data analytics specialist

AIQU

<div>
 <p>
  We are hiring
  <strong>
   Data Analyst
  </strong>
  to join one of our major clients based in
  <strong>
   Dubai, UAE.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Job Location - Dubai, UAE
 </p>
 <p>
  Job Type - 12 months Contract (Extendable)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Role
  </strong>
 </p>
 <p>
  We are seeking a detail-oriented and analytical Data Analyst with experience in Anti-Money Laundering (AML) to support our AML team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills
  </strong>
 </p>
 <ul>
  <li>
   3&ndash;8 years of experience as a Data Analyst with AML domains.
  </li>
  <li>
   Strong proficiency in Azure Data Lake- SQL for data extraction, transformation, and analysis.
  </li>
  <li>
   Experience with data visualization and reporting tools such as Power BI.
  </li>
  <li>
   Knowledge of AML, KYC related domains.
  </li>
  <li>
   Bachelor's degree in Data Analytics, Computer Science, Statistics or a related field.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
</div>


Data Analyst

<div><div>United Arab Emirates Digital &amp; IT 5 - 10 years Dubai On-site
</div><p>Data Analyst - AML (Arabic) to join one of our Esteemed client in Dubai</p><p></p><div><div><br>
<div></div>
</div></div><div><div><div>About The Member Company
<p>We are a global high-tech consultancy company with a team of entrepreneurial engineers, scientists, and digital experts from around the world. Together we form a fast-growing and proud community. We offer consultancy services to high-profile clients globally in diverse service areas, such as:</p>
<ul><li>Technology &amp; Engineering</li>
<li>Energy &amp; Renewables</li>
<li>Life sciences &amp; Pharma</li>
<li>Digital &amp; IT</li>
</ul></div></div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b>About this vacancy</b></h2>
<p>We are seeking a detail-oriented and analytical Data Analyst with experience in Anti-Money Laundering (AML) to support our AML team.</p>
</div></div></div></div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b>What we expect from you</b></h2>
<p>Bachelor&rsquo;s degree in data Analytics, Computer Science, Statistics, or a related field.</p><p>
3&ndash;8 years of experience as a Data Analyst with AML domains.</p><p>
Strong proficiency in Azure Data Lake- SQL for data extraction, transformation, and analysis.</p><p>
Experience with data visualization and reporting tools such as Power BI.</p><p>
Knowledge of AML, KYC related domains.</p>
</div></div></div></div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b>What you can expect from us</b></h2>
<p>TMC is an international high-tech consultancy company that brings expertise to its clients in order to support them with the realization of their technological challenges. As such, TMC is operating as an expert center at the disposition of its clients and we help them to be more competitive in an ever more global and faster-changing technological world. At TMC we believe that people are the driving force behind technological innovation. That is why we want to create the best possible conditions for tech talents to thrive in. We offer you a challenging and stimulating work environment in which you can be the director of your own career. As an Employeneur you are part of our TMC family. Next to our outstanding technical expertise, fun and engagement are meaningful parts of our culture.</p></div></div></div></div></div></div>

Data Analyst - AML (Arabic)

M S K Real Estate Brokers

<p><b>M S K Real Estate Brokers LLC</b> is an award-winning real estate brokerage in Dubai, recognized by Nakheel (Black Onyx Award &ndash; 2 Years in a Row), Majid Al Futtaim (Top Brokerage Partner), and trusted by leading developers including Emaar, Nakheel, Meraas, Sobha, Aldar, Binghatti, DAMAC and more.</p><p>We are looking for a <b>creative, analytical, and performance-driven Digital Marketing Specialist</b> with experience in <b>real estate digital marketing</b> to join our growing team in Dubai.</p><p>If you're passionate about lead generation, paid advertising, content creation, and performance marketing, we'd love to hear from you.</p><p><b>M S K Real Estate Brokers LLC</b> is an award-winning real estate brokerage in Dubai, recognized by Nakheel and Majid Al Futtaim, and partnered with leading developers including Emaar, Nakheel, Meraas, Sobha, Aldar, Binghatti, and DAMAC.</p><p>We are looking for a <b>creative and results-driven Digital Marketing Specialist</b> with experience in <b>UAE real estate marketing</b> to manage digital campaigns, generate quality leads, and strengthen our online presence.</p><p>Job Details</p><p><b>Location:</b> Business Bay, Dubai (On-site)</p><p><b>Job Type:</b> Full-time</p><p>Key Responsibilities</p><ul><li>Manage and optimize Google Ads &amp; Meta Ads campaigns</li><li>Plan and execute lead generation campaigns</li><li>Create engaging content for social media and digital platforms</li><li>Manage SEO, SEM, email marketing, and website updates</li><li>Monitor campaign performance using Google Analytics and Meta Ads Manager</li><li>Prepare marketing reports and recommend optimizations</li><li>Work closely with the Sales and CRM teams to improve lead quality</li></ul><p>Requirements</p><ul><li>Minimum <b>3 years of Digital Marketing experience</b></li><li><b>UAE Real Estate marketing experience preferred</b></li><li>Strong knowledge of Google Ads, Meta Ads, SEO, SEM, and Google Analytics</li><li>Experience with WordPress, Canva, Photoshop, or Illustrator</li><li>Excellent content writing and communication skills</li><li>Immediate joiners preferred</li></ul><p>What We Offer</p><ul><li>Competitive Salary</li><li>Company Visa &amp; Medical Insurance</li><li>Career Growth Opportunities</li><li>Professional Work Environment</li><li>Opportunity to work with one of Dubai's leading real estate brokerages</li></ul><p><b>Apply now with your updated CV. Only shortlisted candidates will be contacted.</b></p><p>Application Question(s):</p><ul><li>How many years of experience do you have managing Google Ads?</li><li>How many years of experience do you have managing Meta Ads?</li><li>Are you available to join immediately?</li><li>Which digital marketing platforms have you managed? </li></ul><p>Experience:</p><ul><li>Digital Marketing: 3 years (Required)</li><li>UAE Real Estate marketing: 2 years (Required)</li></ul><p>Work Location: In person</p>

Digital Marketing Specialist | Real Estate Marketing | Google Ads, Meta Ads & SEO

Easygenerator

<div>
 <strong>
  Join Easygenerator and build the data platform powering the future of learning
  <br/>
  <br/>
 </strong>
 Step into an exciting role with an innovative e-learning software company in the EdTech space as a
 <strong>
  Data Engineer
 </strong>
 .
 <br/>
 <br/>
 Easygenerator is a fast-growing scale-up revolutionizing e-learning with our award-winning authoring tool. Join us to build scalable data solutions that enable smarter decisions across Product, Marketing, Revenue, and Business Intelligence.
 <br/>
 <br/>
 What's in it for you?
 <br/>
 <br/>
 <ul>
  <li>
   Grow Your Career: Take ownership of our modern data platform and work on high-impact projects spanning analytics, AI, and business intelligence.
  </li>
  <li>
   International Environment: Join a dynamic, international team (40+ nationalities) in a fast-growing scale-up where your work directly influences business outcomes.
  </li>
  <li>
   AI-First Company: We embrace AI in both our product and internal operations. You'll gain hands-on experience with AI-powered analytics and emerging data technologies.
  </li>
  <li>
   Learning &amp; Development: Access continuous coaching, learning opportunities, and the freedom to explore new technologies and best practices.
  </li>
  <li>
   Hybrid Working Policy: 3 day on-site / 2-day Work from Home (WFH) split.
   <br/>
   <br/>
  </li>
 </ul>
 What you will be doing
 <br/>
 <br/>
 <ul>
  <li>
   Build and maintain scalable data pipelines and infrastructure using Snowflake, AWS Glue, and modern ETL/ELT frameworks.
  </li>
  <li>
   Integrate data from platforms such as Salesforce, Mixpanel, Segment, Customer.io, Intercom, Google Analytics, and LinkedIn Ads.
  </li>
  <li>
   Develop reliable data models, warehouses, and data lakes to support reporting and analytics.
  </li>
  <li>
   Implement data quality, monitoring, governance, and security best practices.
  </li>
  <li>
   Build AI-powered self-service analytics capabilities for business users.
  </li>
  <li>
   Partner with Product, Marketing, Revenue Operations, and BI teams to deliver impactful data solutions.
  </li>
  <li>
   Optimize platform performance, reliability, and cost efficiency.
   <br/>
   <br/>
  </li>
 </ul>
 What you will bring
 <br/>
 <br/>
 <ul>
  <li>
   5+ years of Data Engineering experience.
  </li>
  <li>
   Strong expertise in Snowflake, including architecture, performance optimization, governance, and security.
  </li>
  <li>
   Experience with AWS Glue (PySpark), ETL/ELT pipelines, and workflow orchestration.
  </li>
  <li>
   Advanced SQL and Python skills.
  </li>
  <li>
   Experience with PostgreSQL, MongoDB, Amazon S3, and modern cloud data architectures.
  </li>
  <li>
   Strong understanding of data modelling, warehousing, and analytics engineering practices.
  </li>
  <li>
   Experience integrating SaaS platforms and customer, product, marketing, or revenue data.
  </li>
  <li>
   Knowledge of data governance, privacy, and compliance frameworks such as GDPR.
  </li>
  <li>
   Strong problem-solving skills, ownership mindset, and attention to detail.
   <br/>
   <br/>
  </li>
 </ul>
 Nice to have
 <br/>
 <br/>
 <ul>
  <li>
   Experience in a B2B SaaS environment.
  </li>
  <li>
   Power BI experience, including data modeling and DAX.
  </li>
  <li>
   Experience with Snowflake Cortex AI and AI-powered analytics solutions.
  </li>
  <li>
   Knowledge of marketing attribution and revenue analytics.
  </li>
  <li>
   Experience with Streamlit, Mixpanel, or similar analytics tools.
   <br/>
   <br/>
  </li>
 </ul>
 Ready to Join Us?
 <br/>
 <br/>
 If you're passionate about building modern data platforms and helping teams make smarter decisions with data, we'd love to hear from you. Apply today!
 <br/>
 <br/>
</div>


Data Engineer

Emirates Flight Catering

<div>
 <p>
  <strong>
   About
  </strong>
 </p>
 <p>
  <strong>
   Emirates Flight Catering (EKFC)
  </strong>
  is seeking a passionate and experienced
  <strong>
   Senior Manager, Culinary Insights &amp; Forecasting
  </strong>
  to join our world-class culinary team, supporting our global clientele.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Purpose:
  </strong>
 </p>
 <p>
  The job holder is responsible to lead the function as a Centre of excellence for demand forecasting, business intelligence and performance analytics, delivering trusted insights that support strategic decision-making, optimize planning and resource allocation, and enhance operational performance. The role drives forecasting maturity, data-led decision-making and cross-functional alignment to create sustainable business value across Culinary and the wider supply chain.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Result Areas:
  </strong>
 </p>
 <p>
  1. Lead the function by defining its roadmap, service catalogue, governance approach and delivery standards to ensure alignment with the Company&rsquo;s culinary, planning, procurement and strategic priorities.
 </p>
 <p>
  2. Lead the development and continuous improvement of demand forecasting methodologies to enhance forecast accuracy, responsiveness to demand changes, and planning effectiveness across culinary operations.
 </p>
 <p>
  3. Provide culinary and operational insights by analyzing menu consumption demand patterns, kitchen efficiency, food waste, supplier performance and cost drivers to improve operational performance and support cost optimization.
 </p>
 <p>
  4. Support leadership decision-making by preparing executive intelligence packs, dashboards and quarterly reviews that clearly explain trends, risks, opportunities and recommended actions.
 </p>
 <p>
  5. Drive the integration of demand forecasts into business planning by partnering with Planning, Procurement, Finance and Culinary teams to align budgets, purchasing and production plans with forecasted needs.
 </p>
 <p>
  6. Drive a data-led culture across Culinary and related functions by influencing strategic and operational decisions through actionable insights, ensuring recommendations are translated into measurable business improvements.
 </p>
 <p>
  7. Develop and govern self-service reporting, forecasting and analytical solutions that provide stakeholders with timely, accurate and trusted information while ensuring data integrity, consistency and compliance with reporting standards.
 </p>
 <p>
  8. Improve analytical capability and forecast maturity by introducing relevant best practices in culinary analytics, demand planning, menu engineering, waste analytics and performance intelligence.
 </p>
 <p>
  9. Lead and develop the team by coaching team members, building technical capability, setting clear objectives and ensuring continuity of expertise across the function.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Knowledge, Skills &amp; Minimum Experience:
  </strong>
 </p>
 <p>
  <em>
   <u>
    Education Qualification:
   </u>
  </em>
 </p>
 <p>
  a) Bachelor&rsquo;s degree in business Analytics, Supply Chain, Operations Management, Industrial Engineering, Food Production Management or related quantitative field.
 </p>
 <p>
  b) A master&rsquo;s degree, MBA, or postgraduate qualification in Analytics, Operations, or Data Science would be preferred.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   <u>
    Work Experience:
   </u>
  </em>
 </p>
 <p>
  a) Minimum 8 years&rsquo; experience in analytics, forecasting, demand planning, production planning, manufacturing analytics, supply chain analytics or business intelligence, preferably within aviation catering, food manufacturing, hospitality, FMCG or large-scale production environments.
 </p>
 <p>
  b) The role requires at least 5 years&rsquo; senior leadership experience, with proven ability to lead analytical teams, develop forecasting and planning models, support production and procurement decisions, and translate complex data into clear recommendations for senior leadership and
 </p>
 <p>
  operational stakeholders.
 </p>
 <p>
  c) Experience in S&amp;OP, IBP, budgeting, production planning, procurement planning, dashboard development, forecast accuracy tracking, waste analytics, menu performance analysis and cost optimization would be highly valuable.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   <u>
    Skill:
   </u>
  </em>
 </p>
 <p>
  a) Advanced analytical and data interpretation skills with expertise in forecasting, demand planning, and predictive modelling.
 </p>
 <p>
  b) Strong proficiency in Power BI, SQL, Python, dashboard development, and data visualization tools.
 </p>
 <p>
  c) Strong knowledge of S&amp;OP, production planning, procurement planning, cost optimization, and operational performance analytics.
 </p>
 <p>
  d) Proven leadership and stakeholder management skills with the ability to translate complex insights into business decisions.
 </p>
 <p>
  e) Excellent problem-solving, strategic thinking, and communication skills within fast-paced large-scale operational environments.
 </p>
</div>


Senior Manager, Culinary Insights & Forecasting

Group AMANA

<div>
 <p>
  Amana is seeking an experienced Data Platform Lead with deep expertise in Databricks, the Microsoft Azure ecosystem, and modern lakehouse architectures. The ideal candidate will play a central role in Amana's ongoing platform refresh, moving workloads from Synapse Analytics to a Databricks lakehouse with Unity Catalog, and building the technical foundation that powers analytics, AI, and governance across the enterprise. This role sits within Amana's Data Science, Governance &amp; AI Centre of Excellence, working alongside architects, engineers, analysts, data scientists, and AI engineers, with future growth opportunities into senior platform leadership.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why This Role Matters
  </strong>
 </p>
 <p>
  Amana operates across capital-intensive sectors where data reliability, cost discipline, and speed of insight are business-critical. The enterprise data platform is the backbone of every downstream analytics, AI, and governance initiative &mdash; from ERP-integrated reporting and predictive models to Agentic AI and Copilot rollouts across the group.
 </p>
 <p>
  You will be at the technical centre of this transformation, designing, building, and hardening the lakehouse that the rest of the function depends on.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Core Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   Lakehouse Architecture &amp; Delivery
  </strong>
 </p>
 <ul>
  <li>
   Design and deliver end-to-end Databricks lakehouse components &mdash; ingestion, transformation, semantic layer, and serving.
  </li>
  <li>
   Set and enforce Delta Lake and medallion architecture standards across bronze, silver, and gold layers.
  </li>
  <li>
   Lead the technical execution of the Synapse Analytics to Databricks migration, including parallel run, cutover, and decommissioning.
  </li>
  <li>
   Contribute to and sign off on reference designs, integration patterns, and architecture decision records.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Engineering &amp; Integration
  </strong>
 </p>
 <ul>
  <li>
   Build and maintain robust ingestion and transformation pipelines from Amana's core enterprise systems: Oracle Fusion (Finance, HCM, P2P, CRM), Hyperion, CMiC, project and operations systems, SharePoint, and Power Platform.
  </li>
  <li>
   Apply strong CI/CD, DataOps, and infrastructure-as-code practices using Git, Azure DevOps, and Terraform or Bicep.
  </li>
  <li>
   Ensure platform reliability through monitoring, alerting, and structured incident response.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   AI/ML &amp; Analytics Enablement
  </strong>
 </p>
 <ul>
  <li>
   Build and operate feature store, MLOps, and LLMOps foundations on Databricks.
  </li>
  <li>
   Enable production-grade RAG, agent, and Copilot patterns in partnership with the Data Scientist and AI Engineer.
  </li>
  <li>
   Deliver Power BI semantic models, certified datasets, and self-service guardrails supporting the Amana Digital Academy and enterprise adoption.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Governance &amp; Trustworthy Data
  </strong>
 </p>
 <ul>
  <li>
   Implement lineage, cataloguing, access control, data quality, and PDPL controls inside the platform using Unity Catalog and Microsoft Purview.
  </li>
  <li>
   Partner with the Data Governance Office to translate live policies into enforceable platform controls.
  </li>
  <li>
   Support regulatory, ethical, and internal compliance obligations across the data estate.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Cloud &amp; Cost Discipline
  </strong>
 </p>
 <ul>
  <li>
   Own FinOps hygiene on the platform: cluster policies, workload tiering, rightsizing, and chargeback readiness.
  </li>
  <li>
   Translate cloud cost outcomes into commercial terms understood by finance and business stakeholders.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Collaboration &amp; Technical Leadership
  </strong>
 </p>
 <ul>
  <li>
   Work closely with the Data Architect, Data Engineer, Data Analyst, Data Scientist, and AI Engineer to set and uphold technical standards.
  </li>
  <li>
   Provide hands-on technical guidance and code review across the team.
  </li>
  <li>
   Translate business requirements into technical designs with clear delivery outcomes.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Minimum of 7 years in data engineering or data platform work, with strong hands-on delivery experience.
  </li>
  <li>
   At least 3 years hands-on with Databricks, Apache Spark, and Delta Lake at enterprise scale. Snowflake or BigQuery experience is acceptable where the CV shows a real Databricks migration.
  </li>
  <li>
   Contributed to the build or rebuild of an enterprise data platform serving multiple business domains.
  </li>
  <li>
   Deep hands-on experience with the Azure data stack: Databricks, ADLS, Azure Data Factory, Synapse, Azure SQL, Fabric.
  </li>
  <li>
   Direct experience integrating heavy ERP sources: Oracle Fusion, Hyperion, CMiC, or equivalent estates.
  </li>
  <li>
   Governance shipped to production using Unity Catalog or Microsoft Purview, with PDPL or GDPR controls operational, not theoretical.
  </li>
  <li>
   Practical FinOps outcomes on cloud spend.
  </li>
  <li>
   Strong on CI/CD, Git, Azure DevOps, and infrastructure-as-code (Terraform or Bicep).
  </li>
  <li>
   Excellent written and verbal communication skills across technical and business audiences.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Direct experience of a Synapse Analytics to Databricks migration.
  </li>
  <li>
   Exposure to MLOps and LLMOps stacks: MLflow, feature store, vector stores, RAG, agent frameworks.
  </li>
  <li>
   Familiarity with Power BI semantic models and enterprise BI governance.
  </li>
  <li>
   Streaming and event-driven experience: Kafka, Event Hubs, Structured Streaming.
  </li>
  <li>
   Multi-entity, multi-country group exposure with mixed data residency considerations.
  </li>
  <li>
   Industry experience in construction, engineering services, manufacturing, energy, or logistics.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Certifications
  </strong>
 </p>
 <p>
  <strong>
   <u>
    Mandatory:
   </u>
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Databricks Certified Data Engineer Professional
   </strong>
   (Candidates holding the Associate level will be considered on the condition that Professional is achieved within 6 months of joining.)
  </li>
 </ul>
 <p>
  <strong>
   Preferred (one or more):
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Databricks Certified Machine Learning Professional
   </strong>
  </li>
  <li>
   <strong>
    Databricks Certified Generative AI Engineer Associate
   </strong>
  </li>
  <li>
   <strong>
    Microsoft Certified: Azure Data Engineer Associate
   </strong>
   (DP-203 / DP-700)
  </li>
  <li>
   <strong>
    Microsoft Certified: Fabric Analytics Engineer Associate
   </strong>
   (DP-600)
  </li>
  <li>
   <strong>
    Microsoft Certified: Azure Solutions Architect Expert
   </strong>
  </li>
  <li>
   <strong>
    Certified Data Management Professional (CDMP)
   </strong>
   &mdash; DAMA
  </li>
 </ul>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <p>
  M.Tech / B.E. / B.Tech (Computer Science, Information Systems, IT) / MCA / MCS.
 </p>
</div>


Data Platform Lead

The Emirates Group

<div><h5 class="jobSectionHeader"><b>Job Purpose<br>
</b></h5> <p>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets.The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.<br>
</p><p></p><br>
<p>As a <b>Data Scientist Team Lead </b>you will manage and drive data science projects through the application of mathematical modelling, machine learning, problem structuring and big data analysis to solve complex business problems across the Emirates Group portfolio. The role will require strong skills in computer science, mathematics, statistics and creative problem solving. The job holder is a focused individual who is able to transcend the world of theory, bring it to life in the business context and collaborate successfully with cross functional teams including academic researchers, business stakeholders and information technology teams.<br>
</p><p></p><br>
<p><b>In this role you will:
</b></p><div><ul><li>Manage team of Data Scientists, ensuring the culture, strategy and vision are passed to the teams. Aligned with the DS and EA leadership, review team capabilities and establish training/mentoring plan.
</li><li>Support and drive DS execution within team, targeting and developing relationships with the key internal stakeholders and clients to continue to drive practice demand growth.
</li><li>Derive business insight from large, structured, semi-structured and unstructured, data sets and work with business stakeholders to deploy insights derived from this analysis to extract commercial value.
</li><li>Develop, formulate and execute big data models to solve complex business problems. Research, design, implement and validate cutting-edge algorithms to achieve targeted business outcomes using mathematical models, machine learning, operational research theories and dynamic simulations.
</li><li>Build prescriptive models to identify multi-dimensional trends and patterns to understand our customers, optimise revenue and demand management plus drive efficiencies across the operational environment including aircraft operations, engineering, workforce management and catering.
</li><li>Work with cross-functional team members, combining computer science and mathematics, to identify and inject high-value actionable insights into business processes at their point of highest impact. Work in quick iterations, using the techniques and algorithms best suited for solving the challenging problems of the aviation business.
</li><li>Develop and recommend enhancements to existing tools with the goal of advancing the data science capabilities of the organisation. Perform validation and testing of models to ensure adequacy and reformulate models as necessary.
</li><li>Clearly document and communicate the outcomes of the data science initiatives and make sure that the insights and findings can be clearly understood by business stakeholders and translated into actions.
</li>Inspire and promote the adoption of advanced analytics and data science across the entirety of our organization and provide expertise on mathematical concepts for the broader applied analytics team.<br>
<li>
</li></ul></div><p></p><br>
<h5 class="jobSectionHeader"><b>Qualification
</b></h5><p><b>To be considered for the role, you must meet the below requirements:
 </b></p><p><b>Qualifications:
</b></p><div><ul><li>MSc/PhD in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics.
 </li></ul></div><p><b>Experience:
</b></p><div><ul><li>7-10+ years of hands-on experience in the Analytics ecosystem including:
</li></ul></div><div><div><div><div><ul><li>Experience Managing Data Science or Analytics Teams or acting as Manager in a consulting company.
</li></ul><ul><li>3-5 years hands-on experience with big data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.).
</li></ul><ul><li>5-7 years hands-on experience with SQL, R, Python.
</li></ul><ul><li>2-4 years hands-on experience with DevOps frameworks (Git, CI/CD, Docker).
</li></ul><ul><li>3-5 years hands-on experience building libraries and packages to be re-used by others.
</li></ul><ul><li>3-5 years hands-on experience building DS Solutions for production usage.
</li></ul><ul><li>Team player with a problem-solving attitude.
</li></ul><ul><li>Experience of leading &amp; delivering advanced analytical projects to large, complex organisations in a multi-functional environment.
</li></ul><ul><li>Able to challenge and review the quality and value generated from analytical output.
</li></ul>Focus on driving business value for business clients to support long term relationships. Ability to grow teams, ensuring the culture and strategy gets followed by the new hires.<br>
<ul><li>
</li></ul></div></div></div></div><div></div><br>
<p>Join us in a management role and enjoy an attractive tax-free salary. On top of our generous travel benefits, including discounted flights and hotel stays around the world, this managerial role also has an excellent leave and healthcare package. That&rsquo;s on top of transport benefits, life insurance and more.
</p><h5 class="jobSectionHeader"><b>Salary &amp; benefits
</b></h5><p>Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers</p></div>

Data Scientist Team Lead –

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