data analyst

data scientist

data engineer

senior data scientist

lead generation specialist

lead data scientist

Digital Corner for Network Solutions

AboutThis opportunity is for a leading Energy &amp; Gas giant in the UAE. We are seeking a Lead Data Scientist to champion the use of AI and analytics within the organization. You will provide technical leadership, mentor a team of data scientists, and define the strategic direction for high-impact analytics projects.Responsibilities<ul><li>Lead and manage data science projects from conception to deployment, ensuring alignment with business goals.</li><li>Mentor and guide junior and intermediate data scientists, fostering a culture of technical excellence and innovation.</li><li>Interface with senior stakeholders to identify high-value use cases and define the scope of analytics initiatives.</li><li>Oversee the selection of appropriate methodologies and algorithms for complex projects.</li><li>Review code and models developed by the team to ensure quality and robustness.</li><li>Drive the adoption of best practices in data science, including reproducibility and documentation.</li><li>Stay abreast of the latest industry trends and technologies in AI/ML and assess their potential impact on the business.</li></ul>Requirements<ul><li>Experience: 5&ndash;15+ Years.</li><li>Extensive experience in developing and deploying machine learning solutions in a corporate environment.</li><li>Proven leadership experience, with the ability to manage teams and projects effectively.</li><li>Deep theoretical and practical knowledge of machine learning and statistics.</li><li>Strong communication and stakeholder management skills, with the ability to explain complex technical concepts to executive leadership.</li><li>Experience with project management methodologies (Agile, Scrum).</li></ul>Bonus<ul><li>Experience leading data science teams in the Oil &amp; Gas industry.</li><li>Track record of publishing technical papers or speaking at industry conferences.</li><li>Strong business acumen and understanding of energy market dynamics.</li></ul>Job Type: Full-timePay: AED12,000.00 - AED22,000.00 per month

Lead Data Scientist

Envision Employment Solutions

Envision Employment Solutions is currently looking for a Lead Data Scientist for one of our partners, a global leader in the IT Services and IT Consulting.
 
Requirements: 
<ul>
<li>Master’s or PhD in AI, Machine Learning, Computer Engineering, or Applied Math.</li>
<li>5+ years of experience in AI/ML strategy, leadership, and delivery.</li>
<li>Minimum of 12 years of experience is required</li>
<li>Proven ability to build and scale enterprise-level AI/LLM platforms.</li>
<li>Technical & Strategic Requirements</li>
<li>Strategic AI Leadership:</li>
<li>Defines and drives AI roadmaps aligned with corporate goals.</li>
<li>Oversees model lifecycle from experimentation to production.</li>
<li>LLM & NLP (Architect Level):</li>
<li>Designs LLM-based ecosystems with RAG pipelines, model orchestration, and fine-tuning strategies.</li>
<li>Leads fine-tuning or domain-specific pretraining using proprietary datasets.</li>
<li>Integrates Azure OpenAI, AWS Bedrock, Anthropic Claude, or Google Vertex AI into enterprise stacks.</li>
<li>Defines governance, compliance, and security standards for LLM deployments.</li>
<li>Oversees evaluation frameworks for hallucination rate, factual accuracy, and toxicity control.</li>
<li>Infrastructure & Governance:</li>
<li>Owns data governance policies, feature stores, and model observability infrastructure.</li>
<li>Collaborates with DevOps and Security to ensure scalability and resilience.</li>
<li>Team & Stakeholder Leadership:</li>
<li>Builds and manages multidisciplinary AI teams (Data Scientists, ML Engineers, Data Engineers).</li>
<li>Communicates directly with executive management and non-technical stakeholders.</li>
<li>Evaluates vendors and partnerships for AI acceleration.</li>
<li>Leadership Competencies</li>
<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>

Xenon7

<div>About us:
Where elite tech talent meets world-class opportunities!
At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today&rsquo;s most complex challenges.<h3 class="jobSectionHeader">
About the Client:</h3>
Join one of Egypt&rsquo;s premier financial institutions, renowned for its extensive suite of banking services, including Institutional Banking, Personal Banking, and Islamic Banking. With a global presence through over 50 branches and correspondents, we serve a diverse and dynamic clientele. As we embark on a groundbreaking digital transformation journey, we are committed to leveraging the latest technologies to establish a state-of-the-art data architecture that will redefine our performance and service delivery.
Requirements
Role Overview
We are seeking a Lead Data Scientist (Fintech / Banking) with 8+ years of experience to drive advanced analytics, machine learning initiatives, and data&#8209;driven decision&#8209;making across our fintech/banking product ecosystem. The ideal candidate has a strong track record of leading high&#8209;performing teams (5&ndash;10 members), delivering scalable ML solutions, and operating with high agility in fast&#8209;paced environments.
Key Responsibilities
Leadership &amp; Strategy<ul>
<li>
Lead, mentor, and grow a team of 5&ndash;10 data scientists and ML engineers.</li>
<li>Define the data science roadmap aligned with business, product, and engineering goals.</li>
<li>Drive end&#8209;to&#8209;end ownership of ML models &mdash; from ideation to deployment and monitoring.</li>
<li>Collaborate with cross&#8209;functional stakeholders (Product, Engineering, Risk, Compliance, Business).</li>
</ul>
Technical Execution<ul>
<li>
Build and optimize predictive models for credit risk, fraud detection, customer segmentation, churn prediction, and personalization.</li>
<li>Architect scalable ML pipelines using modern data platforms.</li>
<li>Conduct exploratory data analysis, feature engineering, and model validation.</li>
<li>Ensure model governance, fairness, explainability, and regulatory compliance (especially in BFSI).</li>
</ul>
Operational Excellence<ul>
<li>
Champion agile methodologies, rapid experimentation, and iterative delivery.</li>
<li>Implement best practices in versioning, CI/CD for ML, and model monitoring.</li>
<li>Translate complex data insights into clear, actionable business recommendations.</li>
</ul>
Required Skills &amp; Experience<ul>
<li>
8+ years of hands&#8209;on experience in Data Science, ML, or Applied AI.</li>
<li>Proven experience leading teams of 5&ndash;10 in high&#8209;velocity environments.</li>
<li>Strong background in fintech, digital banking, payments, lending, or risk analytics.</li>
</ul>
Expertise in:<ul>
<li>
Python, SQL</li>
<li>ML frameworks (TensorFlow, PyTorch, Scikit&#8209;Learn)</li>
<li>Cloud platforms (AWS, GCP, Azure)</li>
<li>MLOps tools (SageMaker, MLflow, Kubeflow, Airflow)</li>
<li>Deep understanding of statistical modeling, supervised/unsupervised learning, NLP, and time&#8209;series forecasting.</li>
<li>Experience working with large&#8209;scale data pipelines and distributed systems.</li>
<li>Strong communication skills with the ability to influence senior stakeholders.</li>
<li>High agility, ownership mindset, and a positive, collaborative attitude.</li>
</ul>
Preferred Qualifications<ul>
<li>
Experience in credit scoring, fraud analytics, or regulatory&#8209;grade model development.</li>
<li>Exposure to real&#8209;time decisioning systems.</li>
<li>Prior experience in startups or high&#8209;growth fintechs.</li>
</ul>
What We Offer<ul>
<li>
Opportunity to lead high&#8209;impact data science initiatives in a rapidly scaling fintech environment.</li>
<li>Cross&#8209;functional ownership and autonomy.</li>
<li>Competitive compensation and performance&#8209;based rewards.</li>
<li>Collaborative, innovation&#8209;driven culture.</li></ul></div>

Lead Data Scientist (Fintech / Banking)

<div>About us:
Where elite tech talent meets world-class opportunities!
At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today&rsquo;s most complex challenges.<h3 class="jobSectionHeader">
About the Client:</h3>
Join one of Egypt&rsquo;s premier financial institutions, renowned for its extensive suite of banking services, including Institutional Banking, Personal Banking, and Islamic Banking. With a global presence through over 50 branches and correspondents, we serve a diverse and dynamic clientele. As we embark on a groundbreaking digital transformation journey, we are committed to leveraging the latest technologies to establish a state-of-the-art data architecture that will redefine our performance and service delivery.
Position Overview
Seeking highly skilled and motivated Senior Data Scientists to join our growing team. In these roles, you will play a critical part in designing, developing, and delivering advanced data-driven solutions that drive key business decisions, while spearheading advanced analytics and machine learning initiatives across the bank.
Key Responsibilities<ul><li>Lead and mentor junior data scientists, providing technical guidance, code reviews, and career development support.</li><li>Analyze complex datasets to extract actionable insights using advanced statistical and machine learning techniques.</li><li>Build and optimize predictive models, recommendation systems, clustering models, and time-series forecasting solutions.</li><li>Collaborate with cross-functional teams including engineering, product, and business stakeholders to integrate data-driven solutions into production systems.</li><li>Collaborate with MLOps and Engineering teams to automate model deployment, monitoring, and retraining pipelines using tools such as MLflow, Airflow, or Kubeflow..</li><li>Translate analytical results into business KPIs and measure the impact of models on key financial and operational outcomes..</li><li>Explore emerging AI capabilities, including GenAI and LLM-based solutions for document analysis, knowledge retrieval, and customer interaction..</li><li>Write clean, maintainable code primarily in Python and SQL for data analysis, model development, and deployment.</li><li>Communicate findings and model performance clearly to technical and non-technical stakeholders through reports and presentations.</li><li>Ensure model governance and fairness in line with banking regulatory requirements (e.g., MRM, compliance, and audit standards).</li></ul>
Requirements<ul>
<li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field.</li>
<li>Senior Data Scientist: 4&ndash;5 years of hands-on experience in data science roles, with proven ability to mentor junior team members.</li>
<li>Fluency in Arabic and English</li>
</ul>
Skills and Expertise<ul><li>Strong analytical and problem-solving mindset.</li><li>Deep expertise in machine learning algorithms and statistical methods.</li><li>Practical experience with deep learning architectures and techniques.</li><li>Proficient in Python and SQL for data manipulation, analysis, and model development.</li><li>Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, and Keras.</li><li>Hands-on experience with predictive modeling, customer segmentation, recommendation systems, and time-series forecasting.</li><li>Experience with time series analysis using ARIMA, LSTM, and Prophet.</li><li>Familiarity with clustering techniques like k-means, and Gaussian Mixture Models.</li><li>Understanding of recommendation systems including collaborative filtering, content-based, hybrid models, and deep learning-based recommenders.</li><li>Ability to leverage machine learning algorithms like Random Forest, SVM, and XGBoost.</li><li>Strong communication skills to present technical concepts to both technical and non-technical audiences.</li><li>Ability to work collaboratively in cross-functional teams.</li><li>Self-driven, highly organized, and capable of handling multiple projects simultaneously.</li><li>Commitment to continuous learning and staying updated with advancements in data science and AI.</li></ul>
Benefits<ul>
<li>
Attractive, market-leading salary package.</li>
<li>Clear career advancement path with professional development opportunities.</li>
<li>One-year contract with Xenon7, presenting a significant opportunity for renewal.</li></ul></div>

Senior Data Scientist

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose
</h5>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.
The role of Senior Data Scientist , will undertake 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 with a focus on timely delivery and ownership of results. The role will require strong skills in computer science, mathematics, statistics and creative problem solving. Transcend the world of theory, extracting knowledge and insights from data and bringing it to life in the business context. Collaborate successfully with cross functional teams including academic researchers, business stakeholders and information technology teams.
In this role, you will:
<ul><li>Communicate and collaborate with key stakeholders to translate complex business problems into data science projects. Work with the team leads to assess the validity of the solutions and the excepted business value.
</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><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.
</li><li>Guide junior team members on data analysis, visualization and lead the development of tools, models and documentation.
</li><li>Support sprint/work design and planning.
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be considered for this role, you must meet the below requirements:
<ul><li>Qualifications: MSc/PhD in a relevant field such as data science, operations research, optimization, mathematics, science, data mining, artificial intelligence, applied statistics or economics.
</li><li>Experience: 4-7+ years of experience in the Analytics ecosystem and hands on the following: data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.)
</li></ul>Knowledge &amp; Skills:
<ul><li>Optimization Framework (Ceplex, FICO, Gurobi, etc.)
</li><li>Experience with: SQL, R, Python.
</li><li>Experience with: Gen AI, LLMs and Agentic AI.
</li><li>Code repositories and containers based frameworks e.g. Git and Docker.
</li><li>Experience working with DevOps &amp; Engineering teams to integrate the development code for models, workflows, libraries &amp; packages into automation processes.
</li><li>Experience building libraries and packages to be re-used by others and DS Solutions for production usage.
</li><li>Team player with a problem solving attitude.
</li><li>Experience of delivering advanced analytical projects to large, complex organisations in a multi-functional environment.
</li><li>Able to challenge and review the quality and value generated from analytical output.
</li><li>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.
</li></ul>At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. So if you're looking for a challenging and rewarding opportunity, apply today and join our team!
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>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. 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</div>

Promofix FZ LLC

Job SummaryBlis is seeking a Senior Data Scientist (Freelance) to provide actionable insights and advanced analytics for our clients and internal teams. You will work on complex data sets, develop predictive models, and translate data into clear, strategic recommendations. This is a freelance role with flexible hours and remote collaboration.Key Responsibilities<ul><li>Develop advanced analytical models and extract actionable insights from data.</li><li>Conduct deep-dive audience analyses using digital, mobile, and behavioural data.</li><li>Build predictive models, segmentation frameworks, and data mining workflows.</li><li>Support sales and client teams with insights for media briefs and proposals.</li><li>Prepare dashboards, reports, and presentations to communicate findings effectively.</li><li>Lead end-to-end analytics projects, from data extraction to insights delivery.</li><li>Contribute to Thought Leadership and research initiatives, including white papers.</li></ul>Requirements<ul><li>5+ years of experience as a Data Scientist or Senior Analyst in analytics, research, or media.</li><li>Strong quantitative research and statistical modelling skills.</li><li>Proficient in Python, SQL, and data visualization tools (Tableau, Power BI, or similar).</li><li>Experience with large-scale datasets, predictive analytics, and machine learning.</li><li>Strong understanding of audience analytics, digital media, and consumer behaviour.</li><li>Excellent communication and presentation skills, with ability to simplify complex data.</li><li>Self-motivated, able to manage multiple projects independently.</li></ul>Preferred Qualifications<ul><li>Experience in mobile/location analytics or ad-tech platforms.</li><li>Exposure to media planning/buying or digital publishing.</li><li>Strong storytelling ability with data to influence business decisions.</li></ul>Contract Details<ul><li>Freelance / Project-based</li><li>Remote-friendly with flexible working hours</li></ul><ul><li>Location: Preferably India (Remote / Flexible)</li></ul>Apply now: hr@jgroup-me.comJob Types: Full-time, Permanent, ContractPay: AED5,000.00 - AED7,000.00 per month

Analytics & Insights – Blis

Jex Recruitment | Connecting top talent with leading companies

<div>
 
 Principal Data Scientist &ndash; Cyber Security | Dubai
 
 
 
 
 
 We&rsquo;re partnered with a leading Cyber Security organisation in Dubai to hire a
 
 Principal Data Scientist
 
 . This role is ideal for a seasoned data science professional &mdash; someone with 10+ years&rsquo; experience applying machine learning to complex, high-impact problems &mdash; and a deep technical interest in cyber defence.
 
 
 
 
 
 You&rsquo;ll play a hands-on role in designing, building, and deploying ML architectures that power next-generation threat detection and predictive security systems. Working at the intersection of
 
 AI, data, and cyber security
 
 , you&rsquo;ll drive innovation while remaining deeply involved in technical delivery.
 
 
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Architect, develop, and deploy advanced ML models for anomaly detection, intrusion prevention, and predictive defence.
 </li>
 <li>
 Collaborate with cyber research and engineering teams to embed AI capabilities into real-world security products.
 </li>
 <li>
 Lead the design of scalable data and ML pipelines capable of handling high-volume, adversarial data.
 </li>
 <li>
 Evaluate emerging technologies and research to continuously evolve the organisation&rsquo;s ML stack.
 </li>
 <li>
 Mentor and guide data scientists and ML engineers, setting technical direction and best practices.
 </li>
 </ul>
 
 
 
 
 Requirements
 
 <ul>
 <li>
 
 10+ years of experience
 
 in data science, machine learning, or applied AI, with a focus on hands-on technical work.
 </li>
 <li>
 Strong background in
 
 cyber security
 
 , ideally with experience in malware analysis, SOC operations, or threat intelligence.
 </li>
 <li>
 Proven record of building
 
 production-grade ML systems
 
 and data architectures.
 </li>
 <li>
 Advanced proficiency in
 
 Python
 
 ,
 
 TensorFlow/PyTorch
 
 , and distributed data technologies (Spark, Kubernetes, etc.).
 </li>
 <li>
 Deep understanding of modern ML methodologies, from feature engineering to model deployment and monitoring.
 </li>
 <li>
 Strong communicator and problem-solver, able to operate both strategically and technically.
 </li>
 </ul>
 <li>
 </li>
 
 
</div>

Principal Data Scientist

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Lead Data Scientist

Lead Data Scientist

Lead Data Scientist (Fintech / Banking)

Senior Data Scientist

Senior Data Scientist

Analytics & Insights – Blis

Principal Data Scientist