Data Scientist Jobs

Hyderabad, India / Dubai, UAE Full-time Apply to Job About The Role We are looking for a highly motivated Machine Learning Engineer / Data Scientist to join our dynamic team. In this mid-level role, you will leverage your expertise in data science and machine learning to design, build, and deploy innovative models and solutions that address real-world challenges. You will collaborate with cross-functional teams, including data engineers, product managers, and software developers, to turn complex datasets into actionable insights and build machine learning solutions that drive business value. This is a fantastic opportunity to work on impactful projects, expand your skill set, and contribute to cutting-edge advancements in AI and data science. Key Responsibilities • Model Development: Design, train, and evaluate machine learning models to solve business problems such as classification, regression, clustering, and recommendation. • Data Preparation: Work with large and complex datasets, performing data cleaning, preprocessing, and feature engineering to optimize model performance. • Model Deployment: Deploy machine learning models into production environments, ensuring scalability and robustness. • Algorithm Selection: Research and implement state-of-the-art algorithms and methodologies to enhance model accuracy and efficiency. • Collaboration: Collaborate with data engineering teams to build data pipelines and ensure efficient data flow for machine learning workflows. • Visualization and Reporting: Create clear and actionable visualizations and reports to communicate findings and results to stakeholders. • Monitoring and Maintenance: Monitor model performance in production, address drift or bias issues, and optimize models as needed. • Tool Development: Build tools and frameworks to enable rapid experimentation and iteration of machine learning models. • Documentation: Maintain comprehensive documentation for models, experiments, and processes. Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field (or equivalent experience). Technical Skills • Strong programming skills in Python, R, or similar languages. • Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras. • Proficiency in data manipulation and analysis using tools like Pandas, NumPy, and SQL. • Experience with big data technologies such as Spark, Hadoop, or similar. • Knowledge of cloud platforms and services (e.g., AWS SageMaker, Google AI Platform, Azure ML). • Familiarity with MLOps practices and tools for CI/CD in machine learning workflows. • Understanding of data visualization tools like Matplotlib, Seaborn, or Tableau. • Strong grasp of statistical methods, probability, and optimization techniques. Experience • 3–5 years of experience in machine learning, data science, or a related field. • Proven experience building and deploying machine learning models in production. • Experience with natural language processing (NLP), computer vision, or time-series analysis is a plus. Soft Skills • Strong problem-solving and analytical thinking abilities. • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. • Ability to work independently and collaboratively within a team. • Curiosity and eagerness to stay updated on the latest advancements in machine learning and AI. About The Company Datamaze is a dynamic company specializing in AI, Data, and Analytics consulting services. We are dedicated to transforming businesses by leveraging the power of data and artificial intelligence. With a team of industry experts in technology, business strategy, and data science, Datamaze offers a range of services including data strategy development, AI model creation, advanced analytics, and data visualization. Our approach is client-centric, focusing on creating customized solutions that address unique business challenges and objectives. The team, comprising data scientists, AI experts, strategists, and engineers, is committed to continuous learning and innovation. Datamaze positions itself as a trusted partner for businesses looking to navigate the complex data and AI landscape, aiming to optimize operations, inform decision-making, and maintain a competitive edge. Apply Now

# Head of Technical Customer Solutions Manager, EMEA (United Arab Emirates) DubaiAbbottDubai, AEPosted 6/13/2026### AI Match ScoreBased on your profile & preferences0%Looking for a **Head of Technical Customer Solutions Manager, EMEA (United Arab Emirates) Dubai** role in **Dubai, AE**? This position at **Abbott** is an excellent opportunity for professionals looking to advance their career. Browse the full job description below to see if you're a match and add it to your board.### Job DescriptionResponsibilitiesLead end-to-end technical service operations and business performance for the Pima and m-Pima franchise across Africa. Drive revenue growth and operational excellence through data-driven insights, demand generation, and the management of technical service teams and distributors.RequirementsRequires a Bachelor’s degree in Engineering, Computer Science, or Clinical Laboratory Science, with an MBA preferred. Candidates must have over 10 years of experience in technical service leadership within the diagnostics or med-tech industry.Job SummaryJOB DESCRIPTION: About Abbott Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. We’re always looking towards the future, anticipating changes in medical science and technology. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You will have access to: · Career development with an international company where you can grow the career you dream of . · A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune. · A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. Head of Technical Customer Solutions Manager, EMEA This position works out of our UAE location in the Abbott Rapid Diagnostics – Infectious Diseases. About Abbott Rapid Diagnostics Division We are the world leader in Rapid Diagnostics at the point of care. Working with us, you’ll tackle a wide array of problems including some of the world’s greatest healthcare challenges, while experiencing a myriad of cultures, geographies, and technologies. The Head of Technical Customer Solutions Manager, EMEA is responsible for owning the end-to-end technical service operations and performance of the Pima and m-Pima franchise across Africa, with a strong focus on driving demand generation, enabling commercial excellence, and embedding a data-driven operating model. The Technical Customer Solutions Manager is accountable for scaling revenue growth, optimizing service operations, and strengthening analytical capabilities to support commercial teams, investment decisions, and long-term profitability. What You’ll Do- Business & Commercial Leadership Own end-to-end business operations for the Pima & m-Pima franchise, including field strategy, demand generation enablement, and execution to grow revenue and improve margins. Lead the Abbott Rapid Diagnostics Advanced HIV care instrument business (~$20MM), ensuring sales growth, margin delivery, and operational KPIs are achieved in alignment with commercial priorities. Partner closely with Regional Directors, GMs, and commercial leaders to translate demand signals, pipeline insights, and market data into actionable growth strategies. Drive pricing and margin management, leveraging market intelligence and financial analysis to identify sustainable margin expansion opportunities. Demand Generation & Market Insight Strengthen demand generation efforts by partnering with commercial team Analyze market trends, funding flows, competitive dynamics, and customer behavior. Support commercial teams with data-driven insights on instrument utilization, growth white spaces, and customer prioritization. Work with regional marketing teams to ensure clear value propositions, targeted campaigns, and effective in-field execution that accelerate instrument placement and utilization. Build systems and governance to monitor funnel performance across placements, utilization, service attachment, and lifecycle value. Data, Analytics & Business Intelligence Develop and institutionalize business performance dashboards and analytical tools to track sales, service performance, asset utilization Apply advanced analytical thinking to identify performance gaps, root causes, and optimization opportunities across commercial and service operations. Provide clear, structured insights and recommendations to senior leadership using data-backed narratives. Bring rigor and transparency to Integrated Business Planning (IBP) through fact-based decision-making, scenario analysis, and performance forecasting. Service & Operations Excellence Lead technical services teams across Africa, ensuring world-class instrument training, maintenance, repair execution, and continuous performance improvement. Accountable for end-to-end service process optimization, including capacity planning and workflow efficiency across repair centers and field service operations. Own governance frameworks and operating standards for escalation management and service excellence. Partner closely with the legal manufacturer to align on systems, processes, and SOPs, ensuring consistency and compliance across the service network. Lead distributor engagement for repairs and technical services, including spare parts and inventory management. Drive distributor accountability against defined instrument repair, uptime, and utilization KPIs. Manage instrument and service contracts, implementing robust asset tracking and full lifecycle management capabilities. Ensure structured “Hyper-Care” support for new placements to accelerate adoption, maximize uptime, and improve customer satisfaction. Ensure all activities are executed in compliance with quality systems, regulatory requirements, and financial ethics policies. Leadership & Stakeholder Engagement Build, develop, and retain a high-performing, analytically capable technical services organization. Foster a performance culture grounded in accountability, continuous improvement, and data-driven decision-making. Maintain strong relationships with Ministries of Health, distributors, strategic partners, and key customers to drive satisfaction, retention, and long-term growth. Education Required: Bachelor’s degree in Engineering, Biomedical engineering, Computer Science, Clinical Laboratory Science, or equivalent. MBA or advanced business qualification preferred. Minimum Experience /Knowledge/Skills Required: Required Qualifications & Experience: 10+ years of technical service experience with leadership, PMO, or similar cross-functional management experience. Minimum 10 years of industry experience (diagnostics, med-tech, or complex service-based environments). Demonstrated success in data-driven decision-making, performance analysis, and commercial support. Strong experience leading teams delivering complex, multi-country initiatives. Proven ability to translate analytical insights into practical commercial and operational actions. Fluent English required; additional languages advantageous. Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at on Facebook at and on Twitter @AbbottNews and @AbbottGlobal. The base pay for this position is N/A In specific locations, the pay range may vary from the range posted. JOB FAMILY: Sales Force DIVISION: ID Infectious Disease LOCATION: United Arab Emirates > Dubai : Ubora Tower2 ADDITIONAL LOCATIONS: WORK SHIFT: Standard TRAVEL: Not specified MEDICAL SURVEILLANCE: Not Applicable SIGNIFICANT WORK ACTIVITIES: Not Applicable Abbott is about the power of health. For more than 135 years, Abbott has been helping people reach their potential — because better health allows people and communities to achieve more. With a diverse, global network serving customers in more than 160 countries, we create new solutions — across the spectrum of health, around the world, for all stages of life. Whether it’s next-generation diagnostics, life-changing devices, science-based nutrition, or novel reformulations, we are advancing some of the most innovative and revolutionary technologies in healthcare, helping people live their best lives through better health. The people of Abbott come to work each day with relentless energy, enthusiasm and a promise to enhance the health and well-being of millions of people. They push the boundaries to help manage and treat some of life’s greatest health challenges. We invite you to explore opportunities at Abbott, to see if your talents and career aspirations may fit with our openings. An equal opportunity employer, Abbott welcomes and encourages diversity in our workforce. Follow Us: Facebook LinkedIn YouTube Twitter #J-18808-Ljbffr

Key Responsibilities 1. Agent Orchestration & System Architecture Agentic Frameworks: Architect the orchestration layer (Agent of Agents) that coordinates specialized AI workers (e.g., Controllership Agent, Treasury Agent), managing state, task routing, and error handling. Workflow Logic: Design the "Task Router & Intent Classifier" services that map user prompts to specific skills/playbooks, ensuring deterministic execution of critical financial and engineering workflows. Microservices Design: Build scalable, containerized microservices that handle high-concurrency requests for the LeverEDGE platform, ensuring low-latency responses for real-time market intelligence and design trade-off analysis. 2. Enterprise Integration & API Gateways Secure SAP Connectivity: Build the "Data Access Layer" (DAL) that serves as the secure gateway for AI agents to read/write to SAP S/4HANA and Ariba, enforcing strict validation logic before any transaction is committed. Scalable Data Lakehouse connectivity: Build a scalable, secure, observable connection layer to the central data platform ensuring all read transactions are authenticated, authorized, and properly audited. RAG Integration: Develop the backend logic to interface with Vector Databases (e.g., Weaviate) and Retrieval Models, enabling the "Knowledge Mining Chatbot" tosecurely query historical proposals and technical documents. External API Managers: Construct robust connectors for external data feeds (e.g., S&P Global, Orbis) to power the Supply Chain Risk Scoring engines or LeverEDGE component comparative analysis, handling rate limiting, caching, and data normalization. 3. Security, Performance & Deployment Defense-Grade Security: Implement "Gateway & Policy Guard" services that enforce Authentication, Role-Based Access Control (RBAC), and PII/ITAR redaction before data ever reaches an LLM. On-Premise Optimization: Engineer systems for strictly air-gapped or on-premise deployment, optimizing for efficient resource usage on local GPU clusters rather than infinite cloud scaling. Reliability Engineering: Implement comprehensive logging, tracing, monitoring, and observability mechanisms adhering to EDGE policies ensuring enterprise best practices are followed Technical Requirements Core Languages: Expert proficiency in Python (FastAPI/Django) for AI integration and Go or Java for high-performance microservices. Containerization & Orchestration: Deep experience with Docker and Kubernetes (k8s) for deploying scalable applications in on-premise environments. API Architecture: Strong background in designing RESTful APIs and gRPC services. Experience building API Gateways (e.g., Kong, NGINX) for traffic management and security. Database Management: Proficiency with Relational Databases (PostgreSQL) for transactional data and Vector Databases (Weaviate, Milvus) for semantic search applications. Integration Protocols: Familiarity with enterprise integration patterns and ERP protocols (OData, SOAP) is a strong plus. Professional Qualifications Experience: 5+ years of experience in Backend Engineering, with a focus on building distributed systems or platforms that serve ML/AI models in production. Collaboration: Proven track record of working with Data Scientists to productize models and Frontend Engineers to deliver seamless user experiences. 5+ years of experience in Backend Engineering, with a focus on building distributed systems or platforms that serve ML/AI models in production.Proven track record of working with Data Scientists to productize models and Frontend Engineers to deliver seamless user experiences.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Managing Consultant, AI Subject Matter Expert - Advisors & Consulting Services Managing Consultant – Strategy & Transformation – AI Specialist Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Strategy & Transformation consultants lead clients through impactful decision-making as they tackle strategic, tactical, operational, and transformational business challenges. They apply a broad set of problem-solving techniques to improve the client’s overall strategy, performance, and operations. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard We are seeking an experienced Consulting Project Manager with deep, hands-on expertise in Generative AI and Agentic AI systems to lead end-to-end delivery of AI transformation initiatives for clients. This role sits at the intersection of AI engineering, product thinking, and consulting delivery—owning outcomes from use-case definition through production deployment. The ideal candidate has personally built, tested, and deployed LLM-powered solutions, understands modern agent frameworks, and can credibly engage both C-suite stakeholders and engineering teams Key Responsibilities Lead client engagements focused on Gen AI and agentic AI solutions, from discovery and architecture through delivery and scale Translate business problems into LLM-driven and agent-based solutions (e.g., autonomous workflows, AI copilots, decision agents) Act as a hands-on delivery lead, reviewing prompts, agent logic, RAG pipelines, evaluation metrics, and deployment approaches Manage multi-disciplinary teams (AI engineers, data scientists, cloud engineers, UX) using agile delivery models Own client communication, roadmap definition, risk management, and value realization Ensure solutions meet security, governance, compliance, and responsible AI standards Support pre-sales by contributing to proposals, solution design, and client workshops Required Experience & Skills AI & Technical (Hands-On – Mandatory) Strong, practical experience working with LLMs, such as:Open AI / Azure Open AI, Anthropic, Gemini, or open-source models (LLaMA, Mistral, etc.) Hands-on experience with:Prompt engineering and prompt optimization RAG architectures (vector databases, embeddings, retrieval strategies) Agentic frameworks (e.g., Lang Graph, Auto Gen, Crew AI, Semantic Kernel, custom agent orchestration) Experience building and deploying multi-agent or tool-using systems (function calling, APIs, workflows) Familiarity with LLM evaluation, observability, latency/cost optimization, and hallucination mitigation Working knowledge of cloud AI stacks (Azure, AWS, or GCP) and modern MLOps / LLMOps practices Consulting & Delivery 8–12+ years of experience in consulting, digital transformation, or AI delivery roles Proven track record managing complex client engagements with senior stakeholders Strong ability to bridge business strategy and technical execution Experience delivering AI solutions in banking, retail, telecom, or regulated industries is a strong plus Preferred Qualifications Background as an AI engineer, data scientist, or solution architect before moving into project/program leadership Experience defining AI operating models and scaling Gen AI across an enterprise Exposure to agentic commerce, autonomous decisioning, or AI-driven operations Certifications in cloud platforms or AI/ML (nice to have, not mandatory) What Success Looks Like Clients trust you as a credible AI practitioner, not just a project manager AI solutions move from POC to production, delivering measurable business value Teams ship robust, scalable agentic systems, not demos You help shape the firm’s AI consulting offerings and delivery standards Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices;Ensure the confidentiality and integrity of the information being accessed;Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Who we are: GMG is a global well-being company retailing, distributing and manufacturing a portfolio of leading international and home-grown brands across sport, everyday goods, health and beauty, properties and logistics sectors. Under the ownership and management of the Baker family for over 45 years, GMG is a valued partner of choice for the world's most successful and respected brands in the well-being sector. Working across the Middle East, North Africa, and Asia, GMG has introduced more than 120 brands across 12 countries. These include notable home-grown brands such as Sun & Sand Sports, Dropkick, Supercare Pharmacy, Farm Fresh, Klassic, and international brands like Nike, Columbia, Converse, Timberland, Vans, Mama Sita's, and McCain. Role Summary: We are seeking a visionary Director of Data and Intelligence to lead our data strategy, analytics, and business intelligence initiatives in a fast-paced retail environment. This role will drive data-driven decision-making across the organization by leveraging advanced analytics, AI/ML, and business intelligence tools. The ideal candidate will have a deep understanding of retail operations, customer behavior, supply chain, and merchandising, combined with strong technical expertise in data platforms, AI, and predictive modeling. As a key leader within the Technology team, you will collaborate with executive leadership, merchandising, marketing, supply chain, and store operations to unlock insights that enhance customer experience, optimize operations, and drive revenue growth. Responsibilities: Data Strategy & Leadership • Define and execute the enterprise-wide data and intelligence strategy, ensuring alignment with business goals. • Lead team to create policy and guardrails for safe usage of AI at GMG • Lead a high-performing team of data scientists, engineers, and analysts to deliver actionable insights. • Partner with the senior leadership to integrate data-driven decision-making into all aspects of the retail business. • Champion a data-first culture, ensuring data governance, quality, and security best practices. Business & Retail Analytics • Develop advanced predictive and prescriptive analytics to optimize pricing, inventory, demand forecasting, and customer personalization. • Leverage AI/ML models to enhance customer segmentation, recommendation engines, and loyalty programs. • Provide insights into omnichannel retail performance, including e-commerce, in-store, and mobile commerce. • Analyze market trends, competitive intelligence, and customer behaviour to identify growth opportunities. Technology & Data Infrastructure • Oversee the selection, implementation, and optimization of data platforms (e.g., cloud data warehouses, BI tools, CDPs). • Drive the adoption of modern data stack (ETL, data lakes, real-time analytics) to enable scalable insights. • Ensure seamless integration of data across POS, CRM, ERP, and supply chain systems. • Evaluate and implement AI/ML solutions to automate and enhance retail operations. Stakeholder Collaboration • Partner with Marketing to optimize customer acquisition, retention, and personalized campaigns. • Work with Merchandising & Supply Chain to improve demand forecasting and inventory efficiency. • Support Store Operations with workforce analytics and performance optimization. • Collaborate with IT & Engineering to ensure scalable and secure data architecture. People Management The incumbent holds no direct supervisory responsibilities but is expected to engage effectively within their function and collaboratively across cross-functional teams. This role contributes meaningfully, whether through operational contributions and/or by offering specialized expertise, guidance, and support, to ensure alignment with either functional and/or strategic organizational goals and objectives. Technical Competencies: • Strategic thinking and data leadership • Advanced analytics and predictive modeling • Data architecture and infrastructure design • AI/ML model deployment in a retail setting • Business intelligence and reporting (Power BI, Tableau) • Cloud data platforms (AWS, Azure, GCP), Languages SQL, Python, R • Excellent stakeholder management and communication • Strong program and team management Experience: • 15+ years of experience in data science, analytics, or business intelligence, with at least 5 years in a leadership role. • Deep retail industry expertise (e.g., merchandising, supply chain, e-commerce, customer analytics). Expertise in developing AI Data, experience in handling enterprise -scale data systems. • Proven track record of building scalable data platforms and deploying predictive analytics in retail. • Experience with cloud platforms (AWS, Azure, GCP) and real-time data processing.

Position: Staff Data Scientist: Personalization & AI Transformation Careem in Dubai is seeking an experienced Data Scientist to lead AI transformation within our app, focusing on personalization. The ideal candidate has over 10 years of experience in data mining and machine learning, alongside an advanced degree in a quantitative field. You will work with cutting-edge technologies to optimize user engagement strategies and drive data-informed decision-making. Your expertise in deep learning and coding skills will be critical in implementing scalable machine learning algorithms to enhance our services. #J-18808-Ljbffr

Pega CDH – Lead System Architect 10-14 years of experience in Pega and 8-10 years of experience in Pega CDH The candidates will act as a CDH SME for Pega Platform perspective preferably in banking and financial services. Pega CSSA Certification and Pega Decisioning Consultant Experience in Pega CDH 8.X or higher versions and NBAD framework. Proven track record of delivering hyper-personalized solutions using NBA strategies across inbound and outbound channels in both batch and real-time mode Hands‑on experience with Pega CDH components like ADM, DSM, Value Finder, Customer Profiler, etc. Proficiency in SQL, JSON, real‑time decisioning, and object‑oriented programming principles. Translate business requirements into decisioning logic, including Next‑Best‑Action (NBA) strategies, engagement policies, and offer flows. Design and configure core decisioning logic using Pega CDH, including rules, propositions, treatments, and decision data flows. Provide thought leadership and technical guidance to teams on Pega decisioning best practices. Lead the development and configuration of Adaptive Decision Manager (ADM), interaction history, decision strategy management and other Pega CDH components. Ensure seamless integration of decisioning frameworks with enterprise systems like CRM and data lakes. Conduct peer reviews and manage quality assurance processes for decisioning logic. Collaborate with data scientists to analyse customer interactions and optimise adaptive models. Manage the end‑to‑end delivery of Pega CDH solutions in Agile environments. Create post‑implementation support documentation and resolve production defects. Monitor application performance to ensure scalability and efficiency. Implement governance standards for architecture, data privacy, and security compliance. Mentor and lead a team of Pega NBA Designers or developers. Coordinate tasks such as proposition builds, customer data flow updates, and interaction updates. Good understanding and experience in Client Server applications, Digital applications, and Business Functions. Designing and implementing REST API, Kafka and FTP based integrations. Strong analytical skills with the ability to summarise data into actionable insights. Excellent communication skills to interact with both technical and non‑technical stakeholders. Designing in alignment with Clients Business objective. Good to have skills: • Pega Lead system architect. • Knowledge in externalisation of Cassandra, KAFKA, Elastic search. • Familiarity with DevOps practices such as CI/CD pipelines for deployment automation. • Knowledge of emerging trends in marketing automation and hyper‑personalisation. #J-18808-Ljbffr

Job Description About Revolut People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 75 million customers get more from their money every day. As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, weve been certified as a Great Place to Work™. So far, we have 13,000 people working around the world, from our offices and remotely, to help us achieve our mission. And were looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution. About The Role This role offers the opportunity to relocate to Spain, the UAE, or the UK. Youll receive support from Revolut throughout the entire process. Once you move, youll have the flexibility to work remotely or hybrid from an office in either Barcelona, Madrid, Dubai, or London. Design at Revolut is all about balancing that sense of creativity with a deep attention to detail. Our customers have come to expect a certain level of look and feel from our products, and its up to us to keep pushing their expectations higher. Were looking for a Product Designer to lead the design process from discovery to delivery, always keeping in mind our customers and their interests to build features they love. Up to shape whats next in finance? Lets get in touch. What Youll Be Doing • Partnering with Product Owners, Engineers, Data Scientists, etc. to define customers and business needs • Identifying key metrics for projects and taking ownership for achieving their success • Researching and bringing forward new findings and learnings to reach company goals, such as launching in new territories and offering new features • Designing products that solve problems in a simple and elegant way while taking care of every detail, from wire-framing to designing end-to-end flows and prototypes • Running guerrilla and customer testing workshops • Implementing solutions with the Technology team, and presenting actions during design reviews • Reviewing release performance, identifying learnings, and finding ways to enhance it What Youll Need • 4 years of experience designing world-class commercial apps in-house • A portfolio featuring examples of product design work • Impressive design skills across iOS, Android, and web platforms • The ability to think at a high level about product strategy and articulate design decisions • Knowledge of technical implications in design decisions • The ability to take ownership of design processes and work independently • High UX focus and an understanding of customer behaviour • Clean visual design sense • Skills in typography and grids • A love for problem-solving Nice to have • A bachelors or masters degree in computer science or related technical field • Familiarity with programming and the ability to code simple prototypes • Expertise in designing and maintaining cross-platform design systems • Experience working in fast-paced, startup environments Building a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. Were not just doing this because its the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team. Important Notice For Candidates Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles. • Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment. • Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain. We wont ask for payment or personal financial information during the hiring proces

Open Data Science приглашает кандидатов на позицию Junior+ Data Scientist в Дубае. Ваша роль будет заключаться в анализе трейдинговых алгоритмов, разработке статистических и ML-моделей для рыночных прогнозов и работе с большими объемами данных. Мы ожидаем наличие высшего образования по STEM специальности и опыта программирования. Предлагаем конкурентную зарплату, карьерный рост под руководством ментора, а также помощь с релокацией и оформлением визы. #J-18808-Ljbffr

About the role We're looking for a data engineer who's passionate about building reliable, scalable, and cost-efficient data systems. You'll work with a modern stack including Kafka, Google Cloud Platform (GCP), and AWS to design and maintain the pipelines that power analytics, machine learning, and product insights. Ideal role for someone with solid foundational skills in data engineering who's ready to deepen their expertise, take ownership of workflows, and collaborate across teams. If you don't know every tool in our stack yet, that's okay. We value curiosity, problem-solving, and a willingness to learn just as much as existing technical skills. What's on your plate • Design, build, and maintain data pipelines and workflows for batch and streaming use cases. • Work with Kafka to manage real-time data ingestion and event-driven architectures. • Leverage GCP and AWS services for storage, processing, and orchestration (e.g. BigQuery, Dataflow, S3, Lambda). • Orchestrate workflows using tools like Airflow or similar schedulers. • Ensure data quality and reliability through monitoring, alerting, and automated validation. • Collaborate with analysts, data scientists, and product teams to understand requirements and deliver data solutions that drive business impact. • Optimize for cost and performance across cloud environments. • Participate in code reviews, documentation, and knowledge sharing to raise the bar for the team. Our tech stack • Data ingestion & streaming: Apache Kafka, Kafka Connect • Cloud platforms: Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage), AWS (S3, Lambda, Glue) • Workflow orchestration: Apache Airflow • Programming languages: Python, SQL (bonus: Java/Scala) • Infrastructure & DevOps: Terraform, CI/CD pipelines, Docker • Monitoring & observability: Grafana, Prometheus, Cloud-native tools Qualifications What did we order? What we're looking for • Experience (1-3 years) in data engineering, software engineering, or a related field. • Proficiency in SQL and at least one programming language (Python preferred). • Understanding of data modeling, ETL/ELT concepts, and cloud-based data warehouses. • Familiarity with streaming platforms (Kafka, Kinesis, or similar). • Comfort working in cloud environments (GCP, AWS, or Azure). • Strong communication skills; able to explain technical concepts to non-technical audiences. • Growth mindset; eager to learn, adapt, and take on new challenges. Nice-to-have (but not required and willing to learn) • Experience with infrastructure-as-code (Terraform, CloudFormation). • Exposure to containerization (Docker, Kubernetes). • Knowledge of data governance, security, and compliance best practices. Additional information Why you'll love working here • Impact: Your work will directly influence how data powers decisions across the company. • Learning culture: We invest in your growth—from mentorship to training budgets. • Modern stack: Work with cutting-edge tools and cloud platforms. • Collaboration: Partner with talented engineers, analysts, and product managers. • Flexibility: We care about outcomes, not where you work from. Our hiring philosophy We know that a great data engineer isn't defined by checking every box. If you're excited about data engineering, have a solid foundation, and are eager to grow, we want to hear from you. Remote work No Employment type Full-time Experience 1-3 years Vacancy 1