data analysis and digital integration specialist (arabic speaker)

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contact center analytics & ai lead Jobs in Dubai

contact center analytics & ai lead

data analysis and digital integration specialist (arabic speaker) Jobs in Dubai

data science lead

BlackStone eIT

<div>
 BlackStone eIT is on the lookout for a skilled
 
 Contact Center Analytics &amp; AI Lead
 
 to spearhead our analytics initiatives and artificial intelligence strategies within our contact center operations. In this impactful role, you will leverage data analytics and AI technologies to enhance customer experiences, optimize operations, and drive data-driven decision-making.
 
 
 As the Contact Center Analytics &amp; AI Lead, you will be responsible for developing and implementing advanced analytical models, AI solutions, and performance metrics that provide insights into customer interactions, agent performance, and operational efficiency. Your expertise will be essential in creating a culture of innovation and continuous improvement in our contact center.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design and implement analytics frameworks and AI solutions to improve customer experience and operational effectiveness
 </li>
 <li>
 Analyze customer interaction data to identify trends, patterns, and areas for improvement
 </li>
 <li>
 Develop predictive models to enhance agent performance and customer satisfaction
 </li>
 <li>
 Lead initiatives to integrate AI technologies such as chatbots, natural language processing, and machine learning to optimize workflows
 </li>
 <li>
 Collaborate with cross-functional teams to ensure alignment of analytics initiatives with business objectives
 </li>
 <li>
 Provide insights and strategic recommendations based on data analysis to inform decision-making at all levels
 </li>
 <li>
 Monitor and report on key performance indicators (KPIs) related to contact center effectiveness
 </li>
 <li>
 Stay current with industry trends, tools, and methodologies in analytics and AI applications
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Business Analytics, Computer Science, or a related field; Master's degree preferred
 </li>
 <li>
 7+ years of experience in analytics within a contact center or customer service environment
 </li>
 <li>
 Proven experience with AI technologies and their applications in customer service
 </li>
 <li>
 Strong analytical skills with expertise in statistical analysis, data mining, and predictive modeling
 </li>
 <li>
 Proficient in analytical tools and programming languages (e.g., Python, R, SQL, Tableau, or similar)
 </li>
 <li>
 Experience with machine learning algorithms and techniques
 </li>
 <li>
 Excellent communication skills, able to present insights clearly to both technical and non-technical audiences
 </li>
 <li>
 Strong project management skills and ability to lead cross-functional teams
 </li>
 <li>
 Knowledge of customer experience metrics and industry best practices
 </li>
 <li>
 Passion for utilizing data and technology to drive successful outcomes in customer service
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Remote Model
 </li>
 <li>
 Time Flexibility
 </li>
 <li>
 Relocation after 6months based on performance
 </li>
 </ul>
</div>

Contact Center Analytics & AI Lead

<div>BlackStone eIT is on the lookout for a skilled Contact Center Analytics &amp; AI Lead to spearhead our analytics initiatives and artificial intelligence strategies within our contact center operations. In this impactful role, you will leverage data analytics and AI technologies to enhance customer experiences, optimize operations, and drive data-driven decision-making.
As the Contact Center Analytics &amp; AI Lead, you will be responsible for developing and implementing advanced analytical models, AI solutions, and performance metrics that provide insights into customer interactions, agent performance, and operational efficiency. Your expertise will be essential in creating a culture of innovation and continuous improvement in our contact center.<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul>
<li>Design and implement analytics frameworks and AI solutions to improve customer experience and operational effectiveness.</li>
<li>Analyze customer interaction data to identify trends, patterns, and areas for improvement.</li>
<li>Develop predictive models to enhance agent performance and customer satisfaction.</li>
<li>Lead initiatives to integrate AI technologies such as chatbots, natural language processing, and machine learning to optimize workflows.</li>
<li>Collaborate with cross-functional teams to ensure alignment of analytics initiatives with business objectives.</li>
<li>Provide insights and strategic recommendations based on data analysis to inform decision-making at all levels.</li>
<li>Monitor and report on key performance indicators (KPIs) related to contact center effectiveness.</li>
<li>Stay current with industry trends, tools, and methodologies in analytics and AI applications.</li>
</ul>Requirements<ul>
<li>
Bachelor&rsquo;s degree in Data Science, Business Analytics, Computer Science, or a related field; Master&rsquo;s degree preferred.</li>
<li>7+ years of experience in analytics within a contact center or customer service environment.</li>
<li>Proven experience with AI technologies and their applications in customer service.</li>
<li>Strong analytical skills with expertise in statistical analysis, data mining, and predictive modeling.</li>
<li>Proficient in analytical tools and programming languages (e.g., Python, R, SQL, Tableau, or similar).</li>
<li>Experience with machine learning algorithms and techniques.</li>
<li>Excellent communication skills, able to present insights clearly to both technical and non-technical audiences.</li>
<li>Strong project management skills and ability to lead cross-functional teams.</li>
<li>Knowledge of customer experience metrics and industry best practices.</li>
<li>Passion for utilizing data and technology to drive successful outcomes in customer service.</li>
</ul>
Benefits<ul>
<li>Remote Model</li>
<li>Time Flexibility
</li><li>Relocation after 6months based on performance</li></ul></div>

Al-Futtaim

<div>Job Requisition ID: 175861

Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.

By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day 
Overview Of The Role: 
<ul>
<li>The Data &amp; Analytics Lead is pivotal in developing and executing the data and AI enablement strategy for Al-Futtaim Financial Services (AFF), Hertz, and international businesses, aligning all initiatives with the digital transformation roadmap. The role bridges business, technology, and AI innovation, focusing on creating a unified, governed, and scalable data ecosystem. By leading the design and delivery of the AI-enabled data and analytics platform, the role aims to offer product-level profitability, portfolio insights, and operational excellence. This involves driving various analytics deliveries and building an internal AI capability crucial for automation, decision intelligence, and customer insights.</li></ul> 

What You Will Do: 
<h4 class="jobSectionHeader">
Data Strategy and Enablement</h4> 

<ul>
<li>Lead the Data &amp; AI Enablement agenda by defining and executing the data strategy aligned with the Group CDO and Digital Transformation plan.</li>
<li>Design and deliver the AI-enabled Data platform by establishing data pipelines and governance frameworks for AFF, Hertz, and related businesses.</li>
<li>Build AI capability by developing internal data science and ML delivery capabilities for use cases like credit risk, pricing, fraud detection, and collections optimization.</li></ul> 

<h4 class="jobSectionHeader">
Data Governance and Compliance</h4> 

<ul>
<li>Implement policies, metadata management, lineage, and quality frameworks aligned with Group data leads.</li>
<li>Ensure data governance score achieves 95% with zero critical audit findings.</li></ul> 

<h4 class="jobSectionHeader">
Analytics and BI Delivery</h4> 

<ul>
<li>Drive data analytics platform adoption, ensuring implementation of executive dashboards covering profitability, equity, RoE, and self-service analytics for business teams.</li>
<li>Aim for BI adoption rate of 80% with reduction in manual reports.</li></ul> 

<h4 class="jobSectionHeader">
Collaboration and Partnership Management</h4> 

<ul>
<li>Collaborate with Group &amp; Divisional teams to ensure synergy with AFS&amp;TD, GTDP, EIB and initiatives to avoid duplication and ensure reuse of shared data assets.</li>
<li>Manage relationship with data engineering vendors, AI partners, and Group shared services (infrastructure, security) with SLA adherence of 95% and cost efficiency within budget.</li></ul> 
 
Required Skills To Be Successful: 
<ul>
<li>Strong technical knowledge of Azure Data Factory, Power BI, SQL, and Fabric Lakehouse.</li>
<li>Familiarity with Python and ML frameworks such as Scikit-learn and Azure ML for model deployment.</li>
<li>Experience establishing and enforcing data governance towards certified data concepts, lineage, and quality frameworks.</li>
<li>Deep understanding of financial product data models, including Portfolio, Profitability, and RoE.</li></ul> 
 
What Equips You For The Role: 
<ul>
<li>10+ years in Data &amp; Analytics roles with at least 5 years in leadership capacity.</li>
<li>Hands-on experience designing and delivering fully AI enabled data platforms.</li>
<li>Proven experience in AI/ML delivery, such as credit risk, pricing, and customer analytics, including building digital twins.</li>
<li>Track record of managing data engineering and BI delivery teams, both internal and vendor.</li></ul> 
About Al-Futtaim Group Real Estate 
The real estate development and operations arm of Al-Futtaim, Al-Futtaim Group Real Estate is responsible for a multi-billion-dollar portfolio across MENA. With high-quality residential, business, retail, tourism, educational and healthcare developments, the master developer caters to the diverse needs of cities and communities in the region. From origination, conception, development, sales, procurement and construction of mega-projects and the leasing, operation and management of these projects after completion, Al-Futtaim Group Real Estate (AFGRE) has been developing and managing owned landbanks, unlocking the economic potential of the region and contributing to future development for more than 40 years. 
Our focus is to enable and invest in meaningful relationships to make our properties the best places to live and work, build additional products and services and enable partnerships to create true value to our customers throughout their entire experience with us. 
AFGRE is responsible for master planning of all projects in its portfolio, including two large scale mixed use destinations: Dubai Festival City and Cairo Festival City.
About Al-Futtaim Malls 
Al-Futtaim Malls provides development and asset management expertise, specializing in building retail-led super regional malls in prime locations across MENA and beyond. With a proven track record of creating both sustainable revenue growth and value enhancement for tenants, Al-Futtaim Malls delivers exceptional experiences and exciting shopping environments for customers.
Part of the Al-Futtaim Group, Al-Futtaim Malls leadership team brings more than 30 years of experience and a deep understanding and knowledge of the retail sector, both from a shopper&rsquo;s point of view but as curators of space or landlords to other brands. The company has a directly managed portfolio including over 9 million sqft of retail space across four malls in the MENA region and two under development. Malls under the Al-Futtaim Malls portfolio include Dubai Festival City Mall and Festival Plaza in the UAE, Cairo Festival City Mall in Egypt, Doha Festival City in Qatar and Zenata Mall, Morocco.
Leveraging on the expertise of its parent company, Al-Futtaim Malls established PLEX Management Services offering a full array of services including asset management and development, leasing, and brand experience expertise to shopping mall landlords and retail organizations globally. Implementing global best practice and deploying Al-Futtaim Mall&rsquo;s deep understanding of mall management and retail dynamics, PLEX promises to deliver continuous growth and long-term value for its partners.
For more information on Al-Futtaim Malls, please visit https://www.al-futtaimmalls.com/
About Al-Futtaim Engineering &amp; Technologies 
Al-Futtaim Engineering &amp; Technologies offers customers complete engineering and systems integration solutions. 
 
The Engineering arm operates in the UAE, Qatar, Saudi Arabia and Egypt providing a wide variety of products and services from air conditioning, scaffolding and access solutions, elevators and escalators, control and life safety, facilities management, building products, MEP, Energy Management, Technology Infrastructure and Digital Transformation. 
 
The Technologies division provides complete business solutions to large, medium and small customers that include, contact centre solutions, business applications, business intelligence, data management, advanced analytics amongst others. The IT infrastructure portfolio comprises IP telephony, ELV systems, networking solutions, professional audio-visual solutions and managed services. 
 
These solutions are further complemented by services that include project management, installation, testing, commissioning and after-sales maintenance contracts.</div>

Data & Analytics Lead

Envision Employment Solutions

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 & 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 & 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 & 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’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 & 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 – 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client’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>

Lead Data Scientist

<div>Job Requisition ID: 176277

Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United A&rdquo;rab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.

By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day. 


Overview of the role: 


The Head of Data Science &amp; Asset Risk owns the end-to-end analytics, forecasting and risk intelligence that protects and optimizes Al-Futtaim&rsquo;s automotive and financial services portfolio. 
This role is accountable for turning data, AI and market intelligence into financial outcomes, ensuring that pricing, leasing, provisioning, capital allocation and portfolio strategy are driven by forward-looking, explainable and regulator-ready models.

The position operates at the intersection of CFO-level financial control, CRO-level risk management and CDO-level analytics leadership, supporting executive and Board decision-making across the group. 


What you will do: 


The role is responsible for the full lifecycle of assets and market intelligence, from data to financial decision-making. 
This includes:
<ul>
<li>Owning all Residual Value, used-car pricing and market forecasting used across the business</li>
<li>Maintaining authoritative market indices, price curves and forward-looking scenarios for all brands, powertrains and segments</li>
<li>Defining and enforcing the Asset Risk Framework covering market risk, EV transition risk, concentration risk and volatility</li>
<li>Providing risk-driven inputs to IFRS9, provisions, ECL and capital planning</li>
<li>Ensuring all models are auditable, explainable and regulator-ready</li></ul> 
 
The Head of Data Science &amp; Asset Risk acts as the single source of truth for:
<ul>
<li>Portfolio value</li>
<li>Forward price risk</li>
<li>Stress scenarios</li>
<li>Financial impact of market movements</li>
</ul>
This role chairs the Residual Value &amp; Risk Committees, translating complex analytics into clear financial actions for the CFO, CRO and Executive Management. 


Strategic &amp; Commercial Impact 
The role directly influences:
<ul>
<li>Vehicle pricing and lease structures</li>
<li>Portfolio profitability and risk appetite</li>
<li>Provisioning and capital allocation</li>
<li>OEM negotiations and product launches</li>
<li>Remarketing and stock strategy</li>
</ul>
Decisions supported by this function materially impact P&amp;L, balance sheet and return on assets. 


Technology, Data &amp; AI Ownership 
The role owns the group&rsquo;s AI-driven asset intelligence platform, including:
<ul>
<li>Data pipelines across Brands, dealers, auctions, web and internal systems</li>
<li>Forecasting, valuation and risk models</li>
<li>Executive dashboards and real-time reporting 
The mandate is to continuously replace external vendors and manual processes with in-house, scalable AI, delivering higher accuracy, faster decisions and material cost savings.</li></ul> 


Leadership &amp; Governance 
The Head of Data Science &amp; Asset Risk:
<ul>
<li>Leads a senior team of Data Scientists and Analytics specialists</li>
<li>Defines modelling standards, governance and validation</li>
<li>Ensures outputs are trusted by Finance, Risk and Commercial tems</li>
<li>Acts as the group&rsquo;s technical authority on asset valuation and risk.</li></ul> 


Required Skills to be successful: 

<ul>
<li>Deep hands-on technical and analytical expertise, including Python, SQL, large-scale data extraction, and building advanced statistical and machine-learning models.</li>
<li>Ability to turn data into actionable insight, translating complex analysis into clear decisions with measurable business impact.</li>
<li>Strong data governance and risk discipline, ensuring models are explainable, controlled, and suitable for regulated environments.</li>
<li>Proven leadership and executive influence, able to build scalable teams and drive adoption at the senior-management level.</li></ul> 


About the Team: 

<ul>
<li>You will be reporting to Chief Risk Officer</li></ul> 


What equips you for the role: 

<ul>
<li>10+ years in Statistics, Data Science, Risk, Pricing, Forecasting or Financial Modelling</li>
<li>Experience in automotive, asset finance, banking, insurance or large portfolios</li>
<li>Proven ownership of P&amp;L-critical models</li>
<li>Strong background in IFRS9, ECL, stress testing or portfolio risk</li>
<li>Comfortable operating at CFO, CRO and Board level</li></ul> 
We&rsquo;re here to provide excellent service but a little help from you can ensure a five-star candidate experience from start to finish. 

Before you click &ldquo;apply&rdquo;: Please read the job description carefully to ensure you can confidently demonstrate why this opportunity is right for you and take the time to put together a well-crafted and personalised CV to further boost your visibility. Our global Talent Acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our Values of Respect, Integrity, Collaboration, and Excellence. 

As part of our candidate experience promise, we also want to make ourselves available to you throughout the application process. We make every effort to review and respond to every application.</div>

Head of Data Science & Asset Risk

Envision Employment Solutions is currently hiring a Senior Data Scientist for one of our partners, a global leader in IT Services and IT Consulting.
 
Job Summary: 
We are seeking a highly experienced Senior Data Scientist to design, build, and deploy advanced machine learning and NLP solutions, including large language model applications. The ideal candidate has strong production experience, deep expertise in transformer-based architectures, and a proven ability to lead technical initiatives from research to deployment.
 
Responsibilities: 
Machine Learning & NLP Development
 <ul>
<li>Design and develop end-to-end machine learning models, with a strong focus on NLP applications</li>
<li>Fine-tune and deploy large language models such as GPT, BERT, and LLaMA for specific use cases</li>
<li>Build, train, and evaluate deep learning models using TensorFlow, PyTorch, or Keras</li>
<li>Implement Retrieval-Augmented Generation (RAG) and embedding-based semantic search solutions</li>
<li>Develop and optimize transformer-based models for summarization, Q&A, and document intelligence tasks</li>
<li>Evaluate and optimize prompt engineering strategies and context efficiency</li>
</ul>
Data Engineering & Pipelines
 <ul>
<li>Develop data pipelines using tools such as Airflow, Spark, or Dataiku</li>
<li>Perform data wrangling and preprocessing using pandas and NumPy</li>
<li>Design and manage feature stores</li>
<li>Integrate and manage vector databases such as Pinecone, FAISS, or Chroma</li>
</ul>
Model Deployment & Production
 <ul>
<li>Build and maintain RESTful APIs for serving ML models in production</li>
<li>Deploy scalable AI services and manage CI/CD pipelines</li>
<li>Monitor model performance, drift detection, and lifecycle management</li>
<li>Conduct A/B testing, ensemble blending, and apply explainability techniques such as SHAP and LIME</li>
</ul>
Statistical & Analytical Expertise
 <ul>
<li>Apply advanced statistics, probability theory, and experimental design</li>
<li>Conduct hypothesis testing and data-driven analysis to support business decisions</li>
</ul>
Collaboration & Integration
 <ul>
<li>Work closely with product and engineering teams to embed AI solutions into production systems</li>
<li>Collaborate with cross-functional stakeholders to deliver scalable AI capabilities</li>
</ul>
Requirements: 
Qualifications: 
<ul>
<li>Bachelor’s or Master’s degree in Data Science, Artificial Intelligence, Computer Science, or related field</li>
<li>Minimum 4 years of experience in machine learning and data science roles</li>
<li>Proven track record of delivering production-grade ML and NLP projects</li>
<li>Experience leading small data science teams or technical workstreams</li>
</ul>
Technical Requirements
 <ul>
<li>Strong programming skills in Python and R</li>
<li>Proficiency in ML libraries including Scikit-learn, pandas, and NumPy</li>
<li>Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras</li>
<li>Hands-on experience with NLP libraries including NLTK, spaCy, TextBlob, and Hugging Face Transformers</li>
<li>Strong expertise in transformer architectures and LLM fine-tuning</li>
<li>Experience using LangChain or LlamaIndex for orchestration</li>
<li>Experience deploying ML models via RESTful APIs</li>
<li>Knowledge of model monitoring, explainability, and performance optimization</li>
</ul>
Leadership and Soft Skills
 <ul>
<li>Ability to lead small teams or project workstreams</li>
<li>Strong ownership mindset with focus on quality and delivery timelines</li>
<li>Ensures alignment of technical work with business KPIs</li>
<li>Coaches and mentors mid-level team members</li>
<li>Strong problem-solving and collaboration skills</li>
</ul>
Benefits: 
Benefits & 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 – 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client’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>

Senior Data Scientist

SilentEight

<div>At Silent Eight, we develop our own AI-based products to combat financial crimes that enable things like money laundering, the financing of terrorism, and systemic corruption. We&rsquo;re a leading RegTech firm working with large international financial institutions such as Standard Chartered Bank and HSBC. Join us and help make the world a safer place! 
 
 
As a Data Scientist, you will own the end-to-end development of data solutions &mdash; from understanding business problems to deploying and maintaining models in production. You&rsquo;ll work closely with customers and internal teams to build impactful, scalable solutions using machine learning, NLP, and other advanced techniques.<h4 class="jobSectionHeader">
Responsibilities</h4><ul><li>
Lead the data science lifecycle, from discovery and exploration to delivery and customer hand-off.</li><li>
Translate ambiguous business problems into clear problem statements and deliver working, production-ready solutions.</li><li>
Partner with customers and internal stakeholders to co-design use cases, define success criteria, and ensure models are adopted and successful in production.</li><li>
Build quick, iterative prototypes to test ideas, and work cross-functionally to deploy validated solutions into production environments.</li><li>
Own and improve pipelines for data integration, validation, and monitoring, ensuring long-term stability and performance.</li><li>
Analyze large-scale structured and unstructured datasets to extract insights and power model development.</li><li>
Apply machine learning, NLP, graph analytics, and other advanced techniques to solve challenging problems such as semantic search, or anomaly detection.</li><li>
Create and maintain internal data science tooling to streamline experimentation, testing, and delivery.</li><li>
Support internal teams and customers with issue resolution, ensuring data science solutions continue to deliver value post-deployment.</li><li>
Follow and advocate for best practices in MLOps, DataOps, and clean code to ensure reproducibility, maintainability, and scalability.</li></ul><h4 class="jobSectionHeader">
Requirements</h4><ul><li> 
Based in the United Arab Emirates (remote-first team; flexible working environment).</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.</li><li>
3-5 years of demonstrated experience with LLM technologies (LangChain, LlamaIndex, OpenAI APIs, etc.) and building NLP applications.</li><li>
Deep proficiency in Python: you write clean, modular, maintainable, and testable code suitable for real-world deployments.</li><li>
Solid SQL skills and hands-on experience with large-scale data (e.g., PySpark, BigQuery).</li><li>
Skilled in graph analysis, machine learning, and unstructured data workflows.</li><li>
Demonstrated ability to apply software engineering best practices (e.g., modular design, clean code, unit testing, CI/CD) in data science and machine learning projects, ensuring production-readiness and maintainability.</li><li>
Ability to drive end-to-end initiatives, from exploration to delivery, where solutions must be state-of-the-art, business-aligned, and regulatory-compliant.</li><li>
Comfortable working in Linux environments and using collaborative tools (e.g., Git, Docker).</li><li>
Strong communication skills&mdash;translate technical complexity into actionable business narratives, driving clarity, alignment, and decision-making across all levels of the organization.</li><li>
Mindset of ownership: you&rsquo;re excited to see projects through, from first prototype to deployed, customer-facing solution.</li></ul><h4 class="jobSectionHeader">
We offer:</h4><ul><li>
Full time employment</li><li>
Employee benefits</li><li>
Work-life balance: flexible working hours, remote work forever</li><li>
Career growth: Promotion and great development opportunities within the organization</li></ul></div>

Data Scientist

Explore 3000+ Data science lead in Dubai this March. Find roles across top companies and apply now to boost your career.

3000 data science lead jobs In Dubai

Contact Center Analytics & AI Lead

Contact Center Analytics & AI Lead

Data & Analytics Lead

Lead Data Scientist

Head of Data Science & Asset Risk

Senior Data Scientist

Data Scientist