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lead ai data science

<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>
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a seasoned and visionary Lead, AI &amp; Data Science to drive the strategy, development, and deployment of advanced AI solutions across our Digital Solutions department. This role is leadership and technically grounded, you will define and guide our AI roadmap, mentor a team of experts, and ensure delivery of world-class solutions. While you will not be coding daily, you must possess deep technical knowledge across the AI/ML spectrum and the ability to review, advise, and step in when critical decisions or mentorship are needed.
 
 
 You will play a pivotal role in building and scaling the AI &amp; Data Science team, shaping career paths, and representing the department in global events, partnerships, and thought leadership platforms.
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 Strategic &amp; Technical Leadership
 
 
 <ul>
 <li>
 Define and lead the
 
 AI &amp; Data Science vision and roadmap
 
 , aligned with business priorities.
 </li>
 <li>
 Provide
 
 technical oversight
 
 for AI initiatives across domains:
 </li>
 <li>
 
 Generative AI &amp; LLMs
 
 (fine-tuning, RAG pipelines, multi-agent systems).
 </li>
 <li>
 
 Predictive Analytics &amp; Time-Series Modeling
 
 .
 </li>
 <li>
 
 Computer Vision &amp; Multimodal AI
 
 .
 </li>
 <li>
 
 Reinforcement Learning &amp; Optimization
 
 .
 </li>
 <li>
 
 Knowledge Engineering &amp; Semantic Search
 
 .
 </li>
 <li>
 
 Edge AI &amp; Real-Time AI Deployments
 
 .
 </li>
 <li>
 Act as the
 
 architect and reviewer
 
 of AI systems, ensuring scalability, robustness, and compliance.
 </li>
 <li>
 Guide the adoption of
 
 MLOps best practices
 
 (CI/CD for ML, monitoring, retraining, governance).
 </li>
 <li>
 Drive innovation while balancing
 
 pragmatism and production readiness
 
 .
 </li>
 </ul>
 
 
 
 
 
 Mentorship &amp; Team Development
 
 
 <ul>
 <li>
 Build and grow a
 
 world-class AI &amp; Data Science team
 
 , including
 
 hiring, onboarding, and performance management
 
 .
 </li>
 <li>
 Mentor and coach team members to elevate technical depth and problem-solving skills.
 </li>
 <li>
 Create
 
 career development plans, learning paths, and certification opportunities
 
 for the team.
 </li>
 <li>
 Foster a culture of
 
 collaboration, experimentation, and continuous improvement
 
 .
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Representation
 
 
 <ul>
 <li>
 Work closely with
 
 Product Managers, Solution Architects, and Engineering Leads
 
 to embed AI across the product suite.
 </li>
 <li>
 Translate business challenges into
 
 scalable, impactful AI solutions
 
 .
 </li>
 <li>
 Represent the department in
 
 industry conferences, technical forums, and client engagements
 
 .
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 10+ years of experience in AI/ML, including at least 3 years in a
 
 technical leadership or team lead role
 
 .
 </li>
 <li>
 Strong knowledge (architectural &amp; practical) of:
 </li>
 <li>
 
 LLMs, RAG, and AI Agents
 
 .
 </li>
 <li>
 
 Predictive analytics &amp; time-series forecasting
 
 .
 </li>
 <li>
 
 Computer vision, multimodal learning, and geospatial AI
 
 .
 </li>
 <li>
 
 Reinforcement learning and optimization techniques
 
 .
 </li>
 <li>
 
 MLOps practices &amp; data pipelines
 
 .
 </li>
 <li>
 Ability to
 
 review code, design architectures, and guide technical teams
 
 .
 </li>
 <li>
 Advanced degree (Master&rsquo;s or PhD is a plus) in Computer Science, AI, Data Science, or related technical field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with
 
 digital twins, IoT/OT data, and smart systems
 
 .
 </li>
 <li>
 Familiarity with
 
 vector databases.
 
 </li>
 <li>
 Knowledge of
 
 AI ethics, explainability, and regulatory compliance
 
 .
 </li>
 <li>
 Experience representing organizations at
 
 global conferences and industry summits
 
 .
 </li>
 </ul>
 
 
 
 
 
 Career Development &amp; Opportunities
 
 
 <ul>
 <li>
 Build and scale your own
 
 AI &amp; Data Science team
 
 .
 </li>
 <li>
 Define
 
 career plans and growth frameworks
 
 for your team members.
 </li>
 <li>
 Access to
 
 continuous training, certifications, and skill development programs
 
 .
 </li>
 <li>
 Opportunities to
 
 attend and present at global AI/tech events
 
 .
 </li>
 <li>
 Collaborate with
 
 top-tier technology partners and thought leaders
 
 .
 </li>
 </ul>
 
 
</div>

Lead AI & Data Science

Boubyan Digital Factory

<div>
 
 
 job summary / purpose:
 
 
 
 To conduct advanced research and development in artificial intelligence, exploring new techniques and models to support the bank&rsquo;s digital innovation goals. This role involves developing impactful AI solutions that enhance operational efficiency, elevate customer experience, and enable data-driven strategic decisions.
 
 
 
 
 
 
 ROLE AND RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Lead the design, development, and deployment of advanced AI models to solve complex business challenges.
 </li>
 <li>
 Research and evaluate emerging AI technologies to determine their applicability to the bank&rsquo;s strategic goals.
 </li>
 <li>
 Collaborate with data scientists and engineers to design scalable AI solutions that integrate with the bank&rsquo;s existing infrastructure.
 </li>
 <li>
 Analyze large datasets to identify patterns, extract insights and build predictive machine learning models.
 </li>
 <li>
 Ensure that AI solutions comply with industry standards for security, privacy, and compliance.
 </li>
 <li>
 Present findings and recommendations to stakeholders, highlighting potential business impacts and opportunities for AI-driven solutions.
 </li>
 <li>
 Mentor and support junior AI scientists, fostering a culture of innovation and best practices in AI research and implementation.
 </li>
 <li>
 Document research findings and AI model designs, contributing to the bank&rsquo;s knowledge base in AI.
 </li>
 </ul>
 
 
 
 
 
 Qualifications, Education AND EXPERIENCE
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Artificial Intelligence, Computer Science, or a related field.
 </li>
 <li>
 At least 5 years of experience in AI and machine learning development.
 </li>
 <li>
 Proven Experience in:
 </li>
 <li>
 Designing, developing, and productionizing AI/ML pipelines and AI Agents
 </li>
 <li>
 LLM Evaluations, fine-tuning and prompt engineering.
 </li>
 <li>
 Implementing machine learning solutions especially in NLP, forecasting, and OCR.
 </li>
 <li>
 Utilizing cloud-based AI platforms such as AWS, Google Cloud, or Azure.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 Strong programming proficiency in Python and SQL.
 </li>
 <li>
 Expertise in machine learning and generative AI frameworks including PyTorch, Hugging Face Transformers, and OpenAI Agents SDK.
 </li>
 <li>
 Solid understanding of AI/ML development lifecycle: data analysis, modelling, evaluation, and deployment.
 </li>
 </ul>
 
 
 Preferred competencies
 
 
 <ul>
 <li>
 Exceptional analytical and problem-solving skills.
 </li>
 <li>
 Strong leadership and mentorship abilities.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Ability to work effectively in cross-functional teams and guide junior scientists.
 </li>
 </ul>
 
 
</div>

Senior AI Scientist

Fekra Technologies

<div>
 
 📍 Location: Onsite &ndash; Egypt
 
 
 💼 Job Type: Full-time
 
 
 🕐 Work Hours: Egypt business hours
 
 
 🗓️ Start Date: Immediate
 
 
 🗣️ Language: Fluent in English
 
 
 
 
 
 
 About the Role
 
 
 
 We&rsquo;re seeking an experienced
 
 Chief Technology Officer (CTO)
 
 to lead the strategic direction and execution of our company&rsquo;s technology vision. The ideal candidate will bring deep expertise in
 
 Artificial Intelligence, Machine Learning, Cloud Infrastructure, and Software Engineering
 
 , with a proven track record of scaling high-performing technical teams and delivering enterprise-grade products.
 
 
 You&rsquo;ll be responsible for defining our long-term technology roadmap, ensuring scalability, security, and innovation across all projects while collaborating closely with executive leadership to align technology with business objectives.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Define and execute the company&rsquo;s overall technology strategy and product roadmap.
 </li>
 <li>
 Lead the design and implementation of advanced
 
 AI/ML systems
 
 , data-driven solutions, and scalable architectures.
 </li>
 <li>
 Oversee all aspects of
 
 software development
 
 , including planning, code quality, testing, and deployment.
 </li>
 <li>
 Build and mentor a world-class engineering team focused on innovation, efficiency, and reliability.
 </li>
 <li>
 Supervise
 
 cloud infrastructure (AWS, Azure, or GCP)
 
 , ensuring high availability, cost efficiency, and robust security.
 </li>
 <li>
 Drive best practices in
 
 data management, pipelines, and model deployment
 
 .
 </li>
 <li>
 Ensure compliance with
 
 data privacy, cybersecurity
 
 , and ethical AI principles.
 </li>
 <li>
 Collaborate with business and product leaders to translate strategic goals into actionable technology initiatives.
 </li>
 <li>
 Oversee
 
 DevOps pipelines
 
 , CI/CD automation, and system monitoring for continuous improvement.
 </li>
 <li>
 Evaluate emerging technologies, frameworks, and methodologies to maintain a competitive edge.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 10+ years of experience in
 
 software engineering
 
 , with at least 3 years in a
 
 CTO or senior technical leadership
 
 role.
 </li>
 <li>
 Strong background in
 
 AI/ML engineering
 
 , including deep learning, NLP, or computer vision.
 </li>
 <li>
 Proficiency in
 
 Python, Go, or other modern programming languages
 
 .
 </li>
 <li>
 Hands-on experience with
 
 data engineering
 
 , data pipelines, and large-scale model training.
 </li>
 <li>
 Proven success in managing
 
 cloud environments
 
 (AWS, Azure, GCP) and containerized deployments (Docker, Kubernetes).
 </li>
 <li>
 Deep understanding of
 
 software architecture design, scalability, and performance optimization
 
 .
 </li>
 <li>
 Awareness of
 
 cybersecurity principles
 
 , secure coding practices, and risk mitigation.
 </li>
 <li>
 Experience in implementing
 
 ethical AI
 
 , data governance, and compliance frameworks (GDPR, SOC 2, ISO 27001).
 </li>
 <li>
 Exceptional leadership, communication, and decision-making skills.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Why Join Fekra?
 
 
 
 🏆 ISO-Certified &amp; ISTQB Platinum Partner &ndash; Be part of a globally recognized company.
 
 
 🌍 100% Remote &ndash; Work from anywhere!
 
 
 💰 Competitive Salary
 
 
 🚀 Exciting Projects &ndash; Work on cutting-edge fintech and cloud-based applications.
 
 
 📈 Career Growth &ndash; Enjoy continuous learning and professional development.
 
 
 💡 Flexible Work Options &ndash; Part-time and full-time remote opportunities.
 
 
 🤝 Collaborative Culture &ndash; Join a dynamic, supportive, and innovative team.
 
</div>

Chief Technology Officer

Monks

<div>
 Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).
 
 
 
 About The Role
 
 
 
 As a Data Scientist at Monks, you will work on designing, developing, and deploying Machine Learning (ML) and Generative AI (GenAI) models aimed at optimising marketing effectiveness. You will collaborate closely with senior data scientists to build scalable solutions, leveraging public cloud platforms such as GCP, AWS, or Azure.
 
 
 You should have a strong foundation in data literacy and the ability to interpret technical concepts into practical business insights. Ideally, you have some experience in marketing or product data science, coupled with a strong foundation of machine learning, statistics, and cloud technologies. While the role mainly focuses on data science, it also offers opportunities to tap into data engineering projects.
 
 
 This role spans across the EMEA and MENA regions and involves close collaboration with our Analytics, Strategy, and Solutions Engineering teams. We offer a dynamic and challenging work environment at the forefront of AI-driven innovation in marketing. If you're passionate about pushing the boundaries of what&rsquo;s possible, we encourage you to apply!
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Assist in designing, developing, and deploying Machine Learning (ML) and Generative AI (GenAI) models on cloud platforms such as AWS and GCP.
 </li>
 <li>
 Support the development and implementation of predictive models, such as propensity and churn models, to drive predictive insights and enhance decision-making.
 </li>
 <li>
 Contribute to the design of GenAI architectures using APIs like ChatGPT and Gemini, integrated with LangChain libraries.
 </li>
 <li>
 Write SQL queries to extract insights from large datasets
 </li>
 <li>
 Conduct statistical analysis, including A/B testing.
 </li>
 <li>
 Support in API authentication and automating ETL processes for data integration and transformation in cloud environments.
 </li>
 <li>
 Contribute in implementing and managing data models using tools like dbt and Dataform to convert raw data into structured formats for data warehousing and machine learning applications.
 </li>
 <li>
 Learn to navigate the lifecycle of a data science project, understanding trade-offs between model accuracy, deployment cost, and data availability.
 </li>
 <li>
 Follow and contribute to the documentation and best practices for building and deploying machine learning models to ensure consistency and scalability.
 </li>
 <li>
 Communicate basic technical concepts and results to both technical and non-technical stakeholders, including clients.
 
 
 
 </li>
 </ul>
 
 About You
 
 
 
 The essentials:
 
 
 
 <ul>
 <li>
 Bachelor or Masters in a quantitative subject such as Data Science, Computer Science, Mathematics, Statistics, or a related field.
 </li>
 <li>
 1+ years of working experience in data science or data engineering or a related field.
 </li>
 <li>
 Familiarity in designing and deploying cloud solutions on platforms such as GCP or AWS.
 </li>
 <li>
 Associate Cloud Certification such as GCP Cloud Architect, Data Engineer, or any equivalent.
 </li>
 <li>
 Strong proficiency in Python and SQL.
 </li>
 <li>
 Solid understanding of statistics, machine learning algorithms and Gen-AI applications, with a strong interest in learning more.
 </li>
 <li>
 Good understanding of APIs, including authentication methods (e.g., API keys, OAuth), with a curiosity to explore and troubleshoot.
 </li>
 <li>
 Awareness of data modelling tools such as dbt or Dataform.
 </li>
 <li>
 Good understanding of data warehousing and ETL concepts, with exposure to tools like Amazon Redshift or Google BigQuery being beneficial.
 </li>
 <li>
 Fluent English communication and written skills.
 </li>
 <li>
 Strong analytical and problem-solving skills with the ability to work independently and in a team environment.
 
 
 
 </li>
 </ul>
 
 Not a Must, But a Plus
 
 
 
 
 <ul>
 <li>
 Bachelor or Masters Degree in Data Science.
 </li>
 <li>
 Previous agency or consultancy experience is a plus.
 </li>
 <li>
 Professional Cloud Certification.
 </li>
 <li>
 Familiarity with marketing analytics tools and data (e.g. Google Analytics, Adobe Analytics).
 </li>
 <li>
 Awareness of MLOps, CI/CD and version control tools.
 </li>
 <li>
 Familiarity with social data (e.g. Instagram, Facebook, Tiktok).
 </li>
 <li>
 Knowledge of digital advertising industry practices and client verticals (retail, finance, etc.) is a plus.
 </li>
 <li>
 Experience with Looker Studio or any visualisation tool.
 
 
 
 </li>
 </ul>
 At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.
 
 
 
 About Monks
 
 
 
 Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI&mdash;managed by the industry&rsquo;s best and most diverse digital talent&mdash;to help the world&rsquo;s trailblazing companies outmaneuver and outpace their competition.
 
 
 Monks was named a Contender in The Forrester Wave&trade;: Global Marketing Services. It has remained a constant presence on Adweek&rsquo;s Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger&rsquo;s Programmatic Power Players list every year (2020-24). In addition to being named Adweek&rsquo;s first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek&rsquo;s Top 100 Global Most Loved Workplaces 2023.
 
 
 We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents&mdash;and resonates with&mdash;the world around us.
 
 
</div>

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

PwC Middle East

<div>
 
 Line of Service
 
 
 
 Advisory
 
 
 
 Industry/Sector
 
 
 
 Technology
 
 
 
 Specialism
 
 
 
 Advisory - Other
 
 
 
 Management Level
 
 
 
 Manager
 
 
 
 Job Description &amp; Summary
 
 
 
 The PwC ETIC is looking for an experienced Applied AI Solution Architect to join our team. The successful candidate will be an integral part of our team and will be responsible for providing technical consulting services to our clients. As a consultant, you will be able to envision, build, deploy and operationalize an end-to-end machine learning (ML) and AI pipeline.
 
 
 The successful candidate must have a solid technical background in the workflow and pipeline architectures of ML and deep learning. Other responsibilities will include providing guidance to clients on business requirements and developing solutions based on best practices and industry trends.
 
 
 The ideal candidate must have superior communication and problem-solving skills, as well as deep expertise in advanced analytics tools (such as SAS, R and Python) along with applied mathematics, ML and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks). They must also have a passion for delivering solutions that exceed the needs of our clients.
 
 
 We are looking for someone who is a team player, proactive, and able to effectively manage multiple tasks. The successful candidate should also have excellent presentation skills and be able to quickly adapt to changing customer requirements.
 
 
 If you believe you have the skills and experience to become a successful part of our team, we would be delighted to hear from you.
 
 
 Creating technical architectures and choosing ideal tools &amp; technologies - Developing and implementing AI models and algorithms - Planning for the integration of newly created solutions into the existing ecosystem - Translating the suggestions of stakeholders and BAs into technical language by elaborating the vision of the project - Work closely with security and risk leaders to foresee and overturn risks - Collaborate with data scientists and AI professionals to augment digital transformation efforts - Keep up to date with new technologies and solutions that can add value
 
 
 
 Requirements
 
 : - Degree in Computer Science or related field - Minimum 8+ years of experience in Applied AI Solution Architecture - Proficiency in machine learning frameworks such as TensorFlow, Keras, and PyTorch - Experience with programming languages such as Python, Java, and C++ - Familiarity with cloud computing platforms such as AWS, Azure, and Google Cloud - Experience with big data technologies such as Hadoop and Spark - Knowledge of data warehousing and ETL tools - Excellent problem solving and communication skills - Ability to work independently as well as in a team - Ability to handle customer queries and provide timely solutions
 
 
 
 Preferable
 
 : To have a minimum of a master&rsquo;s degree in computer science, data science or an AI-related discipline. You will need a proven track record of implementing machine-learning solutions, development in multiple languages and statistical analysis. You will also need to be familiar with a whole host of other approaches used in practical applications of machine learning.
 
 
 
 What we offer:
 
 Flexible working arrangements (Flex-work, Home Office) Refer-a-Friend &ndash; get a bonus in the employee referral program Wide range of leading-edge trainings (including language courses) Family Medical Insurance Yearly Bonus At PwC, The skills we look for in future employees. All our people need to demonstrate the skills and behaviors that support us in delivering our business strategy. This is important to the work we do for our business, and our clients. These skills and behaviors make up our global leadership framework, &lsquo;The PwC Professional&rsquo;. The PwC Professional focuses on five core attributes; whole leadership, business acumen, technical and digital, global and inclusive, and relationships. We use this framework to recruit, develop and assess our people, at all grades and all areas of our business, because we expect all of our people to be leaders.
 
 
 
 Whole leadership
 
 : The ability to lead yourself and others to make a difference and create a positive impact in a responsible, authentic, resilient, inclusive and passionate manner.
 
 
 
 Global acumen:
 
 The ability to operate and collaborate effectively with a mindset that transcends boundaries and embraces diverse perspectives.
 
 
 
 Technical and Digital :
 
 Focus on fast growing technologies and how to make use of them towards digital transformation.
 
 
 
 Business acumen:
 
 The ability to bring business knowledge, innovation and insight to create distinctive value for clients and PwC.
 
 Relationships:
 
 The ability to build relationships of high value which are genuine and meaningful.
 
 
 
 Education
 
 
 (if blank, degree and/or field of study not specified)
 
 
 
 Degrees/Field of Study required:Degrees/Field of Study preferred:
 
 
 
 Certifications
 
 
 (if blank, certifications not specified)
 
 
 
 
 Required Skills
 
 
 
 
 Optional Skills
 
 
 
 
 Desired Languages
 
 
 (If blank, desired languages not specified)
 
 
 
 
 Travel Requirements
 
 
 
 0%
 
 
 
 Available for Work Visa Sponsorship?
 
 
 
 No
 
 
 
 Government Clearance Required?
 
 
 
 No
 
 
 
 Job Posting End Date
 
</div>

ETIC, AI Solution Architect- Manager

<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
 
 Senior Product Owner
 
 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>
 Manage the end-to-end delivery cycle of AI products from idea validation through launch and adoption, such as owning &amp; maintaining product backlog, writing user stories, working with Data Science &amp; Engineering teams, monitoring progress &amp; validating results&nbsp;
 </li>
 <li>
 Collaborate with business leaders to gather requirements, clarify needs, and translate them into actionable product features,&nbsp;
 </li>
 <li>
 The candidate will be the main point of contact between business stakeholders and technical teams, ensuring transparency and alignment. He will be responsible for communicating priorities &amp; delivery timelines, training stakeholders &amp; End users on new products, driving adoption, and collecting feedback to ensure continuous improvement
 </li>
 <li>
 Define clear KPIs for measuring product performance and adoption&nbsp;
 </li>
 <li>
 Facilitate agile ceremonies (backlog grooming, sprint planning, daily stand-ups, sprint reviews)
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, Computer Science, or any related field
 </li>
 <li>
 5-7 years of experience in product management or product owner, with 1+ years focused on AI or data products
 </li>
 <li>
 Strong track record of delivering products from concept to launch with measurable business outcomes
 </li>
 <li>
 Hands-on experience with agile methodologies (Scrum/Kanban).
 
 Strong ability to write clear requirements, user stories, and acceptance criteria
 </li>
 <li>
 Experience working closely with data science and engineering teams and strong familiarity with AI/ML concepts and workflows; technical background is a plus
 </li>
 </ul>
</div>

Senior Product Lead / AI

Explore 575+ Lead ai data science in Cairo 12 Months Contract Jobs In Cairo Jobs In Alexandria Egypt this November. Find roles across top companies and apply now to boost your career.