data analyst

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senior data engineer

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data scientist

Coca-Cola HBC

<div>
 
 Department: Data Insights &amp; Artificial Intelligence
 
 
 Location: Cairo, Egypt
 
 
 
 Purpose of the Role
 
 
 
 As a Data Scientist in our Data Science &amp; AI team, you will play a pivotal role in Coca Cola HBC&rsquo;s data-driven transformation. You will develop advanced analytics solutions and turn strategic data assets into actionable insights across our business (spanning 29+ countries). In this mid-senior role, you&rsquo;ll apply your expertise in analytics &amp; machine learning to solve real-world problems and drive value in areas such as route-to-market, omnichannel sales, revenue growth, supply chain, and finance. You will work closely with cross-functional teams to inform decision-making and help embed a data-driven culture. We operate within an Agile delivery model, so you&rsquo;ll also collaborate through tools like Azure DevOps to iterate on solutions quickly and ensure high-quality deployments into production.‑Cola HBC&rsquo;s data-driven transformation. You will develop advanced analytics solutions and turn strategic data assets into actionable insights across our business.
 
 
 In this role, you will contribute to analytics and AI initiatives across multiple functional areas of the business, including Route‑to‑Market, Supply Chain &amp; Planning, People &amp; Culture, Revenue Growth Management &amp; Finance, and Digital Commerce. These areas span a diverse portfolio of use cases, from customer and market segmentation, pricing and promotion optimization, and digital personalization, to forecasting, optimization, automation, and workforce analytics. Working with rich, large‑scale datasets, you will help translate complex business and operational data into scalable, production‑ready analytics and AI solutions that support decision‑making, improve execution, and drive measurable business impact across markets. The exact functional focus will depend on business priorities, product roadmaps, and team needs, ensuring exposure to a broad range of high‑impact problems rather than a single, siloed domain
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Dive into large and complex datasets to identify patterns and opportunities.
 </li>
 <li>
 Translate analytical findings into actionable insights and communicate them effectively.
 </li>
 <li>
 Apply statistical and machine learning techniques to solve business problems.
 </li>
 <li>
 Spearhead the development of pilot solutions and support the lifecycle of the product.
 </li>
 <li>
 Collaborate extensively with business, technical and cross-functional stakeholders to deeply understand challenges and identify opportunities.
 </li>
 <li>
 Ability to clearly articulate findings and insights to technical &amp; non-technical audiences
 </li>
 <li>
 Work with Agile/SAFe delivery models and respective ways of working.
 </li>
 <li>
 Stay up to date with AI/ML advancements and share knowledge with the team.
 </li>
 </ul>
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative or related field.
 </li>
 <li>
 2 to 4 years of hands-on experience in data science or advanced analytics.
 </li>
 <li>
 Experience with ML and statistics, probabilities, regression and classification
 </li>
 <li>
 Demonstrate curiosity and eagerness to communicate across on a day to day basis. Participation in innovation days &amp; hackathons is considered a plus.
 </li>
 <li>
 Problem solving skills, strong analytical mindset and attention to detail
 </li>
 <li>
 Proficiency in Python, Pyspark and SQL.
 </li>
 <li>
 Experience working with big data &amp; ML tools (ML Studio, Databricks ML, Azure Foundry). Azure Databricks is a strong plus.
 </li>
 <li>
 ML Studio, Databricks ML, Azure Foundry
 </li>
 <li>
 Experience in Consumer Product Goods domain is considered a plus.
 </li>
 </ul>
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 We are a family of 33 thousand engaged people. Each and every one of us is the secret ingredient of Coca-Cola HBC &ndash; one of the world&rsquo;s largest bottlers and partner of The Coca-Cola Company. Our everyday mission is to delight over 715 million consumers by offering a choice of over 100 iconic global and favorite local brands in the moments that matter, 24 hours a day, 7 days a week. We are a truly empowered and talented team that drives superior results by winning and learning every day in 29 countries, across 3 continents. Our success comes from us working together as one to make a positive difference for the local communities we serve.
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 Including and celebrating different people and opinions is embedded in our growth story. We are committed to fostering diverse teams that reflect the communities we serve, and to creating an inclusive environment where everyone&rsquo;s unique perspectives are valued and heard. By constantly building a diverse and inclusive workplace, we enrich our decision-making and provide ever more innovative solutions and shared value.
 
 
 
 
</div>

Data Scientist

Dish'd

<div>
 
 Dish&rsquo;d is the UK&rsquo;s fastest-growing franchisor of virtual food brands. We partner with food operators to help them maximise their kitchen capacity by launching and scaling delivery-only brands across the UK.
 
 
 We&rsquo;re looking for a commercially minded Data Scientist to design and build predictive models that directly shape expansion, pricing, and operational decisions across a fast-growing, multi-brand food platform. This is not a reporting role. This is a modelling role.
 
 
 
 
 
 You will build forecasting systems from scratch, own experimentation frameworks, and influence real commercial strategy &mdash; from new site openings to pricing optimisation and franchise performance.
 
 
 
 
 
 
 The Role
 
 
 
 Forecasting &amp; Predictive Modelling (Core Focus)
 
 
 
 
 
 You will design and deploy predictive models that directly support growth and profitability, including:
 
 
 
 
 <ul>
 <li>
 Sales forecasting models for new site openings, brand placement, and territory expansion
 </li>
 <li>
 Demand forecasting at brand, location, and time-of-day level
 </li>
 <li>
 Pricing optimisation models to simulate revenue and margin impact
 </li>
 <li>
 Churn prediction models to identify at-risk franchise partners
 </li>
 <li>
 Customer lifetime value (CLV) and territory saturation analysis
 </li>
 <li>
 Inventory and cost optimisation modelling
 </li>
 </ul>
 
 You&rsquo;ll continuously refine and retrain models as new data becomes available, ensuring accuracy and commercial relevance over time.
 
 
 
 
 
 Experimentation &amp; Statistical Analysis
 
 
 
 
 
 You will own our experimentation framework, including:
 
 <ul>
 <li>
 Designing A/B and multivariate testing for menus, pricing, and marketing
 </li>
 <li>
 Geo-based experimentation across territories
 </li>
 <li>
 Rigorous statistical evaluation of test results
 </li>
 <li>
 Clear communication of findings with actionable recommendations
 </li>
 </ul>
 
 
 
 
 Automation &amp; Operational Analytics
 
 <ul>
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 Build automated monitoring and anomaly detection systems
 </li>
 <li>
 Integrate model outputs into dashboards and reporting workflows
 </li>
 <li>
 Support development of data pipelines feeding model inputs
 </li>
 <li>
 Evaluate and recommend AI-powered tools to improve forecasting accuracy
 </li>
 </ul>
 
 
 
 
 Collaboration &amp; Commercial Impact
 
 
 You&rsquo;ll work closely with the Data Lead and Data Engineer to ensure models are built on clean, reliable warehouse data. You&rsquo;ll also partner with Operations, Marketing, and Finance to translate business challenges into modelling opportunities &mdash; and communicate complex outputs in a clear, compelling way.
 
 
 Your work will feed directly into commercial strategy and board-level reporting.
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 Essential
 
 
 <ul>
 <li>
 3&ndash;5 years&rsquo; hands-on experience in applied data science or predictive analytics
 </li>
 <li>
 Proven experience building forecasting models from scratch in a commercial environment
 </li>
 <li>
 Strong Python skills (pandas, NumPy, scikit-learn, statsmodels, Prophet/NeuralProphet or similar)
 </li>
 <li>
 Deep experience in time series forecasting (ARIMA, SARIMA, Prophet, exponential smoothing, gradient boosting approaches)
 </li>
 <li>
 Experience building regression, classification, and clustering models
 </li>
 <li>
 Strong statistical foundation (hypothesis testing, A/B testing, confidence intervals, causal inference)
 </li>
 <li>
 Solid SQL skills
 </li>
 <li>
 Experience taking models from prototype to production (validation, monitoring, iteration)
 </li>
 <li>
 Excellent communication skills &mdash; able to translate complex outputs for non-technical stakeholders
 </li>
 <li>
 Fluency in spoken and written English (IELTS Level 8 / Cambridge C2 equivalent)
 </li>
 <li>
 Highly organised, detail-oriented, and self-motivated
 </li>
 </ul>
 
 Desirable
 
 <ul>
 <li>
 Experience with Power BI or similar BI tools
 </li>
 <li>
 Familiarity with workflow automation tools (Airflow, n8n, etc.)
 </li>
 <li>
 Cloud deployment experience (Azure, GCP, AWS)
 </li>
 <li>
 NLP / sentiment analysis experience
 </li>
 <li>
 Background in food delivery, QSR, logistics, or other fast-moving industries
 </li>
 <li>
 Google Apps Script / Sheets automation
 </li>
 <li>
 Git and collaborative development workflows
 </li>
 </ul>
 
 Why Join Us?
 
 <ul>
 <li>
 High commercial impact &mdash; your models will shape real expansion decisions
 </li>
 <li>
 Direct exposure to strategic planning and senior leadership
 </li>
 <li>
 Opportunity to build forecasting capability from the ground up
 </li>
 <li>
 Clear pathway to Lead Data Scientist as the team scales
 </li>
 <li>
 Fast-paced, high-growth environment where data drives decisions
 </li>
 </ul>
 
 
</div>

Applied 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

Al Ahly Momkn

<div>
 A subsidiary of Al Ahly Capital, Al Ahly Momkn is a fast-evolving Fin-tech company committed to promoting secure, convenient &amp; seamless payment solutions and financial services for business owners, service providers and consumers across Egypt.
 
 
 At Al Ahly Momkn, we foster a culture of innovation, collaboration, and personal growth.
 
 
 
 We believe in empowering our employees to unleash their full potential and make a real impact in their roles. As part of our team, you'll have the opportunity to work on exciting projects, learn from industry experts, and be part of a supportive and inclusive community.
 
 
 
 1- Data Collection &amp; Preparation:
 
 <ul>
 <li>
 Collect, clean, and pre process data from various sources to support analysis and modeling activities.
 
 </li>
 <li>
 Ensure datasets are structured, reliable, and ready for exploratory and predictive analysis.
 
 </li>
 <li>
 Support data quality checks and assist in improving data consistency.
 
 
 </li>
 </ul>
 2- Exploratory Data Analysis (EDA):
 
 <ul>
 <li>
 Conduct exploratory data analysis to identify trends, patterns, anomalies, and key business insights.
 
 </li>
 <li>
 Assist in interpreting customer behavior and performance metrics across fin-tech products and services.
 
 </li>
 <li>
 Provide analytical summaries to support decision-making.
 
 
 </li>
 </ul>
 3- Predictive Modeling &amp; Machine Learning Support:
 
 <ul>
 <li>
 Assist in developing, testing, and evaluating predictive models and machine learning solutions.
 
 </li>
 <li>
 Support feature engineering and model validation processes.
 
 </li>
 <li>
 Measure model performance using appropriate evaluation metrics.
 
 
 </li>
 </ul>
 4- Visualization &amp; Reporting
 
 <ul>
 <li>
 Create dashboards, visualizations, and reports to communicate insights effectively.
 
 </li>
 <li>
 Present findings in a clear format tailored for both technical and non-technical audiences.
 
 </li>
 <li>
 Contribute to creating recurring performance reporting and ad-hoc analytics outputs
 
 
 </li>
 </ul>
 5- Cross-Functional Collaboration
 
 <ul>
 <li>
 Collaborate with Product, Tech, Operations, and other business stakeholders to translate business questions into analytical solutions.
 
 </li>
 <li>
 Support the development of data-driven recommendations and actionable insights.
 
 </li>
 <li>
 Participate in meetings and discussions to align analysis with business priorities.
 
 
 </li>
 </ul>
 6- Documentation &amp; Continuous Improvement
 
 <ul>
 <li>
 Document workflows, methodologies, and analytical processes to ensure clarity and reproducibility.
 
 </li>
 <li>
 Stay up to date with data science tools, techniques, and industry best practices.
 
 </li>
 <li>
 Suggest improvements to existing analytical approaches when relevant.
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 
 </li>
 <li>
 0-3 Years of Experience in Data Science or similar role.
 
 </li>
 <li>
 Proficiency in Python/R, SQL, and familiarity with visualization tools.
 
 </li>
 <li>
 Understanding of basic machine learning algorithms and statistical methods.
 
 </li>
 <li>
 Strong analytical and problem‑solving skills with an eagerness to learn.
 
 </li>
 <li>
 Good communication skills to explain findings to both technical and non‑technical audiences.
 
 
 
 
 </li>
 </ul>
 Benefits
 
 
 <ul>
 <li>
 Embark on an exciting journey with the Fin-Tech Experts.
 
 </li>
 <li>
 Join a workplace that actively encourages and supports all talents.
 
 </li>
 <li>
 A support system where you have a safe place to voice your opinion, share feedback, and be your true authentic self.
 
 </li>
 <li>
 Join us in our mission to accelerate financial inclusion and make financial freedom accessible to all.
 
 </li>
 </ul>
</div>

Principal Data Scientist / Simulation Engineer

Capgemini

<div>
 
 About Capgemini
 
 
 
 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.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Design and implement Agentic AI solutions and applications.
 </li>
 <li>
 Lead the end-to-end lifecycle of machine learning and data science delivery engagements, from data ingestion and feature engineering to model training, evaluation, and deployment.
 </li>
 <li>
 Monitor model performance and implement retraining strategies to ensure long-term accuracy and relevance.
 </li>
 <li>
 Architect and optimize scalable data pipelines and cloud-based infrastructures (Azure, AWS, GCP) to support ML workloads.
 </li>
 <li>
 Collaborate with data engineers to ensure robust data preprocessing, transformation, and storage strategies.
 </li>
 <li>
 Develop and maintain CI/CD pipelines tailored for ML workflows, including automated testing, model versioning, and deployment.
 </li>
 <li>
 Integrate monitoring and alerting systems to track model drift, data quality, and system performance.
 </li>
 <li>
 Work closely with cross-functional teams including data scientists, product managers, and business stakeholders to translate business needs into technical solutions.
 </li>
 <li>
 Mentor junior engineers and contribute to knowledge sharing and best practices across the team.
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 <ul>
 <li>
 6-10 years of experience working with complex datasets and solving real-world business problems using AI
 </li>
 <li>
 Proven track record of deploying and maintaining ML models in production environments and delivering AI solution architecture.
 </li>
 <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>
 Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.
 </li>
 <li>
 Skilled in MLOps practices including CI/CD, containerization (e.g. Docker), and orchestration (Kubernetes).
 </li>
 <li>
 Strong command of Git and collaborative development workflows.
 </li>
 <li>
 Excellent written and verbal communication skills, capable of conveying complex concepts to a variety of audiences.
 </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>
 <li>
 Strong problem-solving abilities and attention to detail.
 </li>
 <li>
 Strategic thinking with the ability to align data science initiatives with business objectives.
 </li>
 <li>
 Strong leadership and team management skills with the ability to inspire and motivate.
 </li>
 <li>
 Ability to work collaboratively in a team environment.
 </li>
 <li>
 Self-motivated with a strong growth mindset.
 </li>
 </ul>
</div>

Senior Data Scientist - AI & ML Engineer

mylo

<div>
 mylo, the consumer finance arm of B.TECH, is revolutionizing the financial landscape, seeks a dynamic, results-oriented Senior Data Scientist. The ideal candidate will play a pivotal role in driving data-driven decisions and shaping our future. You'll work closely with cross-functional teams to unlock the power of data, build predictive models, and deliver actionable insights.
 
 
 We are actively seeking dedicated
 
 Collections Officers
 
 to become valuable members of our team. In this pivotal role, you will play a crucial part in assisting our customers as they navigate the process of managing their outstanding payments. If you find fulfilment in a dynamic and fast-paced environment and possess exceptional negotiation skills coupled with a strong sense of empathy, we warmly encourage you to apply and join us on this journey!
 
 
 As a Collections Officer, you will be responsible for:
 
 
 <ul>
 <li>
 Communicating effectively with customers to follow up on due and overdue installments
 </li>
 <li>
 Encouraging customers to make payments and resolve outstanding balances
 </li>
 <li>
 Conducting field visits to customer homes or workplaces as needed to facilitate collections
 </li>
 <li>
 Negotiating payment plans and solutions that benefit both the customer and the company
 </li>
 <li>
 Maintaining accurate records of customer interactions and payment statuses
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 A bachelor's degree is required in any field
 </li>
 <li>
 We seek individuals who can adapt and perform effectively in physically demanding field environments
 </li>
 <li>
 Capable of managing physical tasks and mobility for fieldwork
 </li>
 <li>
 Demonstrated ability to negotiate successfully
 </li>
 <li>
 Proven effectiveness in follow-up activities
 </li>
 <li>
 Exceptional skills in communication and persuasion
 </li>
 <li>
 Capacity for self-driven work and independence
 </li>
 <li>
 Competent in utilizing computer systems
 </li>
 <li>
 Preferably possesses some data analysis skills
 </li>
 <li>
 Possesses a strong reputation and is acknowledged for integrity
 </li>
 <li>
 Locations as follows: Zagazig, Al Asher of Ramadan, Shubra El Khima ,Port Said, Behera, Alexandria &amp; Cairo
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Office environment: When you come to our b_labs office, you'll find creative workspaces, a well-equipped kitchen, and an open design to foster collaboration between teams.
 
 
 Education budget: We believe the learning journey never ends, therefore you will be entitled to an annual education budget to take part in trainings, courses or onsite conferences of your choice.
 
 
 Flexibility: You know best whether you want to work from home or in the office. However, if you want to join your teammates onsite, we will subsidize the costs for lunch to foster the b_labs office community
 
 
 Mobility package: When you are joining the b_labs office, we will subsidize your mobility expenses for public transport.
 
 
 Equipment: From "Day 1" you will receive all the equipment you need be successful at work. Therefore, you can choose your laptop and get all the tools you need to stay on top of your game.
</div>

Collection Officer

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Principal Data Scientist / Simulation Engineer

Senior Data Scientist - AI & ML Engineer

Collection Officer