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Maaden

<div>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 <strong>
  JOB DESCRIPTION
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   The Lead Specialist, Data Science &amp; Analytics, acts as a technical leader and senior practitioner, driving development, deployment, and scaling of Machine Learning, AI, and advanced analytics solutions across Maaden.
  </li>
  <li>
   The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.
  </li>
  <li>
   Lead Specialist, Data Science &amp; Analytics is to analyze data, extract insights, and build predictive models that help organizations make smarter decisions and solve difficult problems. By blending expertise in statistics, computer science, and business strategy, they not only analyze complex datasets but also build predictive models that improve operations and shape long-term decisions. With nearly every industry leaning on data today, the demand for skilled professionals continues to grow
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   <br/>
  </li>
 </ul>
 <strong>
  Key Accountabilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead End-to-End Data Science Delivery
  </li>
  <li>
   Developing, implementing and maintaining databases and data collection systems
  </li>
  <li>
   Own the full lifecycle of ML/AI initiatives - from problem framing, data exploration, feature engineering, model development, validation, and MLOps handover.
  </li>
  <li>
   Deliver scalable and production-grade models, ensuring alignment with enterprise data governance and AI standards.
  </li>
  <li>
   Performing statistical analysis to understand and interpret data insights
  </li>
  <li>
   Applying data mining techniques to identify patterns, trends, and relationships in large datasets
  </li>
  <li>
   Building predictive models and machine learning algorithms to forecast future outcomes
  </li>
  <li>
   Creating clear data visualizations and reports to communicate findings to stakeholders
  </li>
  <li>
   Working with cross-functional teams to understand business needs and provide data-driven solutions
  </li>
  <li>
   Design and maintain reliable data pipelines and models in partnership with data engineering to ensure data is accurate, timely, and trustworthy for downstream use
  </li>
  <li>
   Ensuring data security and compliance with relevant regulations
  </li>
  <li>
   Drive experimentation, model versioning, automated retraining, and continuous improvement.
  </li>
  <li>
   Translate Business Needs into AI/Analytics Solutions
  </li>
  <li>
   Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions
  </li>
  <li>
   Engage BU/domain stakeholders to identify value creation opportunities and convert them into actionable analytics use cases.
  </li>
  <li>
   Build value hypotheses, KPIs, success criteria, and solution roadmaps in collaboration with Data &amp; AI leadership and business teams.
  </li>
  <li>
   Industrialize AI/ML Models (ML Ops &amp; Architecture)
  </li>
  <li>
   Partner with data engineering, data platforms, and cloud/OT architecture teams to embed models into enterprise systems and operational layers.
  </li>
  <li>
   Set standards for production deployment, testing, monitoring, drift handling, and lifecycle governance.
  </li>
  <li>
   Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins
  </li>
  <li>
   Leverage machine learning, optimization, and computer vision as enabling tools for performance, reliability, and sustainability improvements
  </li>
  <li>
   Responsible AI, Quality &amp; Governance
  </li>
  <li>
   Ensure compliance with Maaden&rsquo;s Responsible AI, data quality, and data governance frameworks.
  </li>
  <li>
   Promote reproducibility, documentation, lineage tracking, and auditability across all data science assets.
  </li>
  <li>
   Ensure transparency, explainability, and continuous model governance across production and enterprise environments
  </li>
  <li>
   Stakeholder Management &amp; Value Realization
  </li>
  <li>
   Communicate insights, results, risks, and recommendations to decision-makers using compelling narratives and visualization.
  </li>
  <li>
   Track value realization, adoption metrics, and operational impact to ensure measurable benefit.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Minimum Qualification, Experience and Core Competencies:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Experience
  <br/>
  <br/>
 </strong>
 Good to Have Capabilities
 <br/>
 <br/>
 <ul>
  <li>
   Minimum Experience:
  </li>
  <li>
   6+ years&rsquo; experience in Data Science / Advanced Analytics with industrial, mining, or heavy-asset environments preferred. Including at least 2 years leading or mentoring analytics professionals
  </li>
  <li>
   Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
  </li>
  <li>
   Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS) &ndash; Microsoft AI Factory
  </li>
  <li>
   Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.
  </li>
  <li>
   Machine Learning &amp; Advanced Analytics
  </li>
  <ul>
   <li>
    Hands-on experience developing and deploying machine learning models, including time-series forecasting, predictive modeling, and optimization use cases
   </li>
   <li>
    Strong understanding of model performance, validation, stability, and business impact
   </li>
  </ul>
  <li>
   Generative AI &amp; AI Agents
  </li>
  <ul>
   <li>
    Practical experience with Generative AI solutions, including copilots, intelligent automation, and agent-based workflows
   </li>
   <li>
    Ability to embed GenAI capabilities into enterprise processes to improve decision-making and operational efficiency
    <br/>
    <br/>
   </li>
  </ul>
 </ul>
 Preferred Experience &amp; Platforms
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 <br/>
 <ul>
  <li>
   Data Engineering (IT + OT)
  </li>
  <li>
   Experience designing and maintaining data pipelines across IT and OT environments
  </li>
  <li>
   Exposure to sensor data, streaming / real-time data processing, and industrial data sources
  </li>
  <li>
   Ability to collaborate with data engineering teams to ensure reliable, timely, and trusted data flows
  </li>
  <li>
   MLOps / AgentOps
  </li>
  <li>
   Experience in model deployment and lifecycle management, including:
  </li>
  <ul>
   <li>
    Transition from model development to production and scale
   </li>
   <li>
    Monitoring, retraining, versioning, and drift management
   </li>
  </ul>
  <li>
   Familiarity with automation and operationalization of ML/AI workloads
  </li>
 </ul>
 <ul>
  <li>
   Cloud &amp; Analytics Platforms
  </li>
  <li>
   Experience working with enterprise cloud platforms, preferably:
  </li>
  <ul>
   <li>
    Microsoft Azure Data Platform
   </li>
   <li>
    Databricks AI Platform
   </li>
   <li>
    Microsoft AI Foundry / Microsoft AI Factory
   </li>
  </ul>
  <li>
   Understanding of cloud-native architectures for scalable analytics and AI solutions
   <br/>
  </li>
 </ul>
 <strong>
  Core Competencies
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  <br/>
 </strong>
 <ul>
  <li>
   Model Accuracy &amp; Reliability: Performance, drift stability, and operational uptime.
  </li>
  <li>
   Adoption &amp; Business Impact: Value realized, user adoption, integration success.
  </li>
  <li>
   Delivery Velocity: Timeliness of development cycles and deployment readiness.
  </li>
  <li>
   Compliance &amp; Quality: Alignment with Responsible AI, governance, and documentation standards.
  </li>
 </ul>
</div>


Lead Specialist, Data Science & Analytics II

Yassir

<div>
 <strong>
  About Yassir
  <br/>
  <br/>
 </strong>
 Yassir is the Super App designed to make your life easier. Yassir&rsquo;s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency &amp; Trust, Quality, Performance. And we are growing fast - super fast.By choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Yassir is seeking a highly skilled and motivated Data Scientist, of any level, to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir&rsquo;s most critical problems
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   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   The AI team is part of Yassir&rsquo;s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what&rsquo;s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!
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   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Responsibilities
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  <br/>
 </strong>
 <ul>
  <li>
   Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it
  </li>
  <li>
   Some key areas we have to focus include: optimizing our Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing, optimizing our Dispatching capabilities, optimizing our Fraud Detection / Revenue Leakage Prevention capabilities, optimizing our Recommendations / Personalization capabilities, amongst others
  </li>
  <li>
   Identify and propose ML opportunities related to your scope and beyond
  </li>
  <li>
   Support with requirements definition and prioritization of ML projects
  </li>
  <li>
   Collaborate with cross-functional Engineering and Product teams
  </li>
  <li>
   Champion Data Quality as a critical input component to all ML solutions and Analytics
  </li>
  <li>
   Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering
  </li>
  <li>
   Utilize Statistical and ML techniques, as appropriate, for model training
  </li>
  <li>
   Validate and tune ML models
  </li>
  <li>
   Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights
  </li>
  <li>
   Deploy and test ML applications using our MLOps infrastructureMonitor ML models on their technical performance, business impact and underlying data / concept drift
  </li>
  <li>
   Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting
  </li>
  <li>
   Maintain and improve technical documentation of delivered solutions
  </li>
  <li>
   Support the Data &amp; AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams
  </li>
  <li>
   Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Requirements - Essential
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics
  </li>
  <li>
   Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience (more years of experience would be required for more Senior roles)
  </li>
  <li>
   Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices
  </li>
  <li>
   Comfortable with key Statistical concepts, such as statistical testing and causal analysis
  </li>
  <li>
   Analytical thinking and problem solving skills
  </li>
  <li>
   Engineering mindset focused towards delivering robust applied data science solutions
  </li>
  <li>
   Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling
  </li>
  <li>
   Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred
  </li>
  <li>
   Mastering of the end-to-end (ML) model development lifecycle
  </li>
  <li>
   Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English
  </li>
  <li>
   Positive attitude and resilience
  </li>
  <li>
   Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building
  </li>
  <li>
   Internal drive, self-motivation and ability to work independently including own effective project management
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   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with On-demand, Mobility or Financial Services companies
  </li>
  <li>
   Experience working on ML features for Digital Products (apps, websites)
  </li>
  <li>
   Experience with one or more from: Pricing / Economics related projects and/or modelling techniques (we welcome Economics / Econometrics backgrounds and experience), Fraud Detection related projects, Dispatching related projects, Personalization related projects
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Join the ride!
  <br/>
  <br/>
 </strong>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>


Mid/Senior - Data Scientist

Buro Happold

<div>
 <strong>
  Want to build the AI solutions that make smart cities truly intelligent? Your expertise might just make you our new AI &amp; Data Science Expert
  <br/>
  <br/>
 </strong>
 <strong>
  Here at Buro Happold, expect the exceptional.
  <br/>
  <br/>
 </strong>
 From the projects you will work on to the clients we work with. From career-defining opportunities to an inclusive and diverse practice where we all contribute to a more equitable world . From our reputation to our relationships. Wherever your Buro Happold career takes you, it&rsquo;ll be anything but ordinary.
 <br/>
 <br/>
 <strong>
  Your next role
  <br/>
  <br/>
 </strong>
 Buro Happold has a clear strategic plan, strong learning culture and entrepreneurial mindset that will allow you to thrive.
 <br/>
 <br/>
 You&rsquo;ll be part of something bigger than us all where sustainability, equity, social and performance outcomes matter. All of Buro Happold is committed to doing the right thing, even when that&rsquo;s the hardest thing. This is a genuine opportunity to make impact - and leave real legacy.
 <br/>
 <br/>
 <strong>
  Your key duties
  <br/>
  <br/>
 </strong>
 We are seeking an experienced AI &amp; Data Science Expert to design, build, and deploy advanced analytics and machine learning solutions that generate measurable value for the business. The role focuses on end to end ownership of use cases: from problem framing and data exploration, through model development and validation, to deployment, monitoring, and continuous improvement. The AI &amp; Data Science Expert will work closely with business stakeholders, product teams, and technology functions to translate complex data into actionable insights and scalable AI products.
 <br/>
 <br/>
 As a Senior Consultant specializing in AI and Data Science, you will take a leading role in designing, developing, and implementing advanced data-driven solutions. Your responsibilities will include:
 <br/>
 <br/>
 <ul>
  <li>
   Engage with stakeholders to understand business challenges and translate them into well defined AI and data science use cases.
  </li>
  <li>
   Collect, clean, and engineer data from multiple sources (structured and unstructured) to create robust feature sets for modelling.
  </li>
  <li>
   Develop, validate, and optimize machine learning and statistical models (e.g., classification, regression, forecasting, clustering, recommendation).
  </li>
  <li>
   Build and maintain production grade pipelines for model training, deployment, and monitoring in collaboration with data engineering and IT teams.
  </li>
  <li>
   Design and implement experiments, A/B tests, and performance evaluation frameworks to quantify model impact.
  </li>
  <li>
   Communicate findings and recommendations clearly through dashboards, visualisations, and presentations tailored to technical and non technical audiences.
  </li>
  <li>
   Contribute to the development of AI standards, best practices, and reusable components (feature stores, model templates, evaluation frameworks).
  </li>
  <li>
   Stay current with advances in AI/ML, data science tools, and MLOps practices, and assess their relevance for the organisation.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Skills And Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum 5 years of hands on experience in data science / machine learning roles, delivering production ready solutions.
  </li>
  <li>
   Solid experience with supervised and unsupervised learning techniques, model evaluation, feature engineering, and hyperparameter tuning.
  </li>
  <li>
   Practical experience working with SQL and relational databases; familiarity with big data or cloud data platforms is an advantage.
  </li>
  <li>
   Experience building end to end workflows from data ingestion to model deployment, ideally with exposure to MLOps tools and practices.
  </li>
  <li>
   Strong analytical and problem solving skills, with the ability to structure ambiguous problems and work with imperfect data.
  </li>
  <li>
   Proven ability to explain complex concepts clearly to non technical stakeholders and to influence data driven decisions.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Academic Qualifications
  <br/>
  <br/>
 </strong>
 The role is suitable for candidates with a strong digital and design background. We would welcome applications from those with degrees in:
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science
  </li>
  <li>
   Data Science
  </li>
  <li>
   Statistics, Mathematics
  </li>
  <li>
   Engineering
  </li>
  <li>
   or a related quantitative discipline (or equivalent relevant experience).
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Personal Attributes
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Highly organised, detail oriented, and rigorous in approach to data and schedule integrity.
  </li>
  <li>
   Proactive and solution driven , with a strong sense of ownership for deadlines and deliverables.
  </li>
  <li>
   Collaborative team player, comfortable working with multidisciplinary and multicultural teams.
  </li>
  <li>
   Able to work under pressure, manage multiple priorities, and adapt to evolving project needs
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bring your knowledge and expertise to one of the world&rsquo;s most respected consultancies.
  </li>
  <li>
   Hybrid working arrangements
  </li>
  <li>
   Attractive salary and benefits package
  </li>
  <li>
   A strong commitment to your continuous development. Whatever stage in your career, we have a learning and development programme that will enable and empower you
  </li>
  <li>
   Entitlement to two memberships to professional bodies or subscriptions
  </li>
  <li>
   An international culture that wherever your career takes you at Buro Happold, you won&rsquo;t be far from the exceptional.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  At Buro Happold, everyone else&rsquo;s extraordinary is just our everyday. Apply today and be a part of our legacy.
  <br/>
  <br/>
 </strong>
 <strong>
  A place for everyone
  <br/>
  <br/>
 </strong>
 Buro Happold values individual's flexible approaches to working patterns as an important part of the way you work and achieve balance . We welcome applications from those who are seeking flexibility in their careers.
 <br/>
 <br/>
 Our exceptional portfolio of projects is the result of the diversity of thought, identities, backgrounds and experiences that shape us. Appreciating each other&rsquo;s differences is key, we want employees to feel they don&rsquo;t have to mask elements of their identity to thrive .
 <br/>
 <br/>
 We are working to change the lack of representation of marginalised groups in the built environment and are particularly keen to hear from anyone who feels they are underrepresented in the industry. We have much to learn from one another. Embracing difference allows us to develop the most innovative and elegant solutions.
 <br/>
 <br/>
 Please let us know if there are any adjustments, we could make to the application process to make it easier and more comfortable for you. Contact recruitment@burohappold.com so we can work with you to support you throughout your application.
 <br/>
 <br/>
</div>


Senior Consultant - AI & Data Science

atmaal

<div>
 <p>
  AI &amp; Advanced Analytics Specialist .
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities:
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Collaborate with business stakeholders to translate strategic objectives into data-driven solutions and advanced analytics use cases.
 </p>
 <p>
  &bull; Design and develop predictive models including forecasting, classification, regression, and customer segmentation.
 </p>
 <p>
  &bull; Apply machine learning and optimization techniques to generate actionable business recommendations.
 </p>
 <p>
  &bull; Utilize Natural Language Processing (NLP) techniques for sentiment analysis, text classification, and information extraction from unstructured data.
 </p>
 <p>
  &bull; Conduct exploratory data analysis to identify trends, anomalies, and opportunities for business improvement.
 </p>
 <p>
  &bull; Leverage Generative AI capabilities for intelligent automation, content summarization, code generation, and insight extraction.
 </p>
 <p>
  &bull; Develop and deploy analytical solutions using modern cloud-based platforms and AI services.
 </p>
 <p>
  &bull; Build interactive dashboards and visualizations that effectively communicate insights to both technical and non-technical stakeholders.
 </p>
 <p>
  &bull; Monitor, validate, and continuously improve analytical models to ensure performance and reliability.
 </p>
 <p>
  &bull; Maintain proper documentation, methodology standards, and reproducible analytics workflows.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Requirements:
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, or a related field.
 </p>
 <p>
  &bull; 3&ndash;4 years of experience in Data Science, Advanced Analytics, Machine Learning, or Artificial Intelligence.
 </p>
 <p>
  &bull; Strong proficiency in Python.
 </p>
 <p>
  &bull; Hands-on experience with Power BI.
 </p>
 <p>
  &bull; Experience with Google Cloud Platform (GCP), including BigQuery, Vertex AI, and Google Cloud Storage.
 </p>
 <p>
  &bull; Practical experience in Machine Learning, Predictive Analytics, and NLP.
 </p>
 <p>
  &bull; Exposure to Generative AI technologies and Large Language Models (LLMs) is highly preferred.
 </p>
 <p>
  &bull; Strong analytical, problem-solving, and stakeholder management skills.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Preferred Language Level:
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Professional working proficiency in English (written and verbal).
 </p>
</div>


AI & Advanced Analytic Specialist

Gartner

<div><p><b>About Gartner IT:
</b></p><p>Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team.
</p><p></p><p><b>About the role:
</b></p><p>The Technical Support Specialist provides second level support to identify and solve technical issues escalated by the Help Desk to meet Gartner standards and SLA's for all Gartner Associates (in local and regional Gartner offices or working remotely). The Technical Support Specialist will also provide technical expertise on projects, site visits and Gartner Events.
</p><p></p><p><b>What you will do:
</b></p><ul><li>Escalated (level 2) technical support: Provides technical hardware troubleshooting &amp; diagnosis, software troubleshooting/installation, and information gathering to provide business solutions to keep Gartner Associates and infrastructure operational 24x7.
</li><li>Remote office visits (when required): Evaluates and provides onsite support in remote office locations including resolving technical issues and building rapport with associates.
</li><li>Asset Management: Accurately manages all asset life cycles to allow for the most efficient deployment of assets throughout the company.
</li><li>Events &amp; Symposiums: To ensure Gartner delivers world class events to our clients, liaise with ITIO Event Manager and Events staff to provide technology services and support to associates and clients including making on the spot decisions requiring discretion and judgment which impact Gartner&rsquo;s client satisfaction.
</li><li>Active Management of Service Request, Incident, and Activities: Responsible for ensuring all associate interactions are accurately documented, assigned, and communicated in order to determine and resolve issues, escalate if necessary, and provide solutions for future problem resolution and process improvement.
</li></ul><p></p><p><b>What you will need:
</b></p><ul><li>Bachelor&rsquo;s degree or foreign equivalent degree in Computer Science or a related field required
</li><li>1+ years client service experience
</li><li>1-3 years&rsquo; experience in an entry level technical support role.
</li><li>Understands networking concepts; servers; LANs/WANs.
</li><li>Experience using help desk call logging system.
</li><li>Experience with standard Microsoft products and platforms.
</li><li>Good problem - solving skills.
</li><li>Good communicator, able to deal independently with staff throughout the organization (verbal and written).
</li>Excellent customer service skills<br>
<li>
<br>
</li></ul><p><b>What you will get:
</b></p><ul><li>Competitive salary, generous paid time off policy, and more!
</li><li>World-class sales training programs and skill development programs
</li><li>Collaborative, team-oriented culture that embraces inclusion
</li><li>Professional development and career growth opportunities
</li></ul><p><b>Who are we?
</b></p><p></p><p>At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.
</p><p></p><p>Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.
</p><p></p><p>Since our founding in 1979, we&rsquo;ve grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That&rsquo;s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.
</p><p></p><p><b>What makes Gartner a great place to work?
</b></p><p></p><p>Our vast, virtually untapped market potential offers limitless opportunities &ndash; opportunities that may not even exist right now &ndash; for you to grow professionally and flourish personally. How far you go is driven by your passion and performance.
</p><p></p><p>We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.
</p><p></p><p>Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.
</p><p></p><p>We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.
</p><p></p><p><b>Gartner is the world authority on AI
</b></p><p></p><p>At Gartner, you&rsquo;ll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients&rsquo; AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You&rsquo;ll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes.
</p><p></p><p>It&rsquo;s an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that&rsquo;s reshaping the way we operate. If you&rsquo;re passionate about AI and want to be part of a team that&rsquo;s guiding the leaders who shape the world, Gartner is the place for you.
</p><p></p><p><b>What do we offer?
</b></p><p></p><p>Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.
</p><p></p><p>In our hybrid work environment, we provide the flexibility and support for you to thrive &mdash; working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.
</p><p></p><p>Ready to grow your career with Gartner? Join us.<br>
</p><p></p><p><br>
The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.
</p><p></p><p>Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company&rsquo;s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com .
</p><p></p>Job Requisition ID:111433
<p></p><p>By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence.
</p><p></p><p>Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy<br>
</p><p><br>
<b>For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.</b></p></div>

Technical Support Specialist

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Sales
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><p>Salesforce is hiring Deployment Strategists &mdash; Strategic Builders who are customer-facing advisors, who define AI strategy, shape agentic solutions, and drive measurable adoption for enterprise customers. You'll work as part of a delivery team alongside Forward Deployed Engineers, translating complex business challenges into agentic AI deployments that go live and generate real value. Engagements are focused and time-bound &mdash; typically 12 weeks or less &mdash; and may span a single strategic account or multiple customers simultaneously. Your impact isn't just getting to deployment. It ensures customers realise lasting, scalable value from the solutions your team builds.
</p><p></p><h2 class="jobSectionHeader"><b>Key Responsibilities
</b></h2><ul><li><p>Full Lifecycle Ownership: Lead end-to-end customer engagement across the complete value lifecycle &mdash; Identify Commit Deploy Consume &mdash; owning outcomes at every stage, not just discovery or deal closure
</p></li><li><p>AI Strategy &amp; Architecture: Define the customer's Agentic AI strategy and roadmap. Lead design workshops, agent design sessions, and jobs-to-be-done analysis. Architect solutions spanning Salesforce's agentic AI platform, Data Cloud, and enterprise systems, with responsible AI governance baked in from the start.
</p></li><li><p>Deployment Oversight &amp; Program Management: Manage engagement delivery end-to-end timelines, stakeholder communication, risk escalation, and progress reporting. You are the operational backbone of your delivery team, ensuring nothing falls through the cracks.
</p></li><li><p>Adoption &amp; Consumption: Own adoption, consumption, and expansion metrics within your engagement scope. Identify blockers early and develop strategies to drive measurable value realization
</p></li><li><p>Delivery Team Coordination: Partner closely with the Forward Deployed Engineers on your team to align strategy with technical execution. Keep the team focused, unblocked, and on track to hit delivery milestones.
</p></li><li><p>AI-Supported Development: You'll be developing real customer solutions supported by leading-edge AI tools: Including
</p></li><li><p>Cursor, Claude, and our coding products like Vibes, to accelerate development.
</p></li><li><p>Customer Stakeholder Management: Serve as the primary customer-facing contact, building trust-based relationships with senior stakeholders and present proposals, decisions and outcomes in terms of business value, not just technical detail.
</p></li><li><p>AI Readiness: Assess customer readiness for AI adoption and guide change management and process transformation to maximise the benefits of intelligent agents
</p></li><li><p>Product Feedback Loop: Synthesise field insights and translate them into actionable product feedback that influences Salesforce's Agentic AI platform roadmap.
</p></li></ul><p></p><h2 class="jobSectionHeader"><b>Required Qualifications
</b></h2><ul><li><p>4+ years experience in strategic solutioning, technical advisory, or delivery leadership or programme management for enterprise cloud or SaaS technology
</p></li><li><p>You have a degree in Computer Science or a related field
</p></li><li><p>Prior customer-facing delivery experience (consulting, professional services, or technical advisory) - this is a requirement, not a nice-to-have
</p></li><li><p>Demonstrated understanding of the Salesforce platform and ecosystem, including Agentic AI capabilities and Data Cloud
</p></li><li><p>Working knowledge of one or more programming languages: Python, JavaScript, Java, or Apex
</p></li><li><p>Proven ability to lead and own complex, ambiguous engagements end-to-end &mdash; from discovery through to measurable outcomes
</p></li><li><p>Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices
</p></li><li><p>Strong project and programme management skills &mdash; ability to run multiple workstreams, manage stakeholder expectations, and keep delivery on track in ambiguous environments
</p></li><li><p>Ability to travel 25% of the time to customer sitesֿ
</p></li><li><p>Business level proficiency in Arabic and English
</p></li><li><p>Computer Science (CS) degree or related.
</p></li></ul><p></p><h2 class="jobSectionHeader"><b>Preferred Experience
</b></h2><ul><li><p>Experience with Salesforce Data Cloud, Agentforce platform, and Salesforce CRM (Sales, Service, Marketing)
</p></li><li><p>Experience designing and deploying AI solutions in regulated industries (e.g., public sector, financial services, healthcare)
</p></li><li><p>Salesforce platform certifications (e.g., Data Cloud Consultant, Agentforce Specialist, Application Architect) or similar platform certifications such as Microsoft, Oracle, or similar platforms.
</p></li><li><p>Background in change management, organisational design, or enterprise transformation
</p></li><li><p>Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks
</p></li><li><p>A get-things-done mindset with strong bias for action &mdash; comfortable operating in unstructured fast moving environments
</p></li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</p></div><p></p>

Deployment Strategist, Arabic Speaking

Lenovo

<div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div>Req #
</div><div>WD00100491
</div></div><div><div>Career area:
</div><div>Legal
</div></div><div><div>Country/Region:
</div><div>Saudi Arabia
</div></div><div><div>State:
</div><div>Riyadh
</div></div><div><div>City:
</div><div>Riyadh
</div></div><div><div>Date:
</div><div>Wednesday, June 10, 2026
</div></div><div><div>Working time:
</div><div>Full-time
</div></div><div><div><b>Additional Locations</b>:
<ul><li>Saudi Arabia</li></ul>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Why Work at Lenovo
</b></h3></div></div><div><div><div><div><div><div>We are Lenovo. We do what we say. We own what we do. We WOW our customers.</div><div></div><div><br>
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).</div></div><br>
<div></div><br>
<div>This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.</div>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description and Requirements
</b></h3></div></div><div><div><div><div><p>Lenovo is hiring a <b>Sr. Legal Counsel, based in Riyadh, Saudi Arabia</b> to be part of our Europe and META Region Legal Team. The role reports directly to Lenovo&rsquo;s EMEA General Counsel.<br>
</p><p><br>
Your responsibility will be as a generalist, to handle a wide range of legal matters arising from Lenovo&rsquo;s rapidly expanding operations in Saudi Arabia. This includes contract drafting and negotiation, supporting direct sales, marketing and advertising activities, handling issues arising from our channel business, ensuring compliance with competition laws, ensuring compliance with local laws (including Sharia law) and regulations, ensuring ethical conduct of all of Lenovo&rsquo;s employees (which involves proactively training to employees, advising employees and in some cases investigating conduct), handling and advising on employment law issues, and handling commercial disputes and litigation.</p><p><br>
As a successful candidate for this role, you have demonstrated the ability to:</p><ul><li>Develop and implement legal processes to help support business teams minimize legal risks for Lenovo</li><li>Communicate effectively, both within Saudi Arabia and to colleges globally from many diverse backgrounds, in a manner that is clear and proactive, about legal and business matters, providing good risk/benefit analysis and guidance to internal stakeholders</li><li>Collaborate with fellow internal legal counsels within EMEA, including subject matter experts across various specialist areas of law, technology experts, marketing and sales leaders, product developers, Lenovo&rsquo;s manufacturing team, as well as with Lenovo&rsquo;s customers and suppliers</li></ul><p><br>
As an ideal candidate you have the following skillsets and characteristics:</p><ul><li>12 + years of legal experience within a law firm or as in-house counsel in the areas of law mentioned above</li><li>Law degree from a local or internationally recognized University</li><li>Arabic and English (native speaker level) both in writing (particularly in legal drafting) and speaking</li><li>Proven track record in building strong, trust-based relationships with internal clients</li><li>Ability to interface with customers and members of large organizations and across multiple functions</li><li>Ability to work in a fast-paced environment and handle the competing demands of business clients</li><li>Client service and results-orientated</li><li>Able to balance risk with desired business outcomes and provide proactive and constructive business-supportive legal advice</li></ul><br>
</div></div><div><div><div><i>We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.</i></div>
</div></div></div></div></div><div></div><div><div><div><div><div><b>Additional Locations</b>:
<ul><li>Saudi Arabia</li></ul>
</div></div><div><ul><li>Saudi Arabia<br>
</li></ul></div><div></div><div><div><div><br>
<br>
<div><b>AI PROCESSING NOTICE</b></div><div></div><div><br>
We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.</div></div></div></div></div></div></div></div>

Sr. Counsel, Legal, Saudi Arabia

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