senior accountant

junior accountant

senior graphic designer

senior architect

data analyst

senior data scientist

Emirates NBD

<div>
 
 
 Organization Unit Purpose
 
 
 
 Emirates NBD is one of the largest banks in the Middle East, with over USD 6Bn in revenues and 14000 employees globally. As part of its strategic mandate, the bank has recently setup its Advanced Analytics Centre of Excellence for driving ENBD&rsquo;s ambitious advanced analytics agenda across ENBD.
 
 
 
 
 
 Core objectives of the center include:
 
 
 - Deliver 500-800 Mn AED business impact through a series of use cases/ AA projects executed in collaboration with the BU&rsquo;s
 
 
 - Instill a data driven culture across ENBD by building organization wide capabilities in advanced analytics
 
 
 
 
 
 The CoE will act as an enabler to the BUs to deploy advanced analytics models to drive smarter decisions across different domains. It will act as a guiding light to BUs to ideate on what&rsquo;s possible with advanced analytics, help them prioritize these ideas, and pilot and productionalize them through cross-functional AA squads.
 
 
 
 
 
 It will house highly skilled data scientists, data engineers and other digital talent that will be an integral part of cross-functional squads that execute AA projects.
 
 
 
 
 
 The AA agenda is a high visibility and high priority initiative for ENBD. AA CoE will be governed at ExCo level, including impact tracking, a ringfenced budget &amp; performance management
 
 
 
 
 
 
 Job Purpose
 
 
 <ul>
 <li>
 The data scientist scopes, designs, and implements machine-learning models to support use case execution with a view of achieving overall objectives and targets
 </li>
 <li>
 The role is highly collaborative and works with product owners, business translator, data warehousing and data engineering teams in creating big data applications through the utilization of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniques
 </li>
 <li>
 The senior data scientist is expected to take charge of end to end delivery of machine learning models including regularly testing and maintain analytical models to improve efficiency and keep up with changing business needs
 </li>
 <li>
 The role supports Translators in communicating the design, functioning and output of the analytical models/solutions developed
 </li>
 <li>
 The senior data scientist additionally plays a mentorship role to others in the team, guiding junior colleagues in execution of their duties, and mentoring them in their professional growth
 </li>
 </ul>
 
 
 
 
 
 Job Content
 
 
 
 Deliver a strong roadmap of AA projects in collaboration with Business Units
 
 <ul>
 <li>
 Designs and implement machine-learning models to support the business&rsquo;s numerous initiatives and programs with a view of achieving overall objectives and targets
 </li>
 </ul>
 
 
 Artefact documentation
 
 
 <ul>
 <li>
 Successful documentation of reusable code
 </li>
 </ul>
 
 
 Development and learning
 
 
 <ul>
 <li>
 Achieve personal technical development and learning goals
 </li>
 </ul>
 
 
 Collaboration and knowledge share
 
 
 <ul>
 <li>
 Conduct knowledge sharing sessions internally within the CoE as well as externally in meetups, conferences etc
 </li>
 <li>
 Participates in and helps plan cultural initiatives for CoE
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 University degree
 </li>
 <li>
 Advanced degree (MS/Ph.D) in Computer Applications, Economics, Statistics or Mathematics or related technical discipline with high analytical rigor is desirable
 </li>
 </ul>
 
 
 
 
 
 Experiences
 
 
 
 6-8 years of experience in a data science role is essential
 
 
 
 
 
 
 Knowledge &amp; Skills
 
 
 <ul>
 <li>
 Validated experience of defining analytics road map and leading analytics engagements
 </li>
 <li>
 Should have experience in machine learning, statistics, optimization or related fields
 </li>
 <li>
 Experience with programming is a must; specifically experience in R or Python
 </li>
 <li>
 Experience of working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) is essential
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Worked in agile environments with multiple stakeholders from the business
 </li>
 </ul>
 
 
 
 
 
 Behavioral Competencies
 
 
 <ul>
 <li>
 Practical and action oriented
 </li>
 <li>
 Compelling communicator
 </li>
 <li>
 Excellent stakeholder management
 </li>
 <li>
 Foster and promote entrepreneurial spirit and curiosity amongst team members
 </li>
 <li>
 Team player
 </li>
 <li>
 Quick learner
 </li>
 </ul>
 
 
</div>

Senior Data Scientist

Jex Recruitment | Connecting top talent with leading companies

<div>
 
 
 Data Scientist &ndash; Credit Risk (Financial Services)
 
 
 
 Dubai (Hybrid)
 
 
 
 
 
 We&rsquo;re working with a leading financial services organisation in Dubai looking to hire a
 
 Data Scientist
 
 focused on
 
 credit risk modelling and portfolio analytics
 
 .
 
 
 
 
 
 
 
 
 💡
 
 What you&rsquo;ll be doing
 
 
 
 &bull; Build and enhance credit risk models across retail or corporate portfolios
 
 
 &bull; Analyse large financial datasets to identify risk trends, portfolio performance, and early warning signals
 
 
 &bull; Support IFRS9 provisioning, stress testing, and capital modelling initiatives
 
 
 &bull; Work with structured and alternative datasets to improve segmentation and predictive insight
 
 
 &bull; Monitor portfolio health and deliver dashboards/reporting to key stakeholders
 
 
 &bull; Collaborate with risk, underwriting, and product teams to translate insights into actionable credit strategies
 
 
 &bull; Contribute to documentation, governance, and regulatory compliance of models
 
 
 
 
 
 ✅
 
 What we&rsquo;re looking for
 
 
 
 &bull; Experience within banking, fintech, or lending environments in a Data Science / Credit Risk Analytics capacity
 
 
 &bull; Hands-on
 
 model development experience
 
 across credit risk or lending models (PD, LGD, EAD, application or behavioural scorecards)
 
 
 &bull; Strong statistical background (logistic regression, decision trees, GBM, segmentation, survival analysis)
 
 
 &bull; Proficiency with Python or SAS plus SQL for data extraction and analysis
 
 
 &bull; Good understanding of the credit lifecycle and model monitoring / recalibration concepts
 
 
 &bull; Familiarity with IFRS9, Basel, stress testing, or model governance frameworks is highly desirable
 
 
 &bull; Ability to communicate insights clearly to non-technical stakeholders
 
 
 
</div>

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 
 About the Role
 
 
 
 
 We&rsquo;re looking for senior technical leaders who can architect and scale intelligent systems that architect the "brain" of our dark store operations. As a senior data scientist you won&rsquo;t just be building models, you&rsquo;ll be optimizing the lifecycle of millions of items from the moment they leave a supplier to the moment they reach a customer&rsquo;s doorstep in under 20 minutes. You will tackle the classic "perishable trade-off" ensuring our shelves are always stocked with what customers want, while ruthlessly minimizing wastage and maximizing every square centimetre of our dark store floor space.
 
 
 
 
 What You'll Do
 
 
 
 
 <ul>
 <li>
 Demand Forecasting: Build and deploy high-precision forecasting models to predict hyper-local demand at the SKU-store level.
 </li>
 <li>
 Inventory &amp; Availability: Develop replenishment algorithms that balance In-Stock Availability with the risk of expiry, specifically for high-turnover perishables.
 </li>
 <li>
 Wastage Mitigation: Use ML to identify items at risk of expiring and trigger automated interventions including reduced-to-clear discounting, intra-store replenishment etc.
 </li>
 <li>
 Dynamic Pricing &amp; Discounts: Design and A/B test pricing strategies that move inventory efficiently without eroding margins.
 </li>
 <li>
 Space Management: Optimize dark store space determining which items should be stored where within the dark store to minimize picker travel time and maximize storage density.
 </li>
 <li>
 End-to-End Ownership: Work closely with Product Managers and Supply Chain Operations to turn your models into production-level code that dictates real-world logistics.
 
 
 </li>
 </ul>
 
 
 What You'll Need
 
 
 
 
 <ul>
 <li>
 Academic Background &amp; Experience: 8+ years of experience in Data Science, ideally in E-commerce, Q-commerce, or Supply Chain. A background in Operations Research or Statistics. Hands-on proficiency in Python, Spark and ML frameworks. Experience with real-time inference systems and model monitoring in production. Strong understanding of experimentation, A/B testing, and causal inference. Demonstrated ability to drive architectural decisions across teams.
 </li>
 <li>
 Technical Skills: Professional-grade Python and SQL. Experience with optimization libraries (like Gurobi, CPLEX, or PuLP) and ML frameworks (XGBoost, LightGBM, or PyTorch).
 </li>
 <li>
 Problem Solving: Experience with Stochastic Optimization or Reinforcement Learning for inventory management is highly preferred.
 </li>
 <li>
 Business Intuition: You understand that a 1% reduction in wastage across 100+ stores translates to millions in saved EBITDA.
 </li>
 <li>
 Communication Skills: Excellent communication skills and ability to translate complex modelling trade-offs into business impact.
 
 
 </li>
 </ul>
 
 
 What We&rsquo;ll Provide You
 
 
 
 
 
 
 We Offer Colleagues The Opportunity To Drive Impact In The Region While They Learn And Grow. As a Full Time Careem Colleague, You Will Be Able To
 
 
 <ul>
 <li>
 Work and learn from great minds by joining a community of inspiring colleagues.
 </li>
 <li>
 Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
 </li>
 <li>
 Explore new opportunities to learn and grow every day.
 </li>
 <li>
 Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
 </li>
 <li>
 Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
 </li>
 </ul>
</div>

Senior Data Scientist II - Supply Chain

AILY LABS

<div>
 
 Mission
 
 
 
 Aily Labs is a B2B SaaS company building an AI-powered decision intelligence app for enterprises. Our mobile-first platform combines company data with advanced machine learning, large language models and agentic AI to give business leaders clear, actionable insights in real time.
 
 
 Instead of traditional dashboards and reports, Aily delivers simple, personalized recommendations that help teams decide and act faster across
 
 finance, supply chain, R&amp;D, commercial,
 
 and more. The app is designed to be intuitive for end users and easy to integrate for IT, so companies can move from analysis and indecision to confident, data-driven decisions every day.
 
 
 Founded in 2020 in Munich, Aily Labs has grown into a global team of 300+ people across Munich, Barcelona, Madrid, Cluj, New York, and now Dubai. Our mission is to democratize AI in business and enable leaders to
 
 Lead Boldly
 
 , turning complex data into decisions that drive real, measurable impact.
 
 
 We are looking for
 
 Data Scientists
 
 who are passionate about the power of AI and who thrive at the intersection of business, analytics, and AI: someone who not only trains models but also deeply understands the business context in which they're applied. Your job is to make sure AI is solving the right problems, using the right approaches, and driving measurable impact.
 
 
 
 About This Role &ndash; Domains Department
 
 
 
 The Data Science Domains Department powers business-critical decision-making across four key areas of enterprise operations. We build and deploy AI-driven features that transform how business leaders understand and act on complex data challenges in their specific domains.
 
 
 Each domain has distinct requirements, challenges, and opportunities&mdash;but all share the mission of delivering real-time, actionable AI insights that drive measurable business impact.
 
 
 
 Our Four Domains
 
 
 
 <ul>
 <li>
 Finance (FIN): We enable smarter, faster financial decision-making across the enterprise by partnering with Finance teams to improve forecasting accuracy, planning agility, and financial transparency through AI-driven solutions. We tackle volatile revenue and demand signals, large-scale multi-dimensional forecasting, and resource allocation under uncertainty, while ensuring models remain explainable and actionable. Our work moves Finance beyond reactive reporting toward proactive data-driven decision-making, powered by production-grade ML systems at enterprise scale.
 </li>
 <li>
 Manufacturing &amp; Supply Chain (M&amp;S): We optimize the end-to-end manufacturing and supply chain with cutting-edge AI. Our team works closely with supply chain champions across Fortune 500 companies to drive impact: from helping pharmaceutical companies to avoid out-of-stocks to reducing machine breakdown in consumer good factories. Our solutions consist of a mix of statistical, machine learning, GenAI, Knowledge Graph, and agentic techniques to tackle challenges such as low signal demand forecasting, explainability for supply chain autonomy, and providing detailed actionable recommendations based on a mix of textual, image, and structured data.
 </li>
 <li>
 Research &amp; Development (R&amp;D): We are passionate about clinical operations and portfolio management. Our team partners closely with pharmaceutical and biotech companies to deliver innovative AI-driven solutions that optimize clinical trial recruitment and accelerate pipeline innovation. Some of the exciting use cases we&rsquo;ve worked on include predicting patient enrollment, optimizing trial design, building knowledge graphs across the pharma ecosystem, and more.
 </li>
 <li>
 Cross-Functional (XF): this team addresses critical business areas that extend beyond the scope of our other specialized domains. We apply AI to diverse functions spanning procurement, people analytics, commercial operations, and more - developing solutions that transform these essential but often underserved areas. By focusing on these complementary business functions, we ensure our AI platform delivers comprehensive value across the entire enterprise, helping organizations unlock insights and efficiencies in every corner of their operations.
 
 
 </li>
 </ul>
 
 Your profile
 
 
 
 
 Core Responsibilities And Skills (by Seniority)
 
 
 
 
 Mid Data Scientist &ndash; 3+ years
 
 
 
 <ul>
 <li>
 Build and maintain AI-driven features (forecasting, classification, regression, recommender systems, LLM-powered features) for business use cases
 </li>
 <li>
 Contribute to app features with guidance from mid/senior teammates; improve models, pipelines, and deliverables
 </li>
 <li>
 Present results and findings to your team; identify gaps and learn to explain the product and the AI behind it.
 </li>
 <li>
 Deliver assigned tasks autonomously and on time with clear ownership
 </li>
 <li>
 Have strong Python/SQL skills, basic MLOps knowledge (Airflow, MLflow, unit testing), and solid ML fundamentals
 </li>
 <li>
 Own features of the app; constantly improve models, pipelines and monitoring to ensure robust production performance
 </li>
 <li>
 Communicate and align with internal stakeholders; identify opportunities and explain AI behind business outcomes
 </li>
 <li>
 Design end-to-end ML pipelines for small projects; mentor junior team members on technical topics
 
 
 </li>
 </ul>
 
 Senior/Lead Data Scientist &ndash; 4+ years
 
 
 
 <ul>
 <li>
 All of the above +
 </li>
 <li>
 Have comprehensive MLOps expertise, advanced Python/SQL skills, and domain specialization; enforce code quality standards across the team
 </li>
 <li>
 Own key features and projects; design and improve models, pipelines, and experimentation frameworks
 </li>
 <li>
 Lead 1+ major projects as AI lead with full accountability; break down work, assign tasks, and manage multiple workstreams with stakeholder alignment
 </li>
 <li>
 Communicate and align with internal/external stakeholders; turn business requirements into AI solutions; make speed vs. quality trade-offs
 </li>
 <li>
 Provide technical mentorship; set modeling standards and drive cross-functional delivery with PMs, engineers, and customers
 
 
 </li>
 </ul>
 
 Principal Data Scientist &ndash; 6+ years
 
 
 
 <ul>
 <li>
 All of the above +
 </li>
 <li>
 Have deep expertise in one technical area; lead by example on technical excellence, business acumen, and strategic vision
 </li>
 <li>
 Define and own AI domain roadmaps; transform ambiguous business challenges into structured action plans with clear milestones and dependencies
 </li>
 <li>
 Lead 5+ simultaneous projects across multiple workstreams; shape product strategy with PM/Eng; manage risks and ensure timely, high-quality releases
 </li>
 <li>
 Demonstrate strong business acumen: estimate AI solution impact on KPIs and business outcomes; identify domain-wide opportunities and influence strategy
 </li>
 <li>
 Provide leadership for the Data Science team: mentor and manage; define standards; drive impactful cross-functional delivery; empower team members
 
 
 </li>
 </ul>
 
 
 Who we&rsquo;re looking for (all levels)
 
 
 
 
 <ul>
 <li>
 Someone who thrives at the intersection of business, analytics, and AI and wants to ensure AI solves the right problems with measurable impact.
 </li>
 <li>
 A scientist and builder: you explore multiple approaches, analyze results, and iterate fast, balancing cutting‑edge techniques with simple, scalable solutions.
 </li>
 <li>
 A strong communicator who adapts the message to different audiences and enjoys working cross‑functionally with product, engineering, and business stakeholders.
 </li>
 <li>
 Someone with a startup mindset: comfortable with ambiguity, proactive, and hands‑on when something needs fixing or improving.
 </li>
 <li>
 Ready to Lead Boldly &ndash; helping business leaders make decisive decisions powered by real-time AI insights
 </li>
 <li>
 Applicants must already have the legal right to work in Spain
 
 
 </li>
 </ul>
 
 
 Location &amp; details
 
 
 
 
 <ul>
 <li>
 Locations: Dubai
 </li>
 <li>
 Contract type: Permanent.
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 LEARN MORE
</div>

Principal/Senior/Mid - Data Scientist – Dubai

Envision Employment Solutions

<div>Envision Employment Solutions is currently hiring a Lead Data Scientist for one of our partners, a global leader in IT Services and IT Consulting.
Job Summary:
We are seeking a visionary AI leader to drive enterprise-scale AI strategy, architecture, and delivery. This role requires deep expertise in large language models (LLMs), AI governance, and production-grade ML platforms, combined with strong leadership and executive communication capabilities.
The ideal candidate has extensive experience building and scaling enterprise AI ecosystems and leading multidisciplinary teams across complex environments.
Responsibilities:
Strategic AI Leadership<ul><li>
Define and drive AI roadmaps aligned with corporate strategy</li><li>
Oversee the full model lifecycle from research and experimentation to production deployment</li><li>
Ensure measurable ROI and business impact from AI initiatives</li></ul>
LLM &amp; NLP Architecture (Enterprise Level)<ul><li>
Design LLM ecosystems including RAG pipelines, orchestration layers, and fine-tuning strategies</li><li>
Lead domain-specific model fine-tuning and pretraining using proprietary datasets</li><li>
Integrate platforms such as Azure OpenAI, AWS Bedrock, Anthropic Claude, and Google Vertex AI</li><li>
Define governance, compliance, and security frameworks for LLM deployments</li><li>
Establish evaluation standards for hallucination rate, factual accuracy, bias, and toxicity</li></ul>
Infrastructure &amp; Governance<ul><li>
Own data governance policies and feature store strategy</li><li>
Lead model observability, monitoring, and drift management frameworks</li><li>
Partner with DevOps and Security to ensure scalability, resilience, and compliance</li></ul>
Team &amp; Stakeholder Leadership<ul><li>
Build and lead multidisciplinary AI teams including Data Scientists, ML Engineers, and Data Engineers</li><li>
Mentor senior scientists and define research best practices</li><li>
Communicate directly with executive leadership and non-technical stakeholders</li><li>
Evaluate AI vendors and technology partnerships</li></ul> 

Requirements 
Qualifications:<ul><li>
Master&rsquo;s or PhD in AI, Machine Learning, Computer Engineering, or Applied Math or a related field</li><li>
Minimum 7 years of overall professional experience</li><li>
At least 2+ years in AI/ML leadership roles</li><li>
Proven ability to build and scale enterprise-level AI/LLM platforms.</li></ul>
Leadership Competencies<ul><li>
Visionary mindset driving innovation across business units.</li><li>
Excellent executive communication and influence skills.</li><li>
Focused on measurable ROI, scalability, and ethical AI.</li><li>
Mentors senior scientists, defining best practices and research direction.</li></ul> 

Benefits 
Benefits &amp; Work Setup<ul><li>
Basic salary</li><li>
Family Medical Insurance</li><li>
Round-trip family flight tickets once per year</li><li>
Visa coverage</li><li>
Location: Dubai</li><li>
Work Model: Hybrid &ndash; 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client&rsquo;s premises on a daily basis, depending on the project requirements.</li><li>
Working Hours: 9 AM to 6 PM</li><li>
Days Off: Saturdays and Sundays</li></ul></div>

Lead Data Scientist

talabat

<div>
 Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
 
 
 We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
 
 
 Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.
 
 
 
 
 Job Description
 
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 As a data scientist on the algorithms track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data through building machine learning models at scale. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation.
 
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
 </li>
 <li>
 Solving complex business problems using the simplest most appropriate Algorithms to deliver business value.
 </li>
 <li>
 Designing and implementing effective and impactful machine learning systems in production.
 </li>
 <li>
 Developing a deep understanding of the product experiences and business processes that make up your area of focus.
 </li>
 <li>
 Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
 </li>
 <li>
 Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
 </li>
 <li>
 Working closely with product and business teams to identify important questions that can be answered effectively with data.
 </li>
 <li>
 Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.
 </li>
 <li>
 Designing, planning, and analyzing experiments (A/B and multivariate tests).
 </li>
 <li>
 Supporting product and business managers with KPI design and goal setting.
 </li>
 <li>
 Mentoring other data scientists in their growth journeys.
 </li>
 <li>
 Contributing to improving our ways of work, our tooling, and our internal training programs.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 
 Technical Experience
 
 
 
 <ul>
 <li>
 Experience in machine learning, deep learning, recommendation/personalization systems, pattern recognition, data mining and artificial intelligence.
 </li>
 <li>
 Deep knowledge and experience in ML algorithms and frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch ...).
 </li>
 <li>
 Excellent SQL.
 </li>
 <li>
 Competence with reproducible data analysis using Python or R.
 </li>
 <li>
 Familiarity with data modeling and dimensional design.
 </li>
 <li>
 Strong command over the entire data lifecycle including; problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
 </li>
 <li>
 Familiarity with different types of analysis including; descriptive, exploratory, inferential, causal, and predictive analysis.
 </li>
 <li>
 Deep understanding of the various experiment design and analysis workflows and the corresponding statistical techniques.
 </li>
 <li>
 Familiarity with product data (impressions, events, ..) and product health measurement (conversion, engagement, retention, ..).
 </li>
 <li>
 Familiarity with BigQuery and the Google Cloud Platform is a plus.
 </li>
 <li>
 Data engineering and data pipeline development experience (e.g. via Airflow)
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
 </li>
 <li>
 6+ years of experience working in data science, machine learning, and Gen AI.
 </li>
 <li>
 Experience doing data science in an online consumer product setting is a plus.
 </li>
 <li>
 A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.
 </li>
 <li>
 An excellent collaborator.
 </li>
 <li>
 An excellent communicator.
 </li>
 <li>
 A strong sense of ownership and accountability.
 </li>
 <li>
 A &lsquo;keep it simple&rsquo; approach to #makeithappen.
 </li>
 </ul>
</div>

Staff Data Scientist, Algorithms, ML

AECOM

<div>Company Description 
Work with Us. Change the World.
At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world&rsquo;s most complex challenges and build legacies for future generations.
There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.
We're one global team driven by our common purpose to deliver a better world. Join us. 
Job Description 
This opportunity is part of AECOM&rsquo;s Fursa Program and open exclusively to UAE Nationals holding a valid family book.
Join AECOM's 2026 Graduate Program
AECOM is seeking a highly motivated and skilled Data Scientist to support our Quantity Surveying and Cost Management teams in the Dubai, UAE office. The candidate will play a pivotal role in leveraging digital tools and technologies to enhance project efficiency, accuracy, and data-driven decision-making. This role is ideal for someone with a passion for digital innovation in the construction sector and wants to be a part of the success of the creation and implementation of planned and future digital initiatives.
As part of AECOM&rsquo;s commitment to Emiratisation and in accordance with UAE labour law, only UAE Nationals with a family book will be considered for this role
Key Responsibilities<ul><li>
Digital Support for quantity surveying and cost management teams:<ul><li>
Collaborate with quantity surveyors to ensure seamless integration of digital workflows into traditional practices.</li><li>
Enhance and support cost planning, cost control, and value engineering processes using digital platforms.</li><li>
Maintain and update databases, ensuring accurate and up-to-date information for project teams.</li><li>
Generate information rich reports and dashboards using data visualization tools.</li></ul></li><li>
Data Management &amp; Analysis:<ul><li>
Collect, organize, and analyze project data to provide actionable insights for cost management.</li><li>
Develop and maintain digital templates, workflows, and automation scripts to improve efficiency.</li><li>
Ensure data integrity and compliance with company standards and protocols.</li></ul></li><li>
Technology Implementation:<ul><li>
Provide training and technical support to team members on digital tools and processes.</li><li>
Stay updated on emerging technologies and recommend innovative solutions to enhance project delivery.</li><li>
Support cross-functional teams in adopting digital practices and fostering a culture of innovation.</li></ul></li></ul> 
Qualifications 
<ul><li>
UAE Nationals with a family book.</li><li>
A degree or diploma in a relevant field such as Quantity Surveying, Digital Engineering, Software Engineering, Computer Science, Data Analytics and the like</li><li>
An understanding of common construction industry digital tools like BIM authoring and management software (e.g., Revit, Navisworks, ACC, Solibri, Aconex), CostX, or similar platforms.</li><li>
Advanced skills in Python, SQL, data visualization tools (e.g., Power BI), and other relevant software.</li><li>
Excellent analytical and problem-solving skills.</li><li>
Strong communication and teamwork abilities.</li><li>
Experience with programming and developing automation tools with Dynamo, Python, VBA or similar scripting languages.</li><li>
The ideal candidate would have experience working in teams to deliver complex projects with multiple stakeholders.</li><li>
Effective communicate, including speaking to groups and providing training sessions from time to time would be required.</li><li>
Well established organization and time management skills</li><li>
Confident to engage and positively challenge with other team members across disciplines and of different seniorities</li><li>
Be inclusive and supportive and contribute to a positive and productive team environment</li></ul> 

Additional Information<div></div> 
About AECOM
AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&amp;D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.
AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients&rsquo; complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle &ndash; from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2024. Learn more at aecom.com.
What makes AECOM a great place to work
You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you&rsquo;ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you&rsquo;ve always envisioned. Here, you&rsquo;ll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity.
As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.</div>

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