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ai expert for plant data model pdm project

Al Adyat consultancy

Job Profile: AI Expert for Plant Data Model (PDM Project)Job SummaryWe are seeking a highly skilled AI Expert to design, build, and operationalize AI/ML solutions that deliver measurable business outcomes. The ideal candidate combines deep machine learning expertise with strong software engineering practices, MLOps proficiency, and stakeholder collaboration. This role will lead end-to-end projects&mdash;from problem framing and data acquisition to model development, deployment, monitoring, and continuous improvement&mdash;while ensuring compliance with security, privacy, and governance policies.Key Responsibilities&middot; Partner with business stakeholders to translate strategic objectives into AI use cases with clear KPIs and ROI.&middot; Own the full ML lifecycle: data sourcing, feature engineering, model selection, training, evaluation, and production deployment.&middot; Implement robust MLOps: CI/CD for ML, model registry, automated testing, reproducible pipelines, and monitoring (drift, performance, fairness).&middot; Design scalable data/feature pipelines using best practices for data quality, lineage, and governance.&middot; Develop models across domains (e.g., predictive analytics, time series, NLP, computer vision, recommender systems).&middot; Optimize models for efficiency and cost across CPU/GPU, leveraging quantization, distillation, or serving optimizations.&middot; Deploy and maintain models on cloud and on-prem platforms; orchestrate with containers and microservices (Docker/Kubernetes).&middot; Establish and enforce responsible AI practices: privacy-preserving methods, bias detection/mitigation, explainability, and secure handling of data.&middot; Produce high-quality documentation: design docs, runbooks, experiment logs, and user guides; present results to technical and non-technical audiences.&middot; Mentor engineers and analysts; contribute to standards, templates, and reusable components within the AI platform.Minimum Qualifications&middot; Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, or related field (or equivalent experience).&middot; 5+ years building and deploying ML models in production environments.&middot; Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).&middot; Hands-on experience with data processing frameworks (e.g., Pandas, Spark), SQL/NoSQL databases, and feature stores.&middot; Proficiency in MLOps tooling (e.g., MLflow, DVC, Kubeflow, Airflow) and CI/CD for ML.&middot; Experience deploying to cloud platforms (e.g., Azure Machine Learning, AWS SageMaker, GCP Vertex AI) and container orchestration (Docker/Kubernetes).&middot; Solid understanding of statistics, experiment design (A/B testing), and model validation techniques.&middot; Excellent communication and stakeholder management skills; ability to articulate complex concepts clearly.Preferred Qualifications&middot; Master&rsquo;s or PhD in a quantitative field.&middot; Experience with NLP (transformers, LLMs, RAG) and computer vision (CNNs, detection/segmentation).&middot; Exposure to time-series forecasting, optimization, and reinforcement learning for industrial use cases.&middot; Experience with Azure ecosystem (Azure ML, Databricks, Data Factory, Synapse) and enterprise integration patterns.&middot; Familiarity with privacy-preserving techniques (differential privacy, federated learning) and model interpretability (SHAP, LIME).&middot; Track record of delivering AI solutions in manufacturing, energy, or operations (e.g., predictive maintenance, process optimization).Technical Stack &amp; Tools&middot; Languages: Python (preferred), SQL; familiarity with C++/Java is a plus.&middot; ML/AI: scikit-learn, TensorFlow, PyTorch, XGBoost, Hugging Face; experiment tracking (MLflow).&middot; Data: Pandas, Spark, Delta/Parquet; data versioning (DVC); feature stores.&middot; Pipelines &amp; Orchestration: Airflow, Prefect, Kubeflow; Docker/Kubernetes for serving.&middot; Monitoring &amp; Observability: Prometheus/Grafana; model drift/performance monitoring tools.&middot; DevOps: Git, GitHub/GitLab, CI/CD, testing frameworks (pytest).&middot; Cloud: Azure (preferred), AWS, GCP; serverless and managed ML services.Core Competencies &amp; Soft Skills&middot; Business acumen with the ability to prioritize use cases based on value and feasibility.&middot; Structured problem solving and hypothesis-driven experimentation.&middot; Clear written and verbal communication, storytelling with data, and visualization skills.&middot; Collaboration and mentorship across cross-functional teams (engineering, operations, compliance).&middot; Ownership mindset with a focus on reliability, safety, and continuous improvement.AI Governance, Security &amp; Compliance&middot; Adhere to corporate data governance policies, security standards, and regulatory requirements (e.g., GDPR where applicable).&middot; Implement role-based access controls, encryption, secure secrets management, and audit trails across the ML stack.&middot; Ensure models meet fairness, transparency, and explainability guidelines; conduct regular risk assessments and reviews.Success Criteria &amp; KPIs&middot; Cycle time from ideation to production (weeks).&middot; Model performance against business KPIs (e.g., accuracy, precision/recall, uplift, cost savings).&middot; Operational reliability (SLA adherence, downtime, incident rate).&middot; Adoption and user satisfaction for AI-enabled products and workflows.Compliance metrics (governance checks passed, audits completed).Job Type: Full-timePay: From QAR15,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI Expert for Plant Data Model (PDM Project) : 3 years (Required)</li></ul>Language:<ul><li>Arabic (Required)</li><li>English (Required)</li></ul>License/Certification:<ul><li>degree in computer science, Data Science (Required)</li></ul>Location:<ul><li>Doha (Required)</li></ul>

AI Expert for Plant Data Model (PDM Project)

Job Profile: Cloud Infrastructure ArchitectJob Overview:The Cloud Infrastructure Architect is responsible for designing and overseeing the deployment of scalable, secure, and high-performance infrastructure to support the implementation of Plant Data Model (PDM) system. This role focuses on hybrid architecture with a strong emphasis on Microsoft technologies, including Azure, Microsoft 365, Intune, and Power Platform.The architect will evaluate infrastructure proposals submitted by implementation partners, ensure alignment with enterprise architecture and cybersecurity standards, and supervise the setup and integration of cloud and on-premises components. The role requires deep technical expertise in cloud infrastructure, virtualization, disaster recovery, and enterprise-grade networking, with proven experience in oil and gas environments.Key Responsibilities:<ul><li>Evaluate the PDM project infrastructure-related components of bidder proposals, ensuring alignment with enterprise architecture, cybersecurity standards, and operational requirements.</li><li>Lead the implementation of hybrid cloud infrastructure to support the PDM solution, with a focus on Microsoft technologies including Azure, Microsoft 365, Intune, and Power Platform in collaboration with implementation partners.</li><li>Lead the deployment and configuration of virtual machines, storage systems, networking components, and backup solutions across on-premises and cloud environments.</li><li>Ensure seamless integration of infrastructure with Active Directory, DNS, SCCM, Intune, and other enterprise services.</li><li>Oversee disaster recovery planning and high availability setup for PDM, ensuring compliance with existing DR architecture and recovery objectives.</li><li>Monitor infrastructure performance across distributed sites (e.g., Ras Laffan, Taweelah, Abu Dhabi), optimizing for latency, bandwidth, and system responsiveness.</li><li>Collaborate with system integration experts to ensure infrastructure readiness for middleware, APIs, and real-time data systems.</li><li>Enforce security protocols including encryption, role-based access controls, and secure remote access via ZTNA and MFA.</li><li>Support infrastructure scalability planning, capacity assessments, and hardware provisioning in coordination with approved vendors.</li><li>Maintain detailed documentation of infrastructure architecture, deployment plans, and operational procedures.</li><li>Provide technical oversight during implementation, testing, and go-live phases, ensuring infrastructure stability and compliance.</li></ul>Required Qualifications:Educational Background:<ul><li>A degree in computer science, Computer Engineering, information technology, or a related field</li></ul>Certifications (Preferred)<ul><li>Microsoft Certified: Azure Solutions Architect Expert</li><li>Certified Kubernetes Administrator (CKA)</li><li>TOGAF or similar enterprise architecture framework</li></ul>Expected Experience<ul><li>Minimum: 7&ndash;10 years of experience in IT infrastructure and cloud architecture</li><li>Preferred: Experience leading or supporting cloud/hybrid deployments for industrial platforms (e.g., AVEVA, Hexagon, Siemens, Bentley)</li></ul>Technical Skills<ul><li>Deep expertise in Microsoft Azure services including Virtual Machines, Azure Active Directory, Azure Storage, Azure Networking, and Azure Monitor.</li><li>Experience with Microsoft 365, Intune, and Power Platform for enterprise productivity, device management, and workflow automation.</li><li>Strong understanding of hybrid cloud architecture, including integration between on-premises infrastructure and cloud services.</li><li>Experience with Docker, Kubernetes, and Azure Kubernetes Service (AKS) for deploying and managing containerized applications in hybrid environments</li><li>Advanced knowledge of Azure Virtual Network (VNet) design, ExpressRoute, VPN gateways, DNS, load balancing, and secure network segmentation.</li></ul>Soft Skills:<ul><li>Excellent analytical and research skills.</li><li>Strong communication skills to collaborate with cross-functional teams.</li><li>Strong presentation skills</li></ul>Job Type: Full-timePay: From QAR15,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>IT infrastructure and cloud architecture: 3 years (Required)</li></ul>Language:<ul><li>Arabic (Required)</li><li>English (Required)</li></ul>License/Certification:<ul><li>degree in computer science, Computer Engineering (Required)</li></ul>Location:<ul><li>Doha (Required)</li></ul>

Cloud Infrastructure Architect

Job Overview:The Data Warehouse Expert will lead the data management, integration, governance, and operations workstreams of the Plant Data Management (PDM) project &ndash; a strategic &ldquo;Smart Plant&rdquo; initiative to create a single source of truth for all critical engineering and production data. This senior role requires a seasoned professional with at least 10 years of experience in data management in the oil &amp; gas industry. A strong background in Microsoft data warehousing technologies and an understanding of plant operational processes are essential for successKey Responsibilities:<ul><li>Evaluate the PDM project infrastructure-related components of bidder proposals, ensuring alignment architecture, data standards, &amp; operational requirements.</li><li>Lead the implementation of single source of truth, focusing on MS technologies including Azure, Microsoft 365, MSSQL, &amp; Power Platform in collaboration with implementation partners.</li><li>Collaborate with the solution enterprise architect to make sure the data warehouse design aligns with the overall solution architecture and IT infrastructure.</li><li>Lead the central repository architecture for integrated data from multiple sources (e.g. SAP, real-time systems, spreadsheets) in line with the PDM project requirements</li><li>Define the data models (schemas, tables, cubes) and storage strategy (on-premises MS SQL Server with potential hybrid cloud) to support reporting and analytics.</li><li>Ensure the configuration of ETL/ELT pipelines (using Microsoft SSIS or Azure Data Factory) to extract data from source systems, transform it, and load it into the warehouse.</li><li>Establish a robust data governance framework within the PDM scope, defining data ownership for different data domains (ensuring business stakeholders are identified as data owners), set up data stewardship roles if needed, and enforce policies for data usage, retention, and lifecycle management.</li><li>Enforce compliance with the company&rsquo;s cybersecurity and data privacy policies</li><li>Work to achieve high availability of the data platform. Implement redundancy and failover mechanisms as appropriate (clustering, backups, mirrored databases, etc.). Ensure disaster recovery plans are in place</li><li>Develop and implement data governance policies, standards, and procedures.</li><li>Collaborate with data owners and stewards to define data definitions, classifications, and quality rules.</li><li>Monitor data quality metrics and lead initiatives to resolve data issues.</li><li>Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and internal policies.</li><li>&sect; Maintain data catalogs, metadata repositories, and data lineage documentation.</li><li>Support data governance tools and platforms, ensuring proper configuration and usage.</li><li>Conduct training and awareness programs to promote data governance best practices.</li><li>Design and implement frameworks that enable secure, self-service access to data across departments.</li><li>Promote data literacy by developing training materials and conducting workshops on data usage and governance.</li><li>Support the deployment and adoption of data catalog and self-service BI tools.</li><li>Define and manage role-based access controls to balance data accessibility with security.</li><li>Act as a liaison between IT, data teams, and business stakeholders to and ensure relevant data is discoverable and usable.</li><li>Participate in data governance councils and cross-functional working groups, to align data strategy with business goals.</li><li>Provide guidance on data stewardship responsibilities and best practices.</li></ul>Required Qualifications:Educational Background:<ul><li>Bachelor&rsquo;s degree in Information Management, Computer Science, Business, or a related field.</li><li>3+ years of experience in data governance, data management, or a related discipline.</li><li>Strong understanding of data governance frameworks.</li><li>Familiarity with data privacy laws and regulatory requirements.</li><li>Experience with data governance.</li><li>Excellent communication, collaboration, and problem-solving skills.</li><li>Ability to work independently and manage multiple priorities in a fast-paced environment.</li></ul>Expected Experience<ul><li>10+ years of experience in data management roles, including data warehouse development, system integration, and IT project management.</li><li>5+ Experience must be in the oil &amp; gas industry, dealing with industrial or enterprise data.</li></ul>Technical Skills<ul><li>Deep expertise in Microsoft Data Warehouse technologies &ndash; MS SQL Server, SQL Server Integration Services (SSIS) for ETL, SQL Server Analysis Services (SSAS) for OLAP, and SQL querying/tuning</li><li>Strong knowledge of relational and dimensional data modeling. Ability to design normalized schemas for staging and integration, as well as star/snowflake schemas for analytics.</li><li>Experience with handling large datasets (hundreds of gigabytes to terabytes) efficiently (partitioning, indexing strategies, etc.)</li><li>Hands-on experience integrating multiple systems and platforms Microsoft BizTalk, SAP, &amp; SharePoint online.</li><li>Experience implementing data governance policies and using tools for data quality and metadata management</li><li>Proficient in project management practices</li><li>Certified Data Management Professional (CDMP)</li><li>Data Governance and Stewardship Professional (DGSP)</li><li>Certified Information Privacy Professional (CIPP)</li></ul>Soft Skills:<ul><li>Excellent analytical and research skills.</li><li>Strong communication skills to collaborate with cross-functional teams.</li><li>Strong presentation skills</li></ul>Job Type: Full-timePay: From QAR15,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data Warehouse : 3 years (Required)</li></ul>Language:<ul><li>Arabic (Required)</li><li>English (Required)</li></ul>License/Certification:<ul><li>degree in Information Management, Computer Science (Required)</li></ul>Location:<ul><li>Doha (Required)</li></ul>

Data Warehouse Expert

Worley

<div>Building on our past. Ready for the future
Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We&rsquo;re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now.
Primary Objectives / Responsibilities:
<ul><li>Supports adherence to accepted engineering and design practices, regulatory requirements, and customer specifications.
</li><li>Supports the standardization of equipment specifications, drawings, and document templates.
</li><li>Contributes to the understanding of technical knowledge, legal requirements, and customer specifications whenever viable and lawful.
</li><li>Uses local/global standards to support technical excellence.
</li><li>Supports checking, peer reviews, and incorporation of comments and findings.
</li><li>Deliver Offshore Structural discipline specific design and drafting services that meet Worley, the client&rsquo;s and applicable statutory and regulatory requirements
</li><li>Apply recognised offshore engineering practices applicable to Offshore Structural design engineering.
</li><li>Checking of drawings / models and maintaining quality of deliverable
</li><li>Complete detailed designs from structural engineering sketches and specifications.
</li><li>Determines technical issues, defines alternate solutions, establishes pros/cons for multiple solutions, and makes recommendations to support official project documents such as technical queries, technical deviations, etc.
</li><li>Creates final documentation incorporating all relevant information and pursues internal authorization.
</li></ul>Quality Assurance:
<ul><li>Work within the provisions and guidelines of the Quality Assurance systems.
</li></ul>Safety:
<ul><li>Responsible for personal safety and working within the Occupational Health &amp; Safety procedures.
</li><li>Competent in implementing HSE in the design process, focuses on process safety and strives to use best practice
</li></ul>Education &ndash; Qualifications, Accreditation, Training:
<ul><li>Diploma, Advance Diploma of Engineering Technology in Civil or Structural discipline
</li></ul>Industry Specific Experience:
<ul><li>Vast experience in in Brown Field Oil and Gas related Offshore Structural Design and Engineering
</li><li>Personnel shall have the specified minimum project experience in Oil &amp; Gas and shall be knowledgeable of the applicable Engineering codes and standards.
</li><li>Proficient in 3D modelling (E3D/S3D/PDMS) of Structures including understanding of constructability
</li><li>Extraction of 2D Draft and Production of design drawing
</li><li>Initiation of squad checks
</li><li>Generation of MTO&rsquo;s
</li><li>Excellent computer skills with AutoCAD, and E3D/S3D or PDM.
</li><li>Ability to create accurate design drawings from given base project information, design sketches etc.
</li><li>Computing (Excel and Word) and Graphical Presentation
</li></ul>IT Skills:
<ul><li>AutoCAD, and E3D/S3D or PDMS
</li><li>3D modelling (E3D/S3D/PDMS)
</li></ul>Moving forward together
We&rsquo;re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law.
We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation.
And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology.
Whatever your ambition, there&rsquo;s a path for you here. And there&rsquo;s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.</div>
 <ul><li>Personnel shall have the specified minimum project experience in Oil &amp; Gas and shall be knowledgeable of the applicable Engineering codes and standards.</li><li>
Vast experience in in Brown Field Oil and Gas related Offshore Structural Design and Engineering</li><li>
Computing (Excel and Word) and Graphical Presentation</li><li>
AutoCAD, and E3D/S3D or PDMS</li><li>
Excellent computer skills with AutoCAD, and E3D/S3D or PDM.</li></ul>

Senior Structural Designer

Fusion Outsourcing & Services

<div>
 
 
 Exciting IT Specialist Opportunities in Qatar!
 
 
 
 
 
 
 Are you an experienced IT professional looking for your next big career move? We are hiring for multiple IT Specialist roles based in Doha.
 
 
 
 
 
 We are seeking talented individuals to join a dynamic team and contribute to the technology sector:
 
 
 
 
 
 
 - IT Security Specialist: (5+ Years)
 
 
 
 ✔ Bachelor&rsquo;s degree in IT or related field.
 
 
 ✔ Next Gen Firewalls (Cisco FTD, Fortigate), IPS, VPN.
 
 
 ✔ Bluecoat Proxy, TrendMicro AV, DLP.
 
 
 ✔ LAN/WAN Security, TCP/IP, HTTP Protocol.
 
 
 
 
 
 
 - Senior Application Support Specialist: (10+ Years)
 
 
 
 ✔ Bachelor&rsquo;s in IT or relevant.
 
 
 ✔ MS Dynamics 365, IBM Maximo, Oracle EBS/Fusion, ARM.
 
 
 ✔ Azure, .NET, SQL Server, SharePoint.
 
 
 ✔ Primavera P6, Unifier, OCI, Oracle DB.
 
 
 ✔ L1/L2 Support, UAT, Requirements Documentation.
 
 
 
 
 
 
 - Senior Application Support Expert: (12+ Years)
 
 
 
 ✔ Strong exposure to enterprise systems &amp; Oracle/Microsoft tech stack.
 
 
 ✔ Advanced L1/L2 support, UAT, business requirements handling.
 
 
 
 
 
 
 - IT Project Manager: (5+ Years)
 
 
 
 ✔ Bachelor&rsquo;s in IT or relevant.
 
 
 ✔ PMP / PRINCE 2 preferred.
 
 
 ✔ Project planning, risk management, stakeholder communication.
 
 
 ✔ Agile &amp; Waterfall methodologies.
 
 
 
 
 
 
 - Senior IT Project Manager: (10+ Years)
 
 
 
 ✔ PMP / PRINCE 2 preferred.
 
 
 ✔ Large-scale IT delivery &amp; programme management.
 
 
 ✔ Governance, portfolio &amp; vendor management.
 
 
 
 
 
 
 - Application Analyst: (5+ Years)
 
 
 
 ✔ Requirements gathering &amp; business process analysis.
 
 
 ✔ System configuration, testing &amp; user support.
 
 
 
 
 
 
 - Senior Application Administrator: (12+ Years)
 
 
 
 ✔ Enterprise-level application administration.
 
 
 ✔ System optimization &amp; performance tuning.
 
 
 ✔ Database administration &amp; integration management.
 
 
 
 
 
 
 - Senior Application Analyst: (12+ Years)
 
 
 
 ✔ Enterprise solution design.
 
 
 ✔ Complex requirements management.
 
 
 ✔ Business intelligence expertise.
 
 
 
 
 
 
 - Senior Infrastructure Specialist: (12+ Years)
 
 
 
 ✔ VMware (NSX/SRM/HCX), HCI.
 
 
 ✔ Windows, AD, Exchange, O365.
 
 
 ✔ Azure &amp; GCP.
 
 
 ✔ Enterprise storage, backup &amp; disaster recovery.
 
 
 ✔ Data centre operations.
 
 
 
 
 
 
 - Enterprise Architect: (12+ Years)
 
 
 
 ✔ TOGAF preferred, Big 4 experience preferred.
 
 
 ✔ EA frameworks (TOGAF/Zachman).
 
 
 ✔ IT strategy, governance &amp; technology roadmaps.
 
 
 ✔ Business capability mapping &amp; solution architecture.
 
 
 
 
 
 
 - Senior IoT Expert: (12+ Years)
 
 
 
 ✔ Azure IoT Hub, Event Hub, Stream Analytics.
 
 
 ✔ Angular/React, C#/NodeJS.
 
 
 ✔ DevOps, microservices.
 
 
 ✔ Smart city / construction IoT experience preferred.
 
 
 
 
 
 
 - Senior Cloud Expert: (12+ Years)
 
 
 
 ✔ Azure / AWS / GCP.
 
 
 ✔ IaaS / PaaS / SaaS.
 
 
 ✔ Docker, Kubernetes.
 
 
 ✔ Multi-cloud &amp; cloud transformation strategy.
 
 
 ✔ CloudOps / DevOps.
 
 
 
 
 
 
 - Senior Information Management Expert: (12+ Years)
 
 
 
 ✔ Data Governance &amp; Enterprise Data Strategy.
 
 
 ✔ MDM &amp; Data Quality Management.
 
 
 ✔ OBIEE, Oracle Analytics Cloud, IBM Watson.
 
 
 ✔ AI/ML, R, Python.
 
 
 ✔ Hadoop, Spark, Kafka, Blockchain.
 
 
 
 
 
 If you have the skills and experience for any of these positions and are ready for a new challenge, we&rsquo;d love to connect with you. Please share your updated CV to explore these opportunities further.
 
</div>

Information Technology Services Specialist

Commercial Bank

<div>
 
 About Commercial Bank Of Qatar
 
 
 
 Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar&rsquo;s economic development by offering a range of personal, business, government, international and investment services.
 
 
 We believe in empowering our employees, providing them with opportunities for growth and professional development.
 
 
 By Joining us, you&rsquo;ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.
 
 
 Join us in shaping the future of banking!
 
 
 
 Job Summary
 
 
 
 <ul>
 <li>
 Responsible for developing advanced machine learning models for banking use cases including pricing optimization, customer propensity modelling, and recommendation systems.
 </li>
 <li>
 This senior role requires deep expertise in statistical modelling and machine learning combined with substantial banking and financial services domain knowledge .
 </li>
 <li>
 The position focuses on translating complex business problems in areas such as Risk, Finance, Retail Banking, and Wholesale Banking into actionable ML solutions.
 </li>
 <li>
 Will leverage their understanding of banking products, regulatory requirements, and financial metrics to build models that drive measurable business value.
 </li>
 <li>
 The role requires a balance of domain expertise and technical capability, with sufficient programming skills in Python and SQL to develop and deliver working prototypes that can be transitioned to production.
 
 
 </li>
 </ul>
 
 
 Key Accountabilities
 
 
 
 
 <ul>
 <li>
 ML Model Development
 </li>
 <li>
 Design and develop machine learning models for pricing optimization, including dynamic pricing, rate optimization, and fee structures.
 </li>
 <li>
 Build propensity models for customer behavior prediction including churn, cross-sell, upsell, and product adoption.
 </li>
 <li>
 Develop recommendation systems for personalized product offerings, next-best-action, and customer engagement.
 </li>
 <li>
 Banking Domain Application
 </li>
 <li>
 Apply deep banking domain knowledge to frame business problems as ML solutions with measurable outcomes.
 </li>
 <li>
 Partner with Risk, Finance, and business units to identify high-value modeling opportunities.
 </li>
 <li>
 Ensure models incorporate relevant regulatory requirements, risk considerations, and business constraints.
 </li>
 <li>
 Analysis &amp; Insights
 </li>
 <li>
 Conduct exploratory data analysis to identify patterns, relationships, and modeling opportunities in banking data.
 </li>
 <li>
 Translate model outputs into actionable business recommendations and insights.
 </li>
 <li>
 Develop model performance metrics aligned with business KPIs and financial outcomes.
 </li>
 <li>
 Create data visualizations and reports for stakeholder communication.
 </li>
 <li>
 Prototyping &amp; Delivery
 </li>
 <li>
 Develop working prototypes in Python demonstrating model functionality and business value.
 </li>
 <li>
 Create clear documentation of model methodology, assumptions, limitations, and use cases.
 </li>
 <li>
 Collaborate with ML Engineers and AI Engineers to transition prototypes to production systems.
 </li>
 <li>
 Stakeholder Collaboration
 </li>
 <li>
 Partner with business stakeholders to understand requirements and validate model outputs.
 </li>
 <li>
 Present model results, methodology, and recommendations to senior management.
 </li>
 <li>
 Contribute to model governance, validation, and documentation requirements.
 </li>
 <li>
 Ensure compliance with data policies, ethical standards, and regulatory requirements.
 
 
 </li>
 </ul>
 
 Key Competencies
 
 
 
 <ul>
 <li>
 Machine Learning &amp; Statistics
 </li>
 <li>
 Expert knowledge of supervised and unsupervised learning techniques for classification, regression, and clustering.
 </li>
 <li>
 Deep experience with pricing models, propensity modeling, and recommendation systems.
 </li>
 <li>
 Strong foundation in statistical analysis, hypothesis testing, and experimental design.
 </li>
 <li>
 Familiarity with deep learning frameworks (TensorFlow, PyTorch) for advanced use cases.
 </li>
 <li>
 Banking Domain Expertise
 </li>
 <li>
 Comprehensive understanding of banking products (Retail or Corporate business), services, and customer lifecycle.
 </li>
 <li>
 Knowledge of Risk functions including credit risk, market risk, and operational risk frameworks.
 </li>
 <li>
 Understanding of Finance functions including P&amp;L drivers, cost allocation, and profitability analysis.
 </li>
 <li>
 Familiarity with regulatory requirements affecting model development (IFRS 9, Basel, etc.).
 </li>
 <li>
 Technical Skills
 </li>
 <li>
 Python for data analysis and model development (pandas, scikit-learn, XGBoost, etc.).
 </li>
 <li>
 SQL &ndash; Advanced user (Stored Procedures, Window functions, Temp Tables, Recursive Queries).
 </li>
 <li>
 Experience with data visualization and reporting tools.
 </li>
 <li>
 Familiarity with Git (GitHub/GitLab) for version control.
 </li>
 <li>
 Basic understanding of Spark for large-scale data processing.
 </li>
 <li>
 Awareness of MLOps practices and model deployment concepts (MLflow, TFX).
 </li>
 <li>
 Communication &amp; Collaboration
 </li>
 <li>
 Ability to translate complex analytical concepts into business language for non-technical stakeholders.
 </li>
 <li>
 Strong presentation skills for executive-level communication.
 </li>
 <li>
 Experience working with cross-functional teams across business and technology.
 </li>
 <li>
 Agile methodologies (Kanban, Scrum) experience.
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Finance, Economics, Statistics, Mathematics, or quantitative field strongly preferred.
 </li>
 <li>
 8+ years of experience in data science or quantitative analysis roles.
 </li>
 <li>
 Minimum 5 years of experience in banking or financial services industry is mandatory.
 </li>
 <li>
 Proven track record of delivering ML models in pricing, propensity, or recommendation domains.
 </li>
 <li>
 Background in Risk, Finance, or quantitative functions within banking preferred.
 </li>
 <li>
 Experience with model validation, governance, and regulatory requirements in financial services.
 </li>
 <li>
 Professional certifications in Risk (FRM, PRM) or Finance (CFA) are a plus.
 
 
 </li>
 </ul>
 
 
 Why Commercial Bank?
 
 
 
 
 <ul>
 <li>
 Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
 </li>
 <li>
 An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking
 </li>
 <li>
 Opportunities for Global Partnerships &amp; International Exposure, connecting employees with global networks and perspectives.
 </li>
 <li>
 A focus on Employee Well-being &amp; Work-Life Balance, ensuring a healthy and supportive environment for all team members
 </li>
 <li>
 Competitive Compensation &amp; Benefits that ensure our employees are rewarded for their dedication and performance
 </li>
 <li>
 A strong Commitment to Diversity, Equity &amp; Inclusion, fostering a culture that values every individual&rsquo;s unique perspective.
 
 
 </li>
 </ul>
 At Commercial Bank, we don&rsquo;t just offer careers, We shape futures by pioneering
 
 digital transformation
 
 in Qatar&rsquo;s banking sector, blending
 
 digital-first
 
 approach to redefine banking through
 
 innovative
 
 solutions.
 
 
 
 Disclaimer
 
 
 
 We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.
</div>

Senior Data Science Expert

Qatar Electricity and Water Company

<div><div><div><div>Organization</div><div> Asset Management</div></div> 
<div><div>Preferred Age </div><div>Between 35 and 52</div></div> 
<div><div>Preferred Gender </div><div>Male</div></div> 
<div><div>Minimum Experience</div><li>Minimum of 10 years of renewables technology experience in which 6 years should be in renewable energy OEM or operating businesses. years
</li></div> 
<div><div>Qualifications </div><li>University degree in Engineering with emphasis on Renewable Energy, Electrical or Power from a recognized university. Secondary degree in Business Administration is preferred.</li></div> 
<div><div>Responsibilities </div><div>JOB PURPOSE: Responsible to oversee and support asset management, operations, engineering, and maintenance activities related to the Group&rsquo;s renewable energy portfolio. In support of portfolio growth, the incumbent shall also be responsible for identification, exploration, and assessment of emerging clean energy solutions for their technical feasibility, environmental sustainability, safety, regulatory compliance, and ability to predictably meet Nebras Energy&rsquo;s desired business outcomes. KEY ACCOUNTABILITIES: Description Asset Portfolio Management: - Demonstrate exceptional knowledge and understanding of: - Clean energy generation technologies including solar PV, wind (onshore/offshore), hydroelectricity, and geothermal. - Grid-scale energy storage technologies including battery (current and developing chemistries) and long-duration energy storage technologies including pumped hydro, gravity, LAES, CAES, and thermal. - Low-emission fuels and related production technologies including biofuels, hydrogen, and electrolysers. - Maintain awareness of market developments and advancements in clean energy technologies, and their related impacts on the renewable energy industry with particular focus on performance, efficiency, and reliability improvements, as well as lifecycle cost optimization. - Demonstrate strong analytical and problem-solving skills, with the ability to assess and optimize the results of technical and business impact trade-offs. - Continually push the boundaries for technological and commercial - Sponsor and sustain an environment of collaboration and teamwork to continually raise performance standards and bar of expectations. Financial &amp; Compliance Management: - Conduct detailed financial analyses for the assets, including budget management, cost control, and profitability assessments. Calculate and monitor financial metrics such as the Internal Rate of Return for each asset class. - Ensure all operations comply with local, national, and international regulatory requirements, particularly focusing on environmental, safety, and operational regulations pertinent to renewable assets. Planning and Risk Management: - Support the creation of business plans, development of budgeting instructions, and performance of techno/commercial reviews in support of the Nebras Energy&rsquo;s portfolio planning and budget process. - Manage, control, and organize work in accordance with established project management principles; identify priorities; anticipate resources needed and allocate resources when planning the work of others and remain flexible in a changing business environment. - Develop and actively manage approved supplier lists for technology service providers. Track technology services market prices to ensure optimal provisions of sourcing solutions. Support Due Diligence and M and A exercises as directed. Performance Monitoring and Reporting: - Analyse issues and formulate decisions with limited information if situation demands. - Implement structured problem-solving techniques, based on deep knowledge of business and technology fundamentals. People Management: - Lead interactions with suppliers, universities, laboratories, and other stakeholders in setting up technology partnerships and programs to further Nebras Energy&rsquo;s strategic priorities. - Engage with all stakeholders to assure comprehension of the Business mission and alignment with goals and objectives. - Build relations and establish credibility as a trusted advisor for colleagues and JV Partners. - Adopt a management style based upon collaboration, partnership, openness, and inclusion. - Encourage teams to communicate, and actively lead performance initiatives taking personal accountability to meet deadlines in a challenging business environment. Policies, Systems, Processes &amp; Procedures: - Oversee the management and monitoring of all contracted renewable technology services and activities. Lead and disseminate assessments of the current techno-commercial status of the business. Identify optimisation and restructuring potential of existing renewable technology service agreements. - Foster an environment of highly empowered, self-directed, and competent technical support for the negotiation and management of contracts with OEM&rsquo;s and EPC&rsquo;s. - Track renewable technology developments, engaging with industry peers and networks to keep abreast of industry developments and innovation. - Control and maintain best-in-class renewable technology practices and performance. Continuous Improvement: - Ensure continuous improvement and sustained excellence in the delivery of technical services through proactive, cross functional exchanges/dialogue, and the applications of lessons learned. Provide Project management leadership as requested. - Develop and enable the application of continual learning processes to leverage Nebras Energy Portfolio knowledge and outcomes to ensure the delivery of the Nebras Energy Portfolio Business Plan. Design and enable value realization from warranty provisions. Reporting - Ensure that all department reports are prepared timely and accurately and meet Nebras Energy requirements, policies, and quality standards. COMMUNICATIONS &amp; WORKING RELATIONSHIPS: Internal &sect; Chief Asset Management Officer &sect; Manager - Asset Management International &sect; Regional Asset Managers &sect; Portfolio Manager &sect; Technology Senior Expert &ndash; CCGT Assets &sect; Technology Senior Expert - Renewable Assets External &sect; JV Sponsor Representatives &sect; Regulatory Bodies &amp; Government &sect; International Stakeholders &sect; Investors &sect; Clients Context, Work environment &amp; DECISION-MAKING AUTHORITY: - Key decisions significantly impacting the Asset Management department are referred to the Chief Asset Management Officer for approval before implementation. - The job holder possesses delegated authority as determined by the company&rsquo;s Board of Directors and outlined in the corporate authority matrix, enabling effective and compliant management. QUALIFICATIONS, EXPERIENCE, &amp; SKILLS: Education/Experience Requirements: - University degree in Engineering with emphasis on Renewable Energy, Electrical or Power from a recognized university. Secondary degree in Business Administration is preferred. - Minimum of 10 years of renewables technology experience in which 6 years should be in renewable energy OEM or operating businesses. - Professional user level skills in computing, Microsoft Office and user level skills in utility scale plant design and techno-economic systems (pvDesign, System Advisor Model, etc.). Required Special Skills: - Strong, broad based technical knowledge of renewable energy technologies and designs. - Familiarity with renewable asset operational best practices to support the development of lifecycle cost optimization and plant reliability, availability, and efficiency strategies. - Continuous improvement mindset and commitment to operational excellence for all aspects of renewable energy generation including technical, commercial, EHSS, workforce, regulatory, etc. - Good understanding of modern business practices, with strong commercial mindset and analytical capability. - Exceptional knowledge and hands on experience with renewable energy IEC standards and their applications. Extensive experience with stakeholder engagement, communication, collaboration, and presentation skills. - Prior experience working in a multinational environment, with respect for various cultures and customs. Ability to work with teams from diverse cultural backgrounds across broad geographies. - Ability to identify design and performance improvements up to and including repowering opportunities. - Familiarity with SCADA / monitoring systems and advanced cyber-secure asset communication solutions. Ability to work outside of normal business hours, and flexible for geographic mobility assignments as required.</div></div></div></div>

Assets Manager – Renewables Technology

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