>
 (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related technical field.
 </li>
 <li>
 +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
 </li>
 <li>
 +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
 </li>
 <li>
 Experience with Big Data technologies such as Hadoop, Hive, and Spark.
 </li>
 <li>
 Ability to translate organizational goals into technical solutions.
 </li>
 <li>
 Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
 </li>
 <li>
 Proficiency in Python, SQL, and NoSQL.
 </li>
 <li>
 Excellent communication and project management skills.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Computer Science, Data Warehouse, Quality Assurance, Project Manager, Business Intelligence, Technology
</div>

Data Engineer (m/f/d)

Coca-Cola HBC

<div>
 
 
 Location:
 
 New Cairo, Egypt
 
 
 
 Department:
 
 Data Science &amp; AI
 
 
 
 Role reports to:
 
 Data Science &amp; AI Manager
 
 
 
 Contract Type:
 
 Permanent
 
 
 
 Work Model:
 
 Hybrid (4 days from office)
 
 
 
 
 
 
 
 
 We are seeking a seasoned and self-organizing Senior Data Scientist to join our Data Science in Digital Commerce team. This role is ideal for someone who combines deep technical expertise with strategic thinking and a strong sense of initiative. You will be expected to proactively drive progress, anticipate project needs, and ensure that analytical work is not only technically sound but also aligned with business priorities and customer impact. The role requires someone who naturally engages across teams and stakeholders, contributing to a collaborative and outcome-oriented environment.
 
 
 
 
 
 
 IN THIS EXCITING ROLE YOU WILL:
 
 
 
 
 
 
 &bull; Lead development and deployment of advanced analytics and traditional machine learning solutions as proof-of-concept and in production environments.
 
 
 &bull; Manage sub-project workflows independently, identifying next steps and ensuring timely execution (at user story level or even feature level).
 
 
 &bull; Collaborate with cross-functional teams to translate complex analytical findings into clear, actionable recommendations for both technical and non-technical audiences.
 
 
 &bull; Stay current with emerging technologies, with a particular focus on Generative AI and its practical applications.
 
 
 &bull; Deliver scalable, maintainable solutions that support customer and business needs.
 
 
 &bull; Guide the activities of less experienced team members or lead external teams and collaborate with internal Engineering team.
 
 
 &bull; Have opportunities for professional training and certifications as well as mentorship.
 
 
 
 
 
 
 YOU CAN BE SUCCESFULL IN THIS ROLE IF YOU HAVE:
 
 
 
 
 
 
 &bull; MSc or PhD in Data Science, Engineering or a related field.
 
 
 &bull; A mindset geared toward ownership, communication, initiative, and continuous improvement.
 
 
 &bull; Interest in gaining domain specific knowledge concerning the business model of Coca Cola Hellenic.
 
 
 &bull; Minimum 5 years of experience in data science roles, with a strong track record of delivering analytics solutions (propensity modeling, forecasting, optimization) both as proof-of-concept and in production.
 
 
 &bull; Proficiency in Python/Pyspark, SQL and ML libraries, and ideally certification(s) in Databricks or Azure, as well as experience with PowerBI. Other cloud services are also acceptable.
 
 
 &bull; Concrete experience in SAFe-agile as way of working, as well as DevOps/MLOps in development.
 
 
 &bull; Strong, self-driven exposure in GenAI. Familiarity with Microsoft Copilot Studio and Foundry will be appreciated.
 
 
 &bull; Great communication skills and the ability to engage with both technical and business stakeholders.
 
 
 &bull; Functional experience in the Digital area (such as Marketplaces, B2C apps, e-Retailers) is a plus.
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 
 
 
 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 i
 
 
 mpact.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.
 
 
 
 
 
 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.And although we have so much to be proud of, we always stay humble. We believe the real magic happens - for us and for you - when we OPEN UP.
 
 
 
 
 
 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.
 
</div>

Majid Al Futtaim

<div>
 
 JOB TITLE
 
 
 
 Associate- Business Analyst | MAF Retail | Head Office Egypt
 
 
 
 Role Summary
 
 
 
 The Business Analyst role is responsible for building reports, analysing performance metrics, and generating actionable insights across the Operations, Marketing Communications, and Commercial departments.
 
 
 
 ROLE PROFILE
 
 
 
 <ul>
 <li>
 Collect, process, and analyze data from diverse sources to create insightful reports.
 </li>
 <li>
 Develop regular and ad hoc reports to monitor key performance indicators (KPIs) for operations, marketing, content, and commercial teams.
 </li>
 <li>
 Present findings and recommendations to managers and VPs.
 </li>
 <li>
 Liaise with operations, marketing communications, and commercial teams to understand their requirements and provide data-driven insights.
 </li>
 <li>
 Identify trends, patterns, and areas for improvement in business processes and performance.
 </li>
 <li>
 Monitor industry trends, competitor activities, and consumer behavior to inform strategies.
 </li>
 <li>
 Assist in developing and updating dashboards to track market performance and consumer insights.
 </li>
 <li>
 Utilize data analytics tools to extract and present relevant data.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in related field is preferable.
 </li>
 <li>
 0-2 years in related function.
 </li>
 <li>
 Data driven and analytical.
 </li>
 <li>
 Attentive to details.
 </li>
 <li>
 Good problem-solving skills.
 </li>
 <li>
 Innovative and creative.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 At Majid Al Futtaim, we&rsquo;re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We&rsquo;re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us!
 </li>
 <li>
 Work in a friendly environment, where everyone shares positive vibes and excited about our future.
 </li>
 <li>
 Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.
 </li>
 </ul>
</div>

Associate- Business Analyst

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292 associate data scientist jobs IN Cairo Jobs In Credit Digitalization Jobs In Cairo Jobs In Cairo

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