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Data Scientist - Credit/debit card analytics Industry: Banking & Financial Services Contract: 12 Months We are looking for a Data Scientist / Data Analyst with strong experience in banking analytics, credit/debit card analytics, customer segmentation, and predictive modeling to support data-driven business and customer strategy initiatives. Key Responsibilities Analyze customer, transaction, and portfolio data to identify business opportunities and trends. Develop customer segmentation models based on behavioral, transactional, and demographic data. Build and apply predictive models for customer behavior, retention, acquisition, cross-sell, upsell, and propensity. Analyze credit card portfolio performance, customer spend, revenue, and profitability. Support campaign analytics and measure campaign performance and ROI. Identify opportunities to improve customer engagement, revenue, and portfolio performance. Perform statistical analysis and translate analytical findings into actionable business recommendations. Work closely with business, product, marketing, and risk stakeholders. Develop analytical reports and dashboards to communicate insights effectively. Must-Have Skills Banking / Financial Services experience Credit Card / Debit Card analytics Customer Segmentation Predictive Modeling / Machine Learning Customer / Portfolio Analytics Revenue & Profitability Analytics Strong SQL Strong Python Experience with transaction/customer data Strong analytical and stakeholder communication skills Good to Have Customer Lifetime Value (CLV) Churn / Attrition Modeling Propensity Modeling Cross-sell / Upsell Next Best Offer / Next Best Action Campaign Analytics Spend Analytics Credit Risk Analytics Statistical Modeling Power BI / Tableau PySpark Show more

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: Excellence Responsibility Empowerment Connectivity Courage Job Purpose: We are looking for a talented Graphic Designer with 2–7 years of experience to join our Landscape Department at DAR and contribute to exciting design projects. Responsibilities: Creating photocollages to represent visions and ideas. Designing report and presentation templates. Producing creative graphics for proposals and projects. Illustrating project analysis. Transforming informative text into creative infographics and diagrams. Designing InDesign A0, A1 board templates. Working on preliminary conceptual branding designs (logos, stationery, posters, slogans, flyers, brochures, tourism maps). Generating rendered masterplans. Preparing maps for site analysis. Producing informative videos and motion graphics. Requirements: Educational Background: Bachelor's degree in graphic design, Visual Arts, or a related field. Certifications in specific design software or methodologies (e.g., Adobe Certified Expert). Technical Skills: Proficiency in design software such as Adobe Creative Suite (Photoshop, Illustrator, InDesign, After effects). Familiarity with other tools like Sketch up, AutoCAD. Knowledge of AI tools: Design Skills: Strong understanding of typography, color theory, and layout principles. Ability to create visual concepts that communicate ideas effectively. Experience in branding and logo design. Competence in designing for both print and digital media. Creative Skills: Strong creative thinking and problem-solving abilities. Ability to develop unique and innovative design concepts. strong ability to craft compelling narratives through visual elements. provide detailed storyboards that outline the creative vision. Excellent attention to detail and a keen eye for aesthetics. Communication Skills: Effective verbal and written communication abilities. Ability to present and explain design concepts to clients and team members. Strong collaboration skills for working with other designers and team members. Time Management: Ability to work on multiple projects simultaneously and meet deadlines. Strong organizational skills and ability to prioritize tasks effectively. Soft Skills: Adaptability and willingness to learn new techniques and tools. Strong work ethic and ability to work independently. Open to constructive feedback and continuous improvement. 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. Show more

Mission Our mission is to revolutionize existing and new Valeo products, tools and processes by harnessing the power of cutting-edge generative AI. We aim to drive unprecedented efficiency across Valeo product portfolio, reducing development costs and achieving a new level of intelligent automation. Through relentless research, we design and build a robust and adaptable AI framework that seamlessly integrates into our current workflow. We are committed to fostering a collaborative environment where researchers, engineers, and product teams work in unison to explore innovative solutions. We believe that by strategically integrating AI, we can optimize internal processes, streamline workflows, and drive long-term success within Valeo's existing and new product landscape. Through relentless research, we design and build a robust and adaptable AI framework that seamlessly integrates into our current workflow. We are committed to fostering a collaborative environment where researchers, engineers, and product teams work in unison to explore innovative solutions. We believe that by strategically integrating AI, we can optimize internal processes, streamline workflows, and drive long-term success within Valeo's existing and new product landscape. Responsibilities Design, build, and maintain end-to-end features across our AI framework — from backend services and agentic pipelines to the user-facing interfaces that expose them. Develop backend APIs and services that integrate LLMs, agentic workflows, and tool/data integrations. Build and maintain frontend interfaces for internal AI tools and dashboards, working directly with the same APIs you build on the backend. Implement and optimize RAG pipelines and LLM orchestration. Deploy and operate services on cloud infrastructure using containerization, with attention to observability, performance, and reliability in production. Conduct testing at multiple levels (unit, API, load) for the components you build, on both backend and frontend. Document components and contribute to team-wide engineering standards and best practices. Education/Training B.Sc. in Communication, Mechatronics, Electronics or Computer Engineering. B.Sc. in Computer science Professional Experience 2-5 years of professional software engineering experience. Hands-on experience with both backend and frontend development (e.g., Python/FastAPI on the backend, React/TypeScript on the frontend) — you should be comfortable owning a feature from an API endpoint through to the UI that consumes it, not backend or frontend alone. Practical, hands-on experience with generative AI / LLM-based systems specifically — e.g., building with LLM APIs, RAG, prompt engineering, or agentic frameworks; general/classical ML or data science experience alone does not substitute for this. Experience with containerization (e.g., Docker). Preferred Qualifications Experience with a cloud platform (AWS, Azure, GCP, or similar); hands-on experience with Google Cloud Platform (GCP) specifically is a big plus. Experience with an agentic/LLM-orchestration framework such as Google ADK, LangChain, LangGraph, or CrewAI. Familiarity with tool-integration standards such as MCP (Model Context Protocol). Show more

Bevatel is seeking a motivated DevOps Engineer with a solid foundation in Google Cloud Platform (GCP) to join our growing technical team. In this role, you will help build, maintain, and automate our cloud infrastructure while working closely with our developers. Role and Responsibilities: Assist in the management and maintenance of our Google Cloud infrastructure. Support the deployment and configuration of applications using Kubernetes. Learn to use Terraform to manage infrastructure as code. Help maintain and troubleshoot our CI/CD pipelines. Write and update scripts in Python or Bash to automate routine tasks. Monitor system performance and help ensure the stability of our applications. Collaborate with the development team to understand and support their infrastructure needs. Contribute to documentation and best practices for our DevOps workflows. Requirements Currently enrolled in or a recent graduate of a program in Computer Science, Information Technology, or a related field. Basic understanding of cloud concepts (GCP, AWS and/or Azure) Good understanding of any componentization framework (ex: Docker) Good understanding of component orchestration frameworks (ex: Kuberneates) Familiarity with at least one scripting language (Python or Bash). A solid grasp of basic networking principles and Linux command-line tools. Strong problem-solving skills and a proactive attitude. Eagerness to learn and a strong interest in DevOps tools and methodologies. Ability to work effectively both independently and as part of a team. Show more

QStaffers is currently hiring a Sales Advisor for one of our partners, an industry leader in Insurance and Financial Services Sector! Job Summary: The Sales Advisor is responsible for directly selling international medical insurance plans to individuals as well as small and medium enterprises. Responsibilities: Sales Target Management: Conduct meetings and execute sales strategies to achieve targets across both individual (B2C) and Small-to-Medium Enterprise (B2B) client segments. Lead Generation & Prospecting: Generate new business leads through cold calling, prospecting, and leveraging personal networks to acquire new clients. End-to-End Sales Process: Manage the entire sales cycle, from initial contact and qualification to final closure, following the company's structured process. Client Relationship Management: Schedule and attend client meetings to build and maintain positive relationships, ensuring a high level of client satisfaction and professional service. Compliance & Administration: Accurately prepare and submit client applications, ensuring full compliance with all Know Your Customer (KYC) and FRA regulatory requirements. Reporting & Performance Tracking: Maintain detailed records of sales activities through daily reports, call logs, and other required documentation. Product Knowledge & Initiative: Demonstrate comprehensive product knowledge and a self-motivated approach to proactively drive business results. Standard Area: You will report to your manager daily, and as requested, so please use these opportunities to share experience and learn from feedback. You are expected to participate in any event organized to promote our insurance services. You should always observe company rules, uphold company principles and values, and conform to its behavioral code – such as dress code and working hours – at all times. Innovation Area: Following the work rules and procedures is a must. However, you are always encouraged to plan new ideas and to test them, such as ways of finding new sources of leads/prospects. Ideas that may challenge our corporate objectives and processes, such as changing the reporting system, are still encouraged having first obtained consensus from management. Mixing work with fun is healthy, so you are encouraged to do things that make your job more appealing and attractive for you, such as setting internal challenges with your peers. For example, you might have a 'phone calls day', in which you see who can achieve the highest number of phone calls in the day. Qualifications: Bachelor's degree in Business Administration, Marketing, Commerce, or a related field is preferred. 0–3 years of experience in sales, customer service, telesales, insurance sales, or a related commercial role. Good command of verbal and written English and Arabic. Strong interpersonal and relationship-building skills with a customer-focused mindset. Ability to confidently engage with both individual customers and business clients. Strong negotiation, persuasion, and closing skills. Understanding of insurance products, financial services, or healthcare-related services is a plus. Show more

We're hiring a Senior AI Engineer to design, build, and ship ML and LLM-powered products and the infrastructure behind them. You'll work across the full stack — from data pipelines and model fine-tuning through backend services and MLOps — and play a lead role in shaping how AI systems are built and operated across the organization. This is a hands-on senior role with technical ownership and direct influence on AI products reaching enterprise and government customers. What You'll Do Design and implement production-grade ML and LLM applications: RAG pipelines, fine-tuning workflows, evaluation frameworks, and inference services. Fine-tune open-source LLMs (e.g., Llama, Mistral, Qwen) using techniques such as LoRA/QLoRA, SFT, and DPO for domain-specific use cases. Build and operate the backend services that power our AI products — APIs, orchestration layers, async job processing, and integrations. Own MLOps practices: CI/CD for models, experiment tracking, model registry, monitoring, drift detection, and cost/performance optimization. Design and maintain data engineering pipelines that ingest, clean, transform, and serve structured and unstructured data to AI systems (text, PDF, audio, video). Build evaluation and observability tooling for LLM outputs (offline benchmarks, online metrics, human-in-the-loop feedback loops). Collaborate with product, data, and infrastructure teams to translate business problems into deployable AI solutions. Mentor junior engineers, set technical standards, review code and architecture, and contribute to hiring. Required Qualifications 5+ years of professional software engineering experience focused on AI/ML or LLM systems in production. Strong NLP and LLM fine-tuning experience: hands-on work with Hugging Face Transformers, PEFT/LoRA, dataset curation, evaluation, and deployment of fine-tuned models. MLOps background: model versioning, experiment tracking (MLflow, Weights & Biases, or similar), containerization (Docker), orchestration (Kubernetes), and CI/CD for ML workloads. Full-stack engineering with backend focus: strong Python (FastAPI, Django) and proficiency building scalable APIs, async workers, and event-driven services. Data engineering fundamentals: SQL and NoSQL databases, vector databases (pgvector, Qdrant, Weaviate, or Milvus), ETL/ELT pipeline design, and stream/batch processing. Experience with cloud platforms (AWS, Azure, or GCP) and on-premises GPU environments. Excellent communication skills in English; ability to work directly with technical and non-technical stakeholders. Nice to Have Experience building AI agents and multi-agent systems. Voice AI experience: ASR (Whisper, conformer-based models), TTS, voice agent pipelines. Computer vision experience: detection, OCR, document understanding, or multimodal models. Classical ML expertise: XGBoost, scikit-learn, feature engineering, and tabular modeling. Deep learning frameworks: PyTorch (preferred), TensorFlow. Data versioning and pipeline tooling: DVC, LakeFS, Airflow, Prefect, Dagster, or Kubeflow Pipelines. LLM observability and tracing tools (LangFuse, Langsmith, Arize, Helicone). Arabic NLP experience or familiarity with localization challenges in the region. Contributions to open-source AI/ML projects or relevant publications. Show more