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Coca-Cola HBC

<div>
 
 
 Department
 
 : Data, Insights &amp; AI
 
 
 
 Location
 
 : Egypt (Cairo).
 
 
 
 
 We are expanding our team and seeking a highly skilled Data Engineer with strong expertise in Microsoft Azure, solid knowledge of machine learning, experience with modern software delivery practices, and a curious mindset toward artificial intelligence applications to join our Analytics Engineering team within the Digital &amp; Technology Platform Services (DTPS) organization at Coca‑Cola Hellenic. In this role, you will contribute to shaping the strategy, design, and development of advanced analytics solutions that deliver meaningful insights and support data‑driven decision‑making across the business. You will be part of the Data Insights and Artificial Intelligence (DIAI) team, integrating and transforming data into scalable, analytics‑ready solutions and cutting‑edge machine learning applications.
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Design, develop, implement, and optimize scalable, high performance, secure, and cost-efficient data pipelines using Microsoft Azure cloud services and large scale data technologies, including Apache Spark and PySpark built with object-oriented programming principles.
 </li>
 <li>
 Load and process data from Azure Data Lake, orchestrate Azure Databricks jobs, and manage Azure Data Factory pipelines with a high degree of proficiency.
 </li>
 <li>
 Develop and implement robust data quality frameworks to ensure data integrity across all stages of the data lifecycle.
 </li>
 <li>
 Perform data profiling, analysis, and validation to identify, troubleshoot, and resolve data quality issues in a timely and effective manner.
 </li>
 <li>
 Implement security, governance, and access control measures to safeguard sensitive data within Microsoft Azure environments.
 </li>
 <li>
 Build and maintain machine learning workflows and data pipelines that support model development, deployment, and ongoing monitoring.
 </li>
 <li>
 Utilize Git based version control to manage code repositories, apply structured branching strategies, and enable collaborative development practices.
 </li>
 <li>
 Apply Agile methodologies to plan, prioritize, and deliver data engineering work in iterative development cycles.
 </li>
 <li>
 Develop and maintain comprehensive documentation for data solutions, including data models, data flows, architectural diagrams, and detailed technical specifications.
 </li>
 <li>
 Stay up to date with Microsoft Azure data services, large scale data tools, DevOps practices, and broader industry best practices, providing recommendations for adoption and continuous improvement.
 </li>
 <li>
 Collaborate with Azure developers and data engineers from Coca Cola Hellenic vendors, offering guidance on data engineering techniques, standards, and methodologies.
 </li>
 <li>
 Work closely with DevOps teams to implement and maintain continuous integration and continuous delivery pipelines for Azure based applications and data workflows.
 </li>
 <li>
 Support Microsoft Power Business Intelligence developers by evaluating and optimizing data connection methods and data transfer strategies, ensuring high performance, scalability, data quality, and security.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, engineering, or a related discipline (or equivalent practical experience),
 </li>
 <li>
 Two or more years of professional experience; Microsoft Azure Data Engineer certification is considered an advantage.
 </li>
 <li>
 Strong understanding of secure software development and modern software delivery practices, including continuous integration, continuous delivery, automated testing, automated deployments, and extensive experience using Git for version control
 </li>
 <li>
 Deep expertise with Microsoft Azure data services, including Azure Data Factory, Azure Data Lake Storage, and Azure Databricks, with solid experience applying performance optimization techniques for analytics and reporting workloads.
 </li>
 <li>
 Strong hands-on experience with Apache Spark and PySpark using object-oriented programming, along with strong skills in Python and SQL to design and optimize scalable data pipelines across largescale data architectures that handle big data.
 </li>
 <li>
 Knowledge of Systems, Applications, and Products Business Warehouse extractors, transformations, and data export processes, along with experience working within Agile and Scaled Agile Framework environments.
 </li>
 <li>
 Proven ability to ensure data quality, reliability, and operational efficiency, supporting advanced analytics and machine learning workflows.
 </li>
 <li>
 A foundational understanding of machine learning concepts, feature engineering, and machine learning operations for model deployment and monitoring.
 </li>
 </ul>
 
 
 
 
 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 impact.
 
 
 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 &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 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>

Data Engineer

Lucidya | لوسيديا

<div>
 
 About Lucidya
 
 
 
 Lucidya is a fast-growing SaaS company building AI-powered customer experience solutions for enterprises across the MENA region. Known for our deep expertise in Arabic-first AI, we help organizations understand, serve, and engage their customers at scale.
 
 
 We are now launching a new AI Agents business unit, focused on building AI Agent platforms and solutions to solve critical pain-points in Customer Experience - securely, responsibly, and at scale.
 
 
 
 Role Overview
 
 
 
 As an AI Engineer, you will be responsible for designing, building, and deploying intelligent AI agents that solve real business problems. You will work at the intersection of machine learning, deep learning, and production AI, turning advanced models into reliable, scalable systems used by enterprise customers.
 
 
 This role goes beyond experimentation - you will help take AI from concept to production, ensuring performance, ethical compliance, and real-world impact.
 
 
 You will have the opportunity to showcase your ability to build from 0 to a real solution that drives value
 
 
 What You'll Do
 
 
 
 AI &amp; Agent Development
 
 
 
 <ul>
 <li>
 Design, develop, and optimize AI Agents
 </li>
 <li>
 Build evaluation for AI Agent performance, ensuring that AI Agents are working as expected
 </li>
 <li>
 Research and optimise the way we do things
 </li>
 <li>
 Contribute to the development of the Lucidya AI Agent platform
 
 
 </li>
 </ul>
 
 Production &amp; Scalability
 
 
 
 <ul>
 <li>
 Deploy AI models into production environments with a focus on scalability, performance, and reliability
 </li>
 <li>
 Collaborate on MLOps practices to support continuous integration, monitoring, and improvement
 </li>
 <li>
 Ensure AI systems integrate smoothly with existing platforms and workflows
 
 
 </li>
 </ul>
 
 Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Work closely with software engineers, product managers, and domain experts
 </li>
 <li>
 Translate business problems into effective AI solutions with measurable outcomes
 </li>
 <li>
 Contribute to solution design for enterprise solutions and long-term deployments
 
 
 </li>
 </ul>
 
 Governance &amp; Quality
 
 
 
 <ul>
 <li>
 Ensure AI solutions comply with ethical standards, data privacy requirements, and legal regulations
 </li>
 <li>
 Document models, algorithms, workflows, and decisions clearly for internal and external stakeholders
 </li>
 <li>
 Stay up to date with the latest AI research, tools, and best practices; and apply them where valuable
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What we're looking for
 
 
 
 
 Technical Skills
 
 
 
 <ul>
 <li>
 3+ years of hands-on experience building and deploying AI-driven systems, with a proven track-record of achieving business value from AI agents - not just using self-serve frameworks like n8n
 </li>
 <li>
 Strong programming skills in Python (Java is a plus)
 </li>
 <li>
 Hands-on experience with machine learning and deep learning techniques
 </li>
 <li>
 Practical experience using TensorFlow, OpenAISDK or similar frameworks
 </li>
 <li>
 Experience deploying AI models into production or production-like environments
 </li>
 <li>
 Strong understanding of AI evals and guardrails
 
 
 </li>
 </ul>
 
 Problem-Solving &amp; Mindset
 
 
 
 <ul>
 <li>
 Ability to analyze complex problems and design innovative AI-driven solutions
 </li>
 <li>
 Strong systems thinking, understanding how models behave in real-world environments
 </li>
 <li>
 Curiosity and commitment to continuous learning in a fast-evolving AI landscape
 </li>
 <li>
 Proactivity is key - not just a task doer
 
 
 </li>
 </ul>
 
 Collaboration &amp; Communication
 
 
 
 <ul>
 <li>
 Comfortable working in cross-functional, product-driven teams
 </li>
 <li>
 Able to clearly document and explain technical concepts to diverse stakeholders
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with NLP, conversational AI, or agent-based systems
 </li>
 <li>
 Exposure to enterprise AI deployments or SaaS platforms
 </li>
 <li>
 Familiarity with MLOps, monitoring, and model lifecycle management
 </li>
 <li>
 Experience working with multilingual or Arabic language data
 
 
 </li>
 </ul>
 
 Why Join Lucidya's AI Agents Team?
 
 
 
 <ul>
 <li>
 Work on real, enterprise-grade AI agents, not just experiments
 </li>
 <li>
 Shape a new business unit from the ground up
 </li>
 <li>
 Solve meaningful CX and operational challenges across the MENA region
 </li>
 <li>
 Collaborate with a highly skilled AI, data, and product team
 </li>
 <li>
 Build AI that is responsible, scalable, and impactful
 </li>
 </ul>
</div>

AI Engineer (mid-level/senior)

<div>
 
 
 
 Company Overview
 
 :
 
 
 
 
 
 
 Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at www.dar.com.
 
 
 
 
 
 
 Our Vision and Values:
 
 
 
 
 
 
 We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:
 
 
 
 
 <ul>
 <li>
 Excellence
 </li>
 <li>
 Responsibility
 </li>
 <li>
 Empowerment
 </li>
 <li>
 Connectivity
 </li>
 <li>
 Courage
 </li>
 </ul>
 
 
 
 
 J
 
 
 Job Purpose:
 
 
 
 
 
 
 
 The role of a Data Scientist at Dar will be to extract actionable insights from databases and large, complex datasets to improve design decisions, optimize processes, and enhance project performance. They leverage statistical analysis, machine learning, and predictive modeling and analysis to support data-driven strategies across the project lifecycle.
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 Collect, clean, and analyze structured and unstructured data from design, construction, and operational sources.
 </li>
 <li>
 Extract features from multi-formats data sources
 </li>
 <li>
 Develop predictive models for project scheduling, cost estimation, risk assessment, and resource optimization.
 </li>
 <li>
 Visualize data and communicate insights through dashboards, reports, and presentations.
 </li>
 <li>
 Collaborate with engineers, architects, and project managers to translate business needs into data-driven solutions.
 </li>
 <li>
 Evaluate and implement advanced analytics techniques such as machine learning, NLP, and time-series forecasting.
 </li>
 <li>
 Ensure data quality, governance, and compliance within AEC data systems.
 </li>
 <li>
 Research and apply emerging data science tools and methods to AEC industry.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Values Alignment
 
 
 
 (Expected behaviors that reflect Dar&rsquo;s values, tailored to the level and responsibilities of the role.)
 
 </li>
 <li>
 Demonstrates analytical thinking, independence in execution, professionalism, transparency, communication, and accountability in delivering quality outcomes while fostering collaboration across teams.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in Data Science, Statistics, Computer Science, or a related field.
 </li>
 <li>
 Strong proficiency in Python and SQL and experience with data analysis libraries (Pandas, NumPy, Scikit-learn), and data visualization tools (Power BI),
 </li>
 <li>
 Experience using LLMs for multi-format documents processing
 </li>
 <li>
 Experience working with RDBMS (e.g. PostgreSQL, Microsoft SQL Server) and cloud platforms (AWS, Azure, or GCP).
 </li>
 <li>
 Experience working with machine learning algorithms, statistical modeling
 </li>
 <li>
 Experience in data pipeline development is a plus.
 </li>
 <li>
 Excellent analytical thinking, problem-solving, and communication skills.
 </li>
 <li>
 Familiarity with AEC data formats and tools (e.g., BIM) is a plus.
 </li>
 </ul>
 
 
 
 
 
 
 Kind Note
 
 :
 
 
 
 
 
 
 
 * While we carefully review all applications, only candidates meeting the specified requirements will be contacted for further consideration. We appreciate your understanding and thank all applicants for their interest.
 
 
</div>

Data Scientist

Finaira

<div>
 The Data Scientist 2 will independently design, develop, and deploy AI and machine learning models to address complex business challenges within the financial sector. This role requires a strong understanding of data science methodologies, proficiency in relevant tools and technologies, and the ability to translate business needs into effective analytical solutions.
 
 
 The Data Scientist 2 will collaborate with cross-functional teams and communicate findings with increasing independence.
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Project contributions, model development &amp; refinement, and mentorship
 </li>
 <li>
 Lead specific modules or components within larger data science projects
 </li>
 <li>
 Develop and optimize existing machine learning models for improved performance
 </li>
 <li>
 Conduct in-depth data analysis and interpretation to identify actionable insights for banking applications
 </li>
 <li>
 Mentor junior data scientists on technical best practices
 </li>
 <li>
 Collaborate with cross-functional teams to integrate models into business processes
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Education:
 
 
 
 Bachelor's degree in Data Science, Economics, Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research, or a related discipline with excellent academic record.
 
 
 
 Experience:
 
 0-3 years of experience, including internships or academic projects. Experience in the financial services industry is a plus.
 
 
 
 Technical Skills:
 
 o Basic proficiency in one or more programming languages (e.g., Java, Python, JavaScript).
 
 
 Basic knowledge of software development frameworks (e.g., Spring, Django, React).
 
 
 Basic experience with databases (SQL).
 
 
 Understanding basic software design principles.
 
 
 Familiarity with version control systems (e.g., Git).
 
 
 Basic familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.
 
 
 <li>
 
 
 </li>
 
 Soft Skills:
 
 
 
 Developing problem-solving and analytical skills.
 
 
 Ability to work independently and as part of a team.
 
 
 Developing communication and collaboration skills.
 
 
 Attention to detail and a willingness to learn.
 
 
 Customer-centric approach to understanding needs.
 
 
 Team player.
 
 
 Developing a disciplined work ethic.
 
 
 Good command of English language, both verbal and written.
 
 
 Self-learner with a positive attitude
</div>

Data Scientist II

QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 As a Data Scientist Intern, you will be part of interdisciplinary teams during an end-of-year internship of 12 weeks, developing analytics solutions that help solve clients&rsquo; most pressing business challenges.
 
 
 Working closely with experienced Data Scientists, Data Engineers, and Machine Learning Engineers, you will support project teams by conducting exploratory data analyses, building and validating simple models, implementing LLM use cases, helping clients to adopt GenAI, and developing RAG systems and visualizations that help uncover insights from complex datasets.
 
 
 You&rsquo;ll gain hands-on experience applying analytical thinking to real-world business contexts, learning how data-driven insights can transform organizations. Through mentorship and structured feedback, you will deepen your understanding of how to translate business problems into technical tasks, and how analytical solutions create measurable client impact.
 
 
 You&rsquo;ll also contribute to the team&rsquo;s internal knowledge base and tool development, learning how McKinsey and QuantumBlack approach data science at scale.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Recent graduates or final-year students from data science, mathematics, statistics, physics or engineering disciplines with expertise in computer science, data, machine learning, or artificial intelligence
 </li>
 <li>
 Availability for a full-time internship of 12 weeks
 </li>
 <li>
 Strong interest in applying machine learning and statistical analysis to solve real-world problems
 </li>
 <li>
 Foundational experience in Python (preferred) or R for data analysis and model prototyping
 </li>
 <li>
 Experience through coursework or projects in building Retrieval-Augmented Generation (RAG) systems or implementing Large Language Model (LLM) use cases is a strong plus
 </li>
 <li>
 Basic understanding of data wrangling, visualization, and exploratory analysis
 </li>
 <li>
 Familiarity with libraries such as pandas, NumPy, scikit-learn, or equivalent
 </li>
 <li>
 Good analytical and problem-solving skills; ability to structure tasks and manage time effectively
 </li>
 </ul>
</div>

Data Scientist Intern - QuantumBlack, AI by McKinsey

<div>
 
 
 Department
 
 : Data, Insights &amp; AI Products &amp; Platforms
 
 
 
 Location
 
 : Egypt (Cairo).
 
 
 
 
 
 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.
 
 
 He/She will collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to bring AI-powered solutions to life.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 
 &bull; Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI.
 
 
 &bull; Integration of advanced AI features into Power BI reports.
 
 
 &bull; Use of AI visuals like decomposition trees, key influencers, and Q&amp;A.
 
 
 &bull; Collaboration with business users to deliver intelligent, AI-powered dashboards.
 
 
 &bull; Embedding machine learning models into Power BI using Azure ML.
 
 
 &bull; Enabling predictive analytics and NLP (Natural Language Processing) within reports.
 
 
 &bull; Participate in code and design reviews to maintain a high-quality codebase.
 
 
 &bull; Collaborate across teams to help with AI adoption and best practices.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 
 
 &bull; 3+ years of experience in AI, machine learning, or applied analytics, ideally with a focus on business intelligence tools.
 
 
 &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.
 
 
 &bull; Strong understanding of Power BI architecture, DAX, Power Query, and data modeling best practices.
 
 
 &bull; Familiarity with Azure AI Services (e.g., OpenAI, AI Search, AI Language, AI Document Intelligence) and their integration into Power BI.
 
 
 &bull; Experience with Python and basic ML frameworks (e.g., scikit-learn) and model optimization in Power BI.
 
 
 &bull; Understanding of natural language processing (NLP) and its application in business reporting is a plus.
 
 
 &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.
 
 
 &bull; Comfortable working in Agile environments using tools like Azure DevOps.
 
 
 &bull; Azure certifications (e.g., Azure Data Scientist Associate, Power BI Data Analyst Associate) are a plus.
 
 
 &bull; Strong analytical thinking, communication, and stakeholder collaboration skills.
 
 
 
 
 
 
 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 impact.
 
 
 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 &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 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>

AI Developer

mylo

<div>
 
 mylo
 
 is a fintech platform dedicated to helping millions of people and businesses thrive by providing accessible and responsible financial solutions. Whether you're purchasing a mobile phone, a new jacket, a flight ticket, a comfy couch, or even covering school tuition, mylo enables you to buy now and pay later at thousands of points of sale across Egypt. Born out of B.TECH&mdash;Egypt's leading electronics and appliances retailer with over 27 years of experience in offering buy now, pay later solutions&mdash;mylo brings a legacy of trust and innovation to the fintech space. All mylo products are fully Sharia-compliant, ensuring ethical and inclusive financial practices.
 
 
 The Role We are looking for a Staff Data Scientist to lead the technical strategy for our decisioning engines. You will operate at the intersection of Data Science and Software Engineering, designing high-scale systems that power multiple business lines&mdash;from Growth &amp; Pricing to Underwriting &amp; Collections. You will move beyond simple model building to architecting robust, reproducible MLOps pipelines that serve real-time financial decisions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Multi-Domain Technical Strategy: Lead the development of ML solutions across diverse contexts, ensuring that models for Credit Risk, Pricing Elasticity, and Collection Optimization utilize shared infrastructure efficiently
 </li>
 <li>
 MLOps Architecture: Champion the adoption of modern Model Serving frameworks and Feature Stores. Design workflows that ensure feature consistency between training and real-time inference
 </li>
 <li>
 Engineering Standards: Establish rigorous standards for Data Versioning, experiment tracking, and Hyperparameter Optimization, ensuring all research is reproducible and production-ready
 </li>
 <li>
 Production Deployment: Oversee the transition of models from notebook environments to low-latency production APIs. Ensure models are wrapped, containerized, and integrated seamlessly with backend services
 </li>
 <li>
 Mentorship: Guide the team in best practices for Python software engineering, including testing strategies, code structure, and performance optimization
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Experience: 7+ years in Data Science with a strong emphasis on production engineering. Experience in Fintech, Lending, or Risk is highly preferred
 </li>
 <li>
 ML Proficiency: Deep understanding of both classical machine learning (Gradient Boosting, Statistical Models) and Deep Learning frameworks
 </li>
 <li>
 Production Engineering: Proven track record of deploying models in real-time environments. Familiarity with the concepts of Feature Stores and Model Registries is essential
 </li>
 <li>
 Technical Stack: Expert-level Python skills. Strong proficiency in SQL and relational database design
 </li>
 <li>
 Strategic Thinking: Ability to translate complex business KPIs (e.g., reducing Non-Performing Loans) into technical ML roadmaps
 </li>
 </ul>
</div>

Staff Data Scientist

Explore 75+ Machine learning engineer in Cairo this February. Find roles across top companies and apply now to boost your career.