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Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

HireOn

<div>
 
 Senior Data Scientist &ndash; GenAI (Generative AI)
 
 
 
 Experience: 6+ Years
 
 
 Location: Cairo, Egypt (onsite;
 
 in-office job
 
 )
 
 
 Employment Type: Full-Time
 
 
 
 About The Role
 
 
 
 Our client, a global AWS Consulting Partner with distributed teams across the US, Canada, UAE and Asian region, is hiring
 
 high-caliber Senior Generative AI Engineers.
 
 
 
 This role is ideal for someone who has
 
 6+ years
 
 of software engineering and AI/ML experience and is now focused on
 
 tool-using LLMs, LangChain, AutoGPT, or similar frameworks
 
 .
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and architecture of AI-powered enterprise solutions.
 </li>
 <li>
 Drive technical decisions across infrastructure, databases, APIs, microservices, and AI components.
 </li>
 <li>
 Deploy LLMs and GenAI applications in production environments.
 </li>
 <li>
 Work on prompt engineering, Chain-of-Thought, and advanced AI/ML techniques.
 </li>
 <li>
 Integrate AI/ML models with enterprise systems for high performance and scalability.
 </li>
 <li>
 Work with technical teams, ensuring knowledge transfer and best practices.
 </li>
 <li>
 Work on AI/ML projects from conceptualization to delivery, including cloud and hybrid deployments.
 </li>
 <li>
 Work on multi-agent systems, and RAG workflow implementations.
 
 
 </li>
 </ul>
 
 Technical Requirements
 
 
 
 <ul>
 <li>
 GenAI Expertise: Hands-on experience with LLM fine-tuning and production deployment.
 </li>
 <li>
 AI/ML &amp; Enterprise Architecture: Experience in Python, TensorFlow, PyTorch, full-stack development, Kubernetes, SQL/NoSQL databases, APIs, and microservices.
 
 
 </li>
 </ul>
 Skills: langchain,embedding models,autogpt,llm frameworks,rag,gemini,vector databases,crewai,generative ai,semantic kernel,prompt engineering,openai,agentic ai,ai application development,llama2,agents
</div>

Senior Data Scientist - AI/ML (Generative AI)

RSA Security

<div>
 RSA provides trusted identity and access management for 12,000 organizations around the world, managing 25 million enterprise identities and providing secure, convenient access to millions of users. RSA specializes in empowering security-first organizations in financial services, healthcare, energy, technology services, and other industries to thrive in a digital world, delivering complete capabilities for modern authentication, access, lifecycle management, and identity governance. Whether in the cloud or on-premises, RSA connects people with the digital resources they depend on everywhere they live, work, and play.
 
 
 For decades, RSA has pioneered many of the encryption, authentication, and identity federation technologies that still power the internet. And now RSA is transforming the industry yet again, paving the way for the future of digital identity through the RSA Unified Identity Platform; next-generation hybrid and cloud solutions; the first ever and only multi-functional, passwordless hardware authenticator; and a frictionless, mobile-optimized experience for the modern workforce. If you are self-motivated and looking for a fast-paced challenge doing something that truly matters, come join our winning team! For more information, go to rsa.com.
 
 
 The Senior Manager, Data Analytics leads the design, delivery, and governance of enterprise‑wide analytics that drive data‑informed decision‑making. This role partners closely with executive leadership and cross‑functional stakeholders to translate business strategy into scalable reporting, actionable insights, and trusted metrics across Sales, Finance, Customer Support, Professional Services and Customer Success.
 
 
 
 Principal Responsibilities
 
 
 
 <ul>
 <li>
 Lead and scale a high‑performing analytics team delivering dashboards, insights, and executive reporting.
 </li>
 <li>
 Establish and own a reporting and analytics Center of Excellence, ensuring consistency, accuracy, and alignment on key metrics.
 </li>
 <li>
 Partner with senior leaders to define KPIs, performance frameworks, and analytics roadmaps that support GTM strategy and business priorities.
 </li>
 <li>
 Oversee end‑to‑end analytics delivery, including data validation, metric definitions, dashboard design, and insight generation.
 </li>
 <li>
 Audit and improve data quality across core systems to ensure reliable reporting and decision‑making.
 </li>
 <li>
 Translate complex data into clear narratives, insights, and recommendations for executive and board‑level audiences.
 </li>
 <li>
 Identify trends, risks, and opportunities through advanced analysis of performance data.
 
 
 </li>
 </ul>
 
 Essential Requirments
 
 
 
 <ul>
 <li>
 10+ years&rsquo; experience, 5+ years&rsquo; People Management Experience
 </li>
 <li>
 Talent development and team leadership
 </li>
 <li>
 Strong analytical thinking, storytelling, and problem‑solving skills.
 </li>
 <li>
 Ability to influence senior stakeholders and drive alignment across organizations.
 </li>
 <li>
 Proven experience leading analytics or BI teams
 </li>
 <li>
 Deep understanding of GTM, revenue, and customer lifecycle metrics
 
 
 </li>
 </ul>
 RSA is committed to the principle of equal employment opportunity for all employees and applicants for employment and to providing employees with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, and any other category protected by applicable country law.
 
 
 If you need a reasonable accommodation during the application process, please contact the RSA Talent Acquisition Team at
 
 
 rsa.global.talent.acquisition@rsa.com
 
 
 . RSA and its approved consultants will never ask you for a fee to process or consider your application for a career with RSA. RSA reserves the right to amend or withdraw any job posting at any time, including prior to the advertised closing date.
</div>

Senior Manager, Data Analytics

SDG Group Middle East

<div>
 
 SDG Group is expanding its global Data &amp; Analytics practice and is seeking a motivated
 
 Data Analytics Engineer
 
 with 3 to 6 years
 
 of experience
 
 in DataOps. The ideal candidate has strong hands-on experience with either
 
 Databricks or Snowflake
 
 , alongside solid understanding of modern cloud data platforms and best practices in data engineering.
 
 
 This role offers a
 
 full-time employment contract in USD
 
 , allowing remote work on
 
 international projects
 
 aligned with the
 
 European working week (Monday to Friday).
 
 
 
 
 
 
 
 
 
 
 
 
 Key Responsibiliti
 
 
 <ul>
 <li>
 esDesign, build, and maintain scalable and reliable data pipelines following DataOps best practic
 </li>
 <li>
 esWork with modern cloud data stacks usin
 
 g Databric
 
 ks (Spark, Delta Lake) o
 
 r Snowfla
 
 ke (Snow pipe, tasks, stream
 </li>
 <li>
 s)Develop and optimize ETL/ELT workflows using Python, SQL, and orchestration too
 </li>
 <li>
 lsWork with Azure data services (ADF, ADLS, Azure SQL, Azure Function
 </li>
 <li>
 s)Implement CI/CD practices using Azure DevOps or Git-based workflo
 </li>
 <li>
 wsEnsure data quality, consistency, and governance across all delivered data solutio
 </li>
 <li>
 nsMonitor and troubleshoot pipelines for performance and operational excellen
 </li>
 <li>
 ceCollaborate with international teams, architects, and analytics consultan
 </li>
 <li>
 tsContribute to technical documentation and solution design asse
 </li>
 </ul>
 
 
 
 
 
 ts
 
 Required Skills &amp; Qualificati
 
 
 <ul>
 <li>
 onsBachelor&rsquo;s degree in computer science, Engineering, Information Systems, or related fi
 </li>
 <li>
 e
 
 ldHands-on experie
 
 nce in DataOps / Data Engineer
 </li>
 <li>
 ingStrong knowledge
 
 in Databricks OR Snowfl
 
 ake (one of them is mandato
 </li>
 <li>
 ry)Proficiency
 
 in Python and
 
 </li>
 <li>
 SQLExperience wi
 
 th Az
 
 ure data ecosystem (ADF, ADLS, Synapse, et
 </li>
 <li>
 c.)Understanding of CI/CD practices and DevOps for da
 </li>
 <li>
 ta.Knowledge of data modeling, orchestration frameworks, and monitoring to
 </li>
 <li>
 olsStrong analytical and troubleshooting ski
 </li>
 <li>
 llsEagerness to learn and grow in a global consulting environm
 </li>
 </ul>
 
 
 entNice to H
 
 
 <ul>
 <li>
 aveExperience with Delta Live Tables, Unity Catalog, or Lakehouse conce
 </li>
 <li>
 ptsKnowledge of BI tools (Power BI, Qli
 </li>
 <li>
 ck)Exposure to Agile / Scrum framewo
 </li>
 <li>
 rksRelevant certifications (Azure Data Engineer, Databricks, Snowfla
 </li>
 </ul>
 
 
 
 
 
 ke)
 
 What We O
 
 
 <ul>
 <li>
 fferRemote working model aligned with international project n
 </li>
 <li>
 eedsFull-time employment contract wit
 
 h a USD-based compensation pac
 
 </li>
 <li>
 kageOpportunity to work on European and global engagem
 </li>
 <li>
 entsMentorship and growth paths within SDG G
 </li>
 <li>
 roupA dynamic, innovative, and collaborative environ
 </li>
 <li>
 mentAccess to world-class training and learning platf
 </li>
 </ul>
 
 
 
 orms
</div>

Senior Data Analytics Engineer

Visa

<div>
 
 Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
 
 
 
 
 At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters &mdash; to you, to your community, and to the world.
 
 
 
 
 Progress starts with you.
 
 
 
 
 
 
 Job Description
 
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Lead the technical design and hands-on delivery of advanced analytics and machine learning projects across multiple engagements.
 </li>
 <li>
 Own end-to-end analytics execution: problem framing, data exploration, feature engineering, model development, validation, and performance assessment.
 </li>
 <li>
 Act as technical authority on assigned projects, providing oversight, code and model reviews, and quality assurance.
 </li>
 <li>
 Translate complex business problems into clear analytical approaches and scalable solutions.
 </li>
 <li>
 Draft and own detailed analytics scopes, methodologies, and delivery plans for medium-to-large projects.
 </li>
 <li>
 Lead the development and delivery of Generative AI use cases, including prototyping, validation, and production-ready design.
 </li>
 <li>
 Evaluate and apply appropriate GenAI and ML techniques aligned with business value, data constraints, and governance requirements.
 </li>
 <li>
 Ensure analytical outputs meet quality, documentation, timeline, and budget expectations.
 </li>
 <li>
 Continuously improve analytics practices by introducing new methodologies, tools, and best practices.
 </li>
 </ul>
 
 This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
 
 
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 8+ years of experience in data science, advanced analytics, or applied machine learning.
 </li>
 <li>
 Strong hands-on experience delivering end-to-end ML or advanced analytics solutions.
 </li>
 <li>
 Demonstrated experience leading or building Generative AI / LLM-based use cases.
 </li>
 <li>
 Undergraduate degree in a quantitative field (Statistics, Computer Science, Engineering, Operations Research or equivalent).
 </li>
 <li>
 Postgraduate degree is a strong advantage.
 </li>
 <li>
 Strong proficiency in Python for data analysis and machine learning.
 </li>
 <li>
 Solid experience with SQL for complex data manipulation and analysis.
 </li>
 <li>
 Experience working with Spark or large-scale data processing frameworks.
 </li>
 <li>
 Strong understanding of model evaluation, validation, and analytical QA.
 </li>
 <li>
 Ability to explain complex analytical concepts clearly to non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
 
 
 
</div>

Data Science Senior Manager, NALP

Capital Limited

<div>
 
 We are a Main Market LSE listed company which provides a complete range of drilling and mining services. We are an organisation committed to embracing and developing a diverse workforce so that they develop to realise their full potential and provide you with the ability to make an impact with the next generation of mineral exploration drilling company.
 
 
 
 
 
 With our footprint continuing to expand we are looking for a dedicated and professional Technical Lead &ndash; Business Systems &amp; ERP.
 
 
 
 
 
 
 Business Analyst
 
 
 
 
 Location
 
 : Cairo, Egypt
 
 
 
 
 
 The Technical Lead is responsible for the technical architecture, performance, and integrity of the organisation&rsquo;s business systems, with a core focus on Microsoft Dynamics 365 (D365) ERP. The role works in close daily partnership with the Business Systems Manager, BI Lead, and ICT teams, forming a unified delivery function that ensures systems are robust, scalable, secure, and responsive to the operational demands of mining services
 
 
 This position collaborates extensively with Microsoft engineers, external partners, and internal ICT specialists to deliver integrated, high-quality solutions that strengthen asset reliability, operational visibility, and decision making across the organisation.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Define and maintain the technical architecture for Microsoft Dynamics 365 and related systems, ensuring alignment with business, data, and IT strategies
 </li>
 <li>
 Work with ICT, BI, and infrastructure teams to design secure, scalable, and reliable system environments and integrations
 </li>
 <li>
 Lead the technical operation, performance, and support of D365 environments, including releases, issue resolution, and system stability across multiple sites
 </li>
 <li>
 Oversee integrations between ERP, operational systems, data platforms, and corporate tools to ensure reliable data flow and reporting capabilities
 </li>
 <li>
 Collaborate with business and technical teams to translate operational needs into effective technical solutions
 </li>
 <li>
 Provide technical leadership by mentoring developers and technical specialists while strengthening internal capabilities
 </li>
 <li>
 Manage relationships with Microsoft and external partners to deliver system enhancements and ensure architectural consistency
 </li>
 <li>
 Ensure systems meet governance, cybersecurity, compliance, and data management requirements
 </li>
 <li>
 Support technical planning and budgeting to ensure investments in ERP, integrations, and digital platforms deliver operational value
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Extensive experience delivering technical solutions using Microsoft Dynamics 365 within mining services, heavy industry, engineering, or other asset-intensive environments
 </li>
 <li>
 Strong background in ERP architecture, integrations, data engineering, and cloud technologies, preferably Microsoft Azure
 </li>
 <li>
 Proven experience collaborating with BI teams, ICT infrastructure teams, and external technology partners
 </li>
 <li>
 Deep understanding of D365 technical architecture, integration frameworks, and data structures
 </li>
 <li>
 Strong analytical and problem-solving abilities in operationally critical environments
 </li>
 <li>
 Excellent communication and stakeholder engagement skills, able to work effectively with business leaders, ICT teams, and technology partners
 </li>
 <li>
 Degree in Information Systems, Computer Science, Engineering, or a related field
 </li>
 <li>
 Microsoft D365 technical certifications strongly preferred
 </li>
 <li>
 Experience with Microsoft Power Platform and Azure DevOps is desirable
 </li>
 <li>
 ITIL, cloud, or DevOps certifications are an advantage
 </li>
 <li>
 Ability to work in a dynamic, multicultural environment
 </li>
 <li>
 Flexible approach, with the willingness to work outside normal hours if required
 </li>
 </ul>
 
 
 
 
 Like to know more? Check out www.capdrill.com
 
 
 If you think you have what it takes, please send your resume to human.resources@capdrill.com
 
 
 
 
 
 
 Capital Limited is an equal opportunity employer, and we encourage everyone to apply.
 
 
 
 
 
 
 The Company reserves the right:
 
 
 1. To contact only the best qualified candidates to participate in the selection exercise.
 
 
 2. Not to make any appointment following this advertisement.
 
</div>

Technical Lead

RATP Dev Mobility Cairo

<div>
 
 Job Purpose
 
 
 
 The Senior Client Data Analyst serves as the strategic bridge between Finance, Treasury, and Operations, ensuring the integrity of the revenue cycle through advanced data architecture and predictive analytics. Reporting to the Treasury Manager, this role is essential for mitigating financial risk, optimizing working capital, and driving the digital transformation of client-facing financial processes.
 
 
 
 Responsibilities/Duties
 
 
 
 
 Profil de candidat recherch&eacute; :
 
 
 
 
 Advanced Financial Analytics &amp; Risk Mitigation
 
 
 
 <ul>
 <li>
 Lead the analysis of client communications, case histories, and dispute patterns to proactively identify systemic risks and root causes of payment delays.
 </li>
 <li>
 Monitor and analyze complex aging receivables and cash-in data to ensure ledger accuracy and facilitate early detection of credit risks.
 </li>
 <li>
 Evaluate client payment behaviors and historical trends to provide actionable insights that optimize collection strategies and minimize bad debt exposure.
 </li>
 <li>
 Audit the e-invoice lifecycle including issuance, acceptance, and rejection phases to streamline the billing workflow and prevent downstream collection bottlenecks.
 
 
 </li>
 </ul>
 
 Strategic Reporting &amp; Digital Transformation
 
 
 
 <ul>
 <li>
 Architect and automate analytical dashboards (e.g., Power BI, Tableau) that provide real-time visibility into receivables and collection KPIs.
 </li>
 <li>
 Design integrated monitoring systems for back-to-back invoicing to track the full financial lifecycle from supplier cash-out to client cash-in.
 </li>
 <li>
 Engineer data-driven forecasting models that provide the Treasury department with high-precision inputs for global cash flow planning.
 </li>
 <li>
 Innovate reporting frameworks by migrating manual data sets into scalable, automated cloud-based environments to enhance organizational agility.
 
 
 </li>
 </ul>
 
 Cross-Functional Leadership &amp; Operational Excellence
 
 
 
 <ul>
 <li>
 Reconcile high-volume client data across Finance, Treasury, and Operations, spearheading process improvements where data silos or discrepancies are identified.
 </li>
 <li>
 Spearhead data-driven presentations for senior management, banking partners, and key stakeholders to support high-stakes financial negotiations and audits.
 </li>
 <li>
 Direct on-site communications and client-facing meetings by providing empirical evidence to resolve complex disputes and strengthen commercial relationships.
 </li>
 <li>
 Advise the Treasury Manager on day-to-day liquidity shifts and operational tasks, serving as a technical subject matter expert for the broader finance team.
 
 
 </li>
 </ul>
 
 Safety Responsibilities
 
 
 
 <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. All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 ESSENTIAL QUALIFICATIONS, KNOWLEDGE &amp; EXPERIENCE
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Finance, Data Science, or Business Administration.
 </li>
 <li>
 Professional certification in data visualization (e.g., Microsoft Certified: Power BI Data Analyst Associate) or finance (e.g. CMA) is an advantage.
 
 
 </li>
 </ul>
 
 Knowledge
 
 
 
 <ul>
 <li>
 Advanced command of Power BI (DAX/Power Query), SQL, and ERP systems (SAP, Oracle, or Microsoft Dynamics 365), is an advantage.
 </li>
 <li>
 Deep understanding of Accounts Receivable (AR) lifecycles, GAAP/IFRS standards, and e-invoicing regulatory frameworks.
 </li>
 <li>
 Deep knowledge of data privacy laws.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 5&ndash;7 years of progressive experience in financial data analysis, revenue operations, or treasury analytics.
 
 
 </li>
 </ul>
 
 Desired Behaviors &amp; Experiences
 
 
 
 <ul>
 <li>
 Proven track record of transforming "raw data" into clean, executive-ready narratives that drive decision-making.
 </li>
 <li>
 Ability to challenge the status quo and influence cross-functional stakeholders without direct authority.
 </li>
 <li>
 A forward-thinking approach to AI and Machine Learning applications in predictive financial modeling.
 </li>
 <li>
 High emotional intelligence when managing complex client disputes or high-pressure month-end closing cycles.
 </li>
 <li>
 High level of professionalism, ethical conduct, and integrity.
 </li>
 </ul>
</div>

Sr Client Data Analyst

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