project engineer

sales engineer

estimation engineer

mechanical engineer

technical engineer

machine learning engineer

Etihad Credit Bureau

<div>
 
 
 JOB DESCRIPTION SUMMARY
 
 
 
 
 
 
 The Machine Learning Engineer role will specialise in maintaining scoring models, production system maintenance and high-availability operations. You'll orchestrate and maintain our AzureML/Databricks-based scoring engine, ensure 99.99% uptime for production models, perform emergency fixes, and manage QA/UAT processes. This role partners with data scientists to operationalize models and data engineers to ensure efficient data flows.
 
 
 
 
 
 
 KEY DUTIES &amp; RESPONSIBILITIES
 
 
 <ul>
 <li>
 
 Production Model Maintenance:
 
 Monitor, troubleshoot, and rectify issues in deployed credit scoring models (e.g., score drift, feature misalignment, output anomalies).
 </li>
 <li>
 
 Platform Orchestration:
 
 Manage AzureML pipelines &amp; Databricks workflows for model retraining, batch scoring, and real-time inference.
 </li>
 <li>
 
 High-Availability Engineering:
 
 Ensure 24/7 uptime of scoring APIs serving banking clients; implement failover systems and load balancing.
 </li>
 <li>
 
 Release Management:
 
 Oversee QA/UAT processes for model updates including back-testing, shadow deployments, and canary releases.
 </li>
 <li>
 
 Model Governance:
 
 Maintain audit trails for model versions, inputs/outputs, and performance metrics. Support Compliance and Audit with creation of logs when requested.
 </li>
 <li>
 
 Incident Response:
 
 Lead troubleshooting of scoring engine failures with SLAs for financial institution clients.
 </li>
 <li>
 
 Infrastructure Optimization:
 
 Tune AzureML/Databricks clusters for cost-performance efficiency at scale.
 </li>
 <li>
 
 Vendor Management:
 
 Ensure vendor support is completing work as per scope and SLAs. Rectifying any vendor delivery issues.
 </li>
 </ul>
 
 
 
 
 
 EDUCATION &amp; SKILLS
 
 
 <ol>
 <li>
 Educated with at least bachelor&rsquo;s degree or equivalent in related field
 </li>
 <li>
 Education specialization or master&rsquo;s degree in computer science, Software Engineering
 </li>
 <li>
 Proficient in English
 </li>
 <li>
 Preferred proficiency in Arabic
 </li>
 <li>
 In-depth knowledge of React Native and Next JS and related modules, components and libraries
 </li>
 <li>
 Preferred In-depth knowledge of SiteCore or experience integrating with SiteCore
 </li>
 </ol>
 
 
 
 
 
 EXPERIENCE &amp; KNOWLEDGE
 
 
 <ol>
 <li>
 Bachelor's/Master's in Computer Science, Engineering, Data Science, or related field
 </li>
 <li>
 2+ years in Data Science or Software Engineering experience
 </li>
 <li>
 2+ years production ML operations experience, MLOps lifecycle management, including monitoring, retraining, and model versioning.
 </li>
 <li>
 Strong problem-solving skills and the ability to resolve issues efficiently.
 </li>
 <li>
 CI/CD for ML systems using tools such as Azure DevOps, GitHub Actions, MLflow, and other similar tools
 </li>
 <li>
 Ability to adapt ML workflows across different cloud environments (Azure, AWS, GCP) as needed.
 </li>
 </ol>
 
 
 
 
 
 ABILITIES &amp; SPECIFIC REQUIREMENTS
 
 
 <ol>
 <li>
 Practical experience in cloud-based ML platforms such as AzureML, Databricks, or equivalent (e.g., SageMaker, Vertex AI), with a preference for Azure.
 </li>
 <li>
 Python/PySpark for model debugging and patching. Working knowledge of Scikit-Learn and NumPy
 </li>
 <li>
 Deep understanding of credit scoring systems: feature engineering, scorecard interpretation, and output validation
 </li>
 <li>
 Credit bureau data structures (tradelines, inquiries, public records)
 </li>
 <li>
 Model risk management (MRM) standards
 </li>
 <li>
 Azure Solutions Architect or MLOps certifications
 </li>
 <li>
 Experience with financial services-grade SLAs (99.9% uptime) and outage management
 </li>
 <li>
 Knowledge of containerization (Docker, Kubernetes, AKS, or similar orchestration tools)
 </li>
 <li>
 Practical experience with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS) / Azure Blob Storage
 </li>
 <li>
 Knowledge of new and upcoming AI tools
 </li>
 <li>
 This is contained within the earlier requirement of python. If the plan is for this resource
 </li>
 <li>
 Excellent written and verbal communication skills English
 </li>
 <li>
 Strong interpersonal skills with the ability to engage and build relationships
 </li>
 <li>
 Crisis management under pressure
 </li>
 <li>
 Cross-functional collaboration with data science/risk teams
 </li>
 <li>
 Strong organizational skills with the ability to manage multiple tasks and projects simultaneously.
 </li>
 <li>
 Ability to develop and document procedures, roles, and guidelines.
 </li>
 <li>
 
 Security and Compliance
 
 Especially in financial services, mention data security, PII handling, and compliance with regulations
 </li>
 </ol>
</div>

Machine Learning Engineer (Contract - For Immediate Hire)

Intellect Design Arena Ltd

<div>
 
 About the job
 
 
 
 
 
 
 About Us:
 
 
 
 Intellect Design Arena Ltd is a global leader in enterprise-grade financial technology, delivering composable and intelligent solutions to forward-looking financial institutions across 61 countries. With three decades of domain expertise, our product suite spans Wholesale Banking, Consumer Banking, Central Banking, Wealth, Capital Markets, Treasury, Insurance and Digital Technology for Commerce. Applying First Principles Thinking and Design Thinking, we have elementalised the financial services landscape into a finite set of Events, Microservices, and APIs, enabling faster, modular transformation with measurable outcomes.
 
 
 
 
 At the heart of this are eMACH.ai, the world&rsquo;s most comprehensive, composable and intelligent open finance platform; Purple Fabric, the world&rsquo;s first Open Business Impact AI platform; and iTurmeric, our composable platform for seamless integration and configuration. We are a pioneer in applying Design Thinking and our 8012 FinTech Design Center, the world&rsquo;s first Design Center dedicated to Design Thinking Principles, underscores our commitment to continuous and impactful innovation, addressing the ever-growing need for digital transformation. We proudly serve over 500+ customers worldwide, supported by a diverse workforce of solution architects, and domain and technology experts in major global financial hubs. For more information, visit
 
 www.intellectdesign.com
 
 
 
 
 
 
 
 
 
 
 Role Overview:
 
 
 
 As an AI Engineer, you will work directly with clients to own the implementation of AI solutions using our AI platform. You will build and deploy end-to-end AI workflows, taking projects from concept to production, and solving complex, real-world challenges at scale. Your insights and learnings from client engagements will directly contribute to the evolution of our platform, ensuring we stay at the forefront of AI innovation.
 
 
 You will play a key role in expanding our presence into new markets and problem spaces unlocked by Generative AI.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 Deliver Production-Ready AI Solutions:
 
 Design and deploy AI Agents, data processing pipelines, that are robust, scalable, and suitable for real-world applications.
 </li>
 <li>
 
 Solve Real Business Problems:
 
 Focus on practical AI solutions that address tangible business challenges, moving beyond theoretical approaches.
 </li>
 <li>
 
 Collaborate Across Teams:
 
 Work effectively with both technical and non-technical stakeholders to ensure clear communication and smooth project execution.
 </li>
 <li>
 
 Adapt in Dynamic Environments:
 
 Operate comfortably in fast-paced, evolving settings, adjusting quickly to shifting objectives and direct user feedback.
 </li>
 <li>
 
 Drive Innovation and Growth:
 
 Embrace an entrepreneurial mindset, continuously learning, innovating, and striving to make a high impact in a rapidly changing field.
 </li>
 <li>
 
 Client Interaction and Strategy Development:
 
 Engage with clients to understand their challenges, develop AI strategies, and translate their needs into actionable technical solutions.
 </li>
 <li>
 
 Deploying Solutions to Production:
 
 Move AI workflows from prototype to production, ensuring they integrate smoothly into client environments and solve real-world problems.
 </li>
 <li>
 
 Iterating and Improving:
 
 Continuously enhance deployed solutions based on feedback and evolving requirements, focusing on debugging, performance improvement, and workflow adaptation.
 </li>
 <li>
 
 Contributing to Platform Evolution:
 
 Share field insights to influence the development of new features and capabilities within the AI platform, aligning it with market needs.
 </li>
 </ul>
 
 
 Key Traits:
 
 
 <ul>
 <li>
 
 Technical Proficiency:
 
 Expertise in building and deploying AI models, data pipelines, and advanced analytics in production environments.
 </li>
 <li>
 
 Problem-Solver:
 
 Ability to design practical, impactful AI solutions that address real business challenges, focusing on tangible outcomes
 </li>
 <li>
 
 Collaborative:
 
 Effective communication skills to work with diverse teams, including technical and non-technical stakeholders, and explain complex AI concepts in understandable terms.
 </li>
 <li>
 
 Adaptable:
 
 Comfortable working in dynamic, fast-paced environments with evolving objectives, quickly iterating on solutions based on feedback.
 </li>
 <li>
 
 Innovative and Entrepreneurial:
 
 Passion for continuous learning, innovation, and applying an entrepreneurial approach to drive impact and growth.
 </li>
 <li>
 
 Client-Focused:
 
 Strong ability to engage directly with clients, understand their needs, and align AI strategies with business objectives.
 </li>
 <li>
 
 Detail-Oriented:
 
 Focus on refining, testing, and fine-tuning AI solutions for optimal performance in real-world settings.
 </li>
 <li>
 
 Continuous Learner:
 
 Commitment to staying updated on the latest AI technologies, tools, and methodologies, exploring new approaches to keep skills and solutions cutting-edge.
 </li>
 </ul>
 
 
 Skills and Qualifications:
 
 
 <ul>
 <li>
 Proven experience developing solutions using Generative AI models, with a strong understanding of the AI landscape and related technologies.
 </li>
 <li>
 Solid foundation in Machine Learning principles, including evaluation, training, and problem decomposition.
 </li>
 <li>
 Strong background in engineering or a related technical field such as Computer Science, Mathematics, Software Engineering, Physics, or Machine Learning.
 </li>
 <li>
 Proficiency in programming languages such as Python, Java, C++, JavaScript/TypeScript, or similar.
 </li>
 </ul>
 
 
 
 
 
 Experience : 6+ Years
 
 
 
 
 
 
 This role is a blend of technical innovation, strategic consulting, and hands-on problem-solving, making each day varied, challenging, and impactful.
 
 
 
</div>

Knowledge Engineer

<div>
 
 
 About Us:
 
 
 
 Intellect Design Arena Ltd is a global leader in enterprise-grade financial technology, delivering composable and intelligent solutions to forward-looking financial institutions across 61 countries. With three decades of domain expertise, our product suite spans Wholesale Banking, Consumer Banking, Central Banking, Wealth, Capital Markets, Treasury, Insurance and Digital Technology for Commerce. Applying First Principles Thinking and Design Thinking, we have elementalised the financial services landscape into a finite set of Events, Microservices, and APIs, enabling faster, modular transformation with measurable outcomes.
 
 
 
 
 At the heart of this are eMACH.ai, the world&rsquo;s most comprehensive, composable and intelligent open finance platform; Purple Fabric, the world&rsquo;s first Open Business Impact AI platform; and iTurmeric, our composable platform for seamless integration and configuration. We are a pioneer in applying Design Thinking and our 8012 FinTech Design Center, the world&rsquo;s first Design Center dedicated to Design Thinking Principles, underscores our commitment to continuous and impactful innovation, addressing the ever-growing need for digital transformation. We proudly serve over 500+ customers worldwide, supported by a diverse workforce of solution architects, and domain and technology experts in major global financial hubs. For more information, visit
 
 www.intellectdesign.com
 
 
 
 
 
 
 
 
 
 
 Role Overview:
 
 
 
 As an AI Engineer, you will work directly with clients to own the implementation of AI solutions using our AI platform. You will build and deploy end-to-end AI workflows, taking projects from concept to production, and solving complex, real-world challenges at scale. Your insights and learnings from client engagements will directly contribute to the evolution of our platform, ensuring we stay at the forefront of AI innovation.
 
 
 You will play a key role in expanding our presence into new markets and problem spaces unlocked by Generative AI.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 Deliver Production-Ready AI Solutions:
 
 Design and deploy AI Agents, data processing pipelines, that are robust, scalable, and suitable for real-world applications.
 </li>
 <li>
 
 Solve Real Business Problems:
 
 Focus on practical AI solutions that address tangible business challenges, moving beyond theoretical approaches.
 </li>
 <li>
 
 Collaborate Across Teams:
 
 Work effectively with both technical and non-technical stakeholders to ensure clear communication and smooth project execution.
 </li>
 <li>
 
 Adapt in Dynamic Environments:
 
 Operate comfortably in fast-paced, evolving settings, adjusting quickly to shifting objectives and direct user feedback.
 </li>
 <li>
 
 Drive Innovation and Growth:
 
 Embrace an entrepreneurial mindset, continuously learning, innovating, and striving to make a high impact in a rapidly changing field.
 </li>
 <li>
 
 Client Interaction and Strategy Development:
 
 Engage with clients to understand their challenges, develop AI strategies, and translate their needs into actionable technical solutions.
 </li>
 <li>
 
 Deploying Solutions to Production:
 
 Move AI workflows from prototype to production, ensuring they integrate smoothly into client environments and solve real-world problems.
 </li>
 <li>
 
 Iterating and Improving:
 
 Continuously enhance deployed solutions based on feedback and evolving requirements, focusing on debugging, performance improvement, and workflow adaptation.
 </li>
 <li>
 
 Contributing to Platform Evolution:
 
 Share field insights to influence the development of new features and capabilities within the AI platform, aligning it with market needs.
 </li>
 </ul>
 
 
 Key Traits:
 
 
 <ul>
 <li>
 
 Technical Proficiency:
 
 Expertise in building and deploying AI models, data pipelines, and advanced analytics in production environments.
 </li>
 <li>
 
 Problem-Solver:
 
 Ability to design practical, impactful AI solutions that address real business challenges, focusing on tangible outcomes
 </li>
 <li>
 
 Collaborative:
 
 Effective communication skills to work with diverse teams, including technical and non-technical stakeholders, and explain complex AI concepts in understandable terms.
 </li>
 <li>
 
 Adaptable:
 
 Comfortable working in dynamic, fast-paced environments with evolving objectives, quickly iterating on solutions based on feedback.
 </li>
 <li>
 
 Innovative and Entrepreneurial:
 
 Passion for continuous learning, innovation, and applying an entrepreneurial approach to drive impact and growth.
 </li>
 <li>
 
 Client-Focused:
 
 Strong ability to engage directly with clients, understand their needs, and align AI strategies with business objectives.
 </li>
 <li>
 
 Detail-Oriented:
 
 Focus on refining, testing, and fine-tuning AI solutions for optimal performance in real-world settings.
 </li>
 <li>
 
 Continuous Learner:
 
 Commitment to staying updated on the latest AI technologies, tools, and methodologies, exploring new approaches to keep skills and solutions cutting-edge.
 </li>
 </ul>
 
 
 Skills and Qualifications:
 
 
 <ul>
 <li>
 Proven experience developing solutions using Generative AI models, with a strong understanding of the AI landscape and related technologies.
 </li>
 <li>
 Solid foundation in Machine Learning principles, including evaluation, training, and problem decomposition.
 </li>
 <li>
 Strong background in engineering or a related technical field such as Computer Science, Mathematics, Software Engineering, Physics, or Machine Learning.
 </li>
 <li>
 Proficiency in programming languages such as Python, Java, C++, JavaScript/TypeScript, or similar.
 </li>
 </ul>
 
 
 
 
 
 
 
 This role is a blend of technical innovation, strategic consulting, and hands-on problem-solving, making each day varied, challenging, and impactful.
 
 
 
</div>

Generative AI Engineer

Tap Growth ai

<div>
 
 🌟 We're Hiring: Senior Data Scientist - Machine Learning! 🌟
 
 
 
 The role is responsible for designing, developing, and productionizing AI/ML models that deliver measurable business impact. It owns the full lifecycle from framing business problems and shaping data sets to model training, deployment with MLOps best practices, and post- launch monitoring. The role ensures models are accurate, reliable, and aligned with business objectives, while translating complex business requirements into actionable AI solutions and promoting transparency across key processes and performance indicators.
 
 
 
 📍 Location:
 
 Dubai, United Arab Emirates
 
 
 
 ⏰ Work Mode:
 
 Work From Office
 
 
 
 💼 Role:
 
 Senior Data Scientist - Machine Learning
 
 
 Experience - 3 to 10 years
 
 
 Salary - 20000 AED to 22000 AED + Benefits
 
 
 
 Core Activities Experience
 
 
 
 Proven experience applying AI/ML solutions in real-world domains such as aviation, transportation, or enterprise operations. Strong track record in translating business challenges into AI/ML opportunities with measurable business impact.
 
 
 Expertise in deep learning and statistical methods, with hands- on model development and production deployment. Familiarity with Responsible AI principles and their application in regulated industries
 
 .
 
 
 
 <ul>
 <li>
 Machine Learning Model Development &amp; Deployment
 </li>
 <li>
 Data Engineering &amp; MLOps
 </li>
 <li>
 Governance, Compliance &amp; Responsible AI
 </li>
 <li>
 Problem Framing &amp; Business Alignment
 </li>
 <li>
 Stakeholder Engagement &amp; Decision Support
 
 
 </li>
 </ul>
 
 Skills,Tools ,and Systems Experience
 
 
 
 <ul>
 <li>
 Programming &amp; Data Science: Python, R, SQL, Stream Lit
 </li>
 <li>
 ML&amp;AI Frameworks: Tensor Flow, PyTorch, Keras, scikit-learn, Hugging Face MLOps &amp;Deployment: Docker, Kubernetes, GitCI /CD
 </li>
 <li>
 Data Engineering: Apache Spark, Kafka, dbt
 </li>
 <li>
 Cloud Platforms : Azure ML
 </li>
 <li>
 Visualization : Power BI, Tableau Responsible AI Tools AI Governance Platform(e.g. Atlan)
 
 
 </li>
 </ul>
 Ready to make an impact? 🚀 Apply now and let's innovate together!
</div>

Senior Data Scientist - Machine Learning

Ceenex Global LLC

Capgemini Engineering

<div>
 At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
 
 
 Your Role
 
 
 We are seeking a highly analytical and innovative Data Scientist to join our team. The ideal candidate will be responsible for extracting insights from complex datasets, building predictive models, and supporting data-driven decision-making across manufacturing operations.
 
 
 
 Key Responsibilities Of This Role
 
 
 
 <ul>
 <li>
 Collect, clean, and preprocess structured and unstructured data from various sources.
 </li>
 <li>
 Develop and implement statistical models, machine learning algorithms, and data mining techniques.
 </li>
 <li>
 Perform exploratory data analysis to identify trends, patterns, and anomalies.
 </li>
 <li>
 Translate business problems into analytical solutions and communicate findings effectively.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate data science solutions into business processes.
 </li>
 <li>
 Create visualizations and dashboards to present insights to stakeholders.
 </li>
 <li>
 Continuously monitor model performance and update models as needed.
 </li>
 <li>
 Document methodologies, experiments, and results for reproducibility and knowledge sharing.
 
 
 </li>
 </ul>
 Your Profile
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 2&ndash;5 years of experience in data science or advanced analytics, preferably in a manufacturing context.
 </li>
 <li>
 Proficiency in Python, R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow).
 </li>
 <li>
 Experience with data visualization tools such as Power BI, Tableau, or matplotlib.
 </li>
 <li>
 Strong understanding of statistical analysis, predictive modeling, and data wrangling.
 </li>
 <li>
 Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data technologies.
 </li>
 <li>
 Excellent problem-solving and communication skills.
 </li>
 <li>
 Experience with Agile/Scrum methodologies is a plus.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Love About Working Here
 
 
 
 <ul>
 <li>
 Flexible Work Arrangements&mdash;Work remotely or adjust work hours for a balanced lifestyle.
 </li>
 <li>
 Career Growth Opportunities&mdash;Access diverse roles and career development programs.
 </li>
 <li>
 Training &amp; Certifications&mdash;Equip yourself with valuable certifications in emerging technologies.
 
 
 </li>
 </ul>
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
</div>

Data Scientist

Al-Futtaim Automotive

<div>
 
 Job Requisition ID:
 
 171746
 
 
 Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.
 
 
 By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day
 
 
 
 Overview of the role:
 
 
 
 Al Futtaim is looking for a Senior Data Scientist to join our team in Dubai, part of a team sitting at the cornerstone of algorithms, mathematics and engineering, a team that is tasked with solving problems by designing and implementing production-ready data science algorithms and machine learning models to manage Risk and help Al Futtaim maintain the advantage in the market.
 
 
 
 What you will do:
 
 
 
 <ul>
 <li>
 Responsible for the development of the predictive and forecasting models (RV, Equity Mining, SMR, etc.)
 </li>
 <li>
 Responsible for the full model cycle from experimentation to deployment (ML-Flow), model calibrations to accommodate any drifts and define the post modeling adjustments (PMA) to optimize performance.
 </li>
 <li>
 Responsible of the Regional and International Asset Risk Monitoring.
 </li>
 <li>
 Calculate RV Provisions, identify hand-backs as well as their rates, and quantify features impact.
 </li>
 <li>
 Conduct statistical and quantitative analyses to identify and quantify potential risks. Prepare RV Risk recommendations highlighting the risks and proposing mitigations
 </li>
 <li>
 Design and develop risk measures, methodologies, and models (RV &amp; SMR Risk)
 </li>
 <li>
 Define the pull-forward (or backward) strategy to optimize the trade cycle.
 </li>
 <li>
 Quantify the features importance in Time-to-fail and Mileage-to-fail
 </li>
 <li>
 Develop other predictive and analytical models using the appropriate methodologies
 </li>
 <li>
 Recommending actions based on your insights by effectively telling the story that is supported by data through presentations, data visualizations and clear and concise verbal and written communication skills
 </li>
 <li>
 Building relationships with key stakeholders across Al Futtaim such as IT, Finance, Remarketing, Sales etc.
 </li>
 <li>
 Coordinating with various stakeholders to help implement recommended actions
 </li>
 <li>
 Guiding/mentoring other data scientists/analysts on best practices for analysis and data storytelling
 </li>
 <li>
 Planning, organizing and time management: must be capable of developing related operational plans as well as detailed project level plans. Must display sound independent time management skills by delivering activity within prescribed timeframes through the effective prioritization of actions across multiple operations and projects
 </li>
 <li>
 Communication: must possess good written and verbal communication skills and be able to effectively communicate with and present to both internal and external stakeholders across all business levels.
 </li>
 <li>
 Teamwork: must be an excellent team player, able to establish strong working relationships with stakeholders, colleagues, and business partners.
 
 
 </li>
 </ul>
 
 Required Skills to be successful:
 
 
 
 <ul>
 <li>
 5 years&rsquo; experience in banking or financial services, specializing in data analytics and business intelligence.
 </li>
 <li>
 Strong knowledge of statistics, with hands-on expertise in Python and SQL for data modeling, automation, and reporting.
 </li>
 <li>
 Proven track record in delivery of analytics use cases such as credit risk modeling, fraud detection, customer segmentation, and compliance reporting.
 
 
 </li>
 </ul>
 
 About the Team:
 
 
 
 <ul>
 <li>
 You will be reporting to Head of Data Science &amp; Asset Risk
 
 
 </li>
 </ul>
 
 What equips you for the role:
 
 
 
 <ul>
 <li>
 5+ years of experience in financial services. Preferably in the Automotive or Captive Finance industries.
 </li>
 <li>
 5+ years of hands-on experience in Data Science (Machine Learning, NLP, Neural Nets, Time-Series Forecasting, etc.). Supervised and un-supervised learning methods for inference on data patterns.
 </li>
 <li>
 Strong statistics knowledge and quantitative problem-solving skills
 </li>
 <li>
 Proficiency with open-source ML frameworks (scikit-learn, tensorflow, RF, xgboost, MLFlow etc.)
 </li>
 <li>
 Excellent Python, R and SQL programming skills. Familiarity with Azure Databricks is a plus.
 </li>
 <li>
 Advanced level of MS-Office required. Data visualization tools Power BI, Tableau or Qlik is preferred
 </li>
 <li>
 BSc or MSc degree in Statistics, Mathematics, Actuarial, Engineering, or a closely related discipline.
 </li>
 <li>
 Full proficiency in English (mandatory)
 
 
 </li>
 </ul>
 
 About Al-Futtaim Automotive
 
 
 
 A major division of the UAE-based Al-Futtaim Group of companies,
 
 Al-Futtaim Automotive
 
 is an industry leader with presence in 10 countries across the Middle East, Asia and Africa.
 
 
 Our core business activities at Al-Futtaim Automotive include distribution, manufacturing, leasing and aftersales, and we are firmly established as the regional representative of some of the world&rsquo;s most iconic automotive brands: Toyota, Lexus, Honda, Jeep, Chrysler, Dodge, Volvo and RAM.
 
 
 We are driven by a customer-centric approach, constantly pushing the boundaries on innovation, quality standards, and value-added service across our vast universe of customers - right from motoring enthusiasts to fleet operators to contractors. Our mission is to become the leader in custom-made mobility solutions by delivering nothing less than world-class omni-channel experiences.
 
 
 We channel our local expertise and global trust to deliver one of the most comprehensive portfolios of mobility products and solutions, from passenger cars to SUVs, electric vehicles to high-performance motorbikes, commercial vehicles to industrial &amp; construction equipment.
 
 
 What keeps the company moving forward is a 9000-member strong team, with inspiring possibilities for growth, throughout the career path.
 
 This is Al-Futtaim Automotive and we empower talent to move forward.
 
</div>

Senior Data Scientist | Hamad & Mohd AlFuttaim DX | Automotive

Explore 1210+ Machine learning engineer in Dubai this September. Find roles across top companies and apply now to boost your career.

1210 machine learning engineer jobs IN Dubai

Machine Learning Engineer (Contract - For Immediate Hire)

Knowledge Engineer

Generative AI Engineer

Senior Data Scientist - Machine Learning

Senior Data Scientist - Machine Learning

Data Scientist

Senior Data Scientist | Hamad & Mohd AlFuttaim DX | Automotive