planning engineer

project engineer

ai engineer

business analyst

data scientist

data engineer

Qatar Airways

<div><div><div><div><div><div><div><div>Job title
</div><div>Data Engineer
</div></div><div><div>Ref #
</div><div>225620
</div></div><div><div>Location
</div><div>Qatar - Doha
</div></div><div><div>Job family
</div><div>Corporate &amp; Commercial
</div></div><div><div><ul><li>Closing date: 08-Sep-2025</li></ul><br>
</div></div></div></div></div><p></p><div><div><div><div><div><p><b>About the role</b></p><p><b>
Welcome to a world where ambition propels success!</b></p><p><b>
We are pleased to announce an exciting opportunity to be part of our Discover Qatar Team as a </b><b><i>Data Engineer</i></b><b> in Doha</b></p><p>
In this role, you will play a significant part in creating reliable architectures for building highly scalable data pipelines to collect a large amount of data from different sources and transform it into a usable format for analysis. The role involves designing, implement and maintain a full suite of real-time and batch jobs that fuels our cutting-edge data analytics platform to provide real-time intelligence to our businesses.</p><p><b>
Specific responsibilities include:</b></p><ul><li> Be a full stack data engineer to build highly scalable, high quality data products.</li><li> Create and maintain optimum data pipeline architecture for ingestion, storage, processing &amp; transformation of data for building data products for analytics</li><li> To ensure data product is complete and accurate, perform data validation through cleansing and defining the rule for detecting and managing outliers.</li><li> Ensure Audit, Balance &amp; Control are implemented for Consistent, Complete &amp; Comprehensive Data Quality and Data Integrity management</li><li> Ensure compliance to data strategy and governance and integrate organization&rsquo;s data management processes in to data product development.</li><li> Accountable for implementing modern-day security controls for sensitive data products for security compliance</li><li> Write automated unit test cases for data products and their integration with continuous integration and continuous deployment (CI/CD) pipeline to support agile development and reliability.</li><li> Develop data quality routines for the data products to ensure high quality outcomes.</li><li> Provide 24 / 7 support for the data products developed to ensure business continuity.</li><li> Identifies and manages reference data in consultation with the respective business team to ensure their correctness and integrity</li><li> Build solutions which are scalable, resilient and sustainable with technical architects to address business requirements.</li><li> Tackle challenges and solve complex problems on daily basis to ensure minimal impact to the business operations.</li><li> Perform other department duties related to his / her position as directed by the Head of the Department.</li></ul><p><b>
Be part of an extraordinary story</b></p><p>
Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You&rsquo;ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community.</p><br>
<p></p>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3></div></div><div><div><div><div><p><b>About you</b></p><p><b>
To be successful in this role, you must meet the following requirements:</b></p><ul><li> Bachelor&rsquo;s degree or equivalent (E.g Computer Science, Engineering, commerce, business administration or any related field)</li><li> Minimum 04 years professional of job-related experience</li><li> Hands-on data engineering experience in working with big data using technologies like Hadoop/Hive, Hyperscale PostgreSQL, Java/Scala, Spark, Kafka, SQL and NoSQL, Python, azure cloud-based data engineering solutions (ex: Azure Databricks, Google Big Query).</li><li> Experience on data tools, data modeling, data visualization, and pipeline design &amp; development.</li><li> Experience with data warehouse platforms (ex Azure Data bricks, Google Big Query).</li><li> Experience with Alteryx, visualization tools - Tableau, Power BI.</li><li> Strong technical knowledge of performance tuning and query optimization on large data sets</li></ul><div></div><p><b><br>
You&rsquo;ll have an edge if you have:</b></p><p><b>
</b></p><p>&sect; Knowledge of airline domain.</p><p>
&sect; Knowledge of agile/lean development methodologies.</p><p>
</p><p><b>About Qatar Airways Group</b></p><p>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before. So, whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.</p><p><b>
How to apply</b></p><p>
If you&rsquo;re ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing our quick application form.</p><br>
<div></div>
</div></div><div></div><div><div><br>
<div><b>About Qatar Airways Group
</b></div><br>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.<br>
<br>
So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.<br>
</div></div><div><div>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=225620</div></div></div></div></div></div></div></div>

Data Engineer

Sygmetiv Business Solutions

<p><b>About the Role</b></p><p>We are seeking an experienced <b>Data Center Engineer</b> to join our team. This role is responsible for the <b>planning, design, implementation, operation, and optimization</b> of data center and network solutions. The successful candidate will oversee ICT projects, support advanced technologies, and ensure the stability and security of mission-critical infrastructure.</p><p><b>Key Responsibilities</b></p><ul><li>Manage the full network lifecycle: <b>Planning, Design, Implementation, Operation, Optimization (PDIOO)</b>.</li><li>Operate and implement control room and data center systems.</li><li>Support complex network upgrades and migration activities.</li><li>Perform <b>root cause analysis</b> and resolve highly complex networking issues.</li><li>Provide 1st and 2nd line management of regional network management control room operations.</li><li>Mentor junior engineers and provide real-time escalation support.</li><li>Work closely with system integrators to manage ICT projects and implementations.</li><li>Coordinate with Cisco TAC and vendors for escalated troubleshooting.</li><li>Translate business goals into actionable and governable roadmaps.</li><li>Contribute to future architecture to deliver new services while reducing cost and risk.</li></ul><p><b>Qualifications &amp; Experience</b></p><p><b>Essential:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science / Electronics &amp; Communication.</li><li><b>3&ndash;5 years&rsquo; experience</b> in a similar role.</li><li>Must hold <b>CCIE Data Center certification</b>.</li><li>Must hold <b>CCNA Routing &amp; Switching certification</b>.</li><li>Strong understanding of LAN, SAN, NAS, and cybersecurity environments.</li><li>Ability to analyze, configure, and manage medium to large networks.</li></ul><p><b>Desirable:</b></p><ul><li>Project Management qualification (PRINCE2, PMP, or equivalent).</li><li>VMware vSphere and virtualization experience.</li><li>Knowledge of voice solutions.</li><li>Exposure to Asset Affairs business functions.</li></ul><p><b>Technical Knowledge Required:</b></p><ul><li>Hands-on experience with:</li><li>Cisco UCS Servers (Blade/Rackmount)</li><li>VMware vSphere (ESXi, vCenter), Virtual Machine deployments</li><li>TACACS / RADIUS, DNS, DHCP, IP services</li><li>EMC SAN products (VNX), SAN switch zoning &amp; server integration</li><li>EMC NAS (Isilon), NAS shares management</li><li>EMC backup solutions (DataDomain, Avamar, RecoverPoint)</li><li>DNS Servers and LDAP (Active Directory) administration</li><li>Antivirus solutions for large-scale data centers (e.g., Sophos)</li><li>Windows Servers 2012 / 2016 administration</li><li>L2/L3 network device configuration</li></ul><p><b>Key Skills &amp; Competencies</b></p><ul><li>Excellent communication (verbal &amp; written) and presentation skills.</li><li>Strong leadership, teamwork, and project management abilities.</li><li>Analytical and problem-solving skills with ability to create actionable plans.</li><li>Self-motivated, with initiative and customer-focused approach.</li><li>Strong technical skills in enterprise-level systems.</li></ul><p>Job Type: Full-time</p><p>Experience:</p><ul><li>Data Center Engineer: 3 years (Preferred)</li></ul>

Control Room Systems / Data Center Engineer – Level 2

PROZ TECHNOLOGIES

<p>Indeed Job Post:</p><p><b>Job Title:</b> Big Data Platform Developer<br/><b>Location:</b> Doha, Qatar</p><p><b>Job Overview:</b><br/>We are hiring a <b>Big Data Platform Developer</b> skilled in Python, Java, and big data technologies to design and optimize our client&rsquo;s big data platform. You will be responsible for data ingestion, normalization, visualization, and automated reporting.</p><p><b>Key Responsibilities:</b></p><ul><li>Parse, inject, and normalize large datasets</li><li>Develop dashboards, heat maps, and visualization reports</li><li>Build and automate data pipelines for real-time analytics</li><li>Generate detailed reports for stakeholders</li><li>Collaborate with data scientists &amp; cybersecurity teams</li><li>Maintain technical documentation</li></ul><p><b>Qualifications:</b></p><ul><li>Bachelor&rsquo;s in Computer Science, Data Science, or related field</li><li>4&ndash;6 years of big data experience (Hadoop, Spark, Kafka)</li><li>Strong coding skills in Python &amp; Java</li><li>Proficiency in SQL/NoSQL databases, REST APIs, and cloud platforms (AWS/Azure/GCP)</li><li>Familiarity with Tableau, Power BI, or other visualization tools</li><li>Strong problem-solving and collaboration skills</li></ul><p><b>About Proztec:</b><br/>Proz Technologies (PROZTEC), based in Doha, Qatar, is a leading ICT firm with 300+ employees. Be part of a growing team delivering innovative data-driven solutions.</p><p>Apply now by sending your CV to Recruitment@proztec.com</p><p>Job Type: Full-time</p><p>Pay: QAR15,000.00 - QAR18,000.00 per month</p>

Big Data Platform Developer

Swan Global WLL

<p>Hiring <b>Machine Learning Engineer/Sr. Data Scientist</b></p><p>Contract type:- Long term</p><p>Salary:- TBD</p><p>Duty hrs:- 8 hrs/ 5 days</p><p><b>Skills - Required:</b></p><p>&#9679; Knowledge of statistical modelling and popular machine learning models.</p><p>&#9679; Good analytical skills, with expertise in analytical tool-kits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.</p><p>&#9679; Hands-on with Python/R programming and knowledge of machine learning tools like Scikit-Learn, Pandas, TensorFlow, Pytorch, Keras, OpenCV, XGBoost etc.</p><p>&#9679; Computer Vision: Image preprocessing, image matching/comparison using SIFT/SURF/ORB, Object detection (Faster RCNN, YOLO, SSD, etc.), Image similarity (Siamese network), Image classification.</p><p>&#9679; NLP: Vector Space modeling in NLP, LSTMS, Sequence modeling, Attention modeling, BERT, Transformers. Using the above-mentioned techniques performing Document classification, Semantic similarity, NER, Sentiment Analysis</p><p>&#9679; Time Series Analysis using ARIMA, SARIMA, LSTMs, etc.</p><p>&#9679; Feature engineering, Feature selection/Feature importance, Dimensionality</p><p>&#9679; Reduction (PCA, etc.), Hyperparameter tuning, Ensembling techniques like Bagging, Boosting, Stacking</p><p>Should possess knowledge of multiple cloud platforms (GCP-Preferable, Azure or AWS) and machine learning services offered by them.</p><p>&#9679; Critical eye for the quality of data and strong desire to get it right.</p><p>&#9679; A pleasantly forceful personality and charismatic communication style.</p><p>Experience in building end to end machine learning pipelines, deployment using any ML Ops Framework (Kube Flow Pipelines, Vertex AI), model performance monitoring, CI/CD.</p><p>&#9679; Experience in GCP based ML solutions and services like Contact Center AI, Vertex AI, Document AI, Speech-to-Text, Text-to-Speech, Natural Language, Dialog Flow, AutoML, Vision, Video Intelligence, Base OCR, Form Parser, Invoice Parser, etc.</p><p>Job Type: Contract<br/>Contract length: 6 months</p><p>Application Question(s):</p><ul><li>Are you under freelance visa?</li></ul><p>Language:</p><ul><li>Arabic (Required)</li></ul>

Machine Learning Engineer/ Sr. Data Scientist

Protiviti Middle East Member Firm

<div>
 <p>
  Job Description: Data Scientist - Advanced Analytics &amp; Network Insights
 </p>
 <p>
  Position Requirements:
 </p>
 <ul>
  <li>
   Strong expertise in analytics solutions, including data collection, preprocessing, model development, and deployment.
  </li>
  <li>
   Proficient in machine learning techniques and algorithms (e.g., Naive Bayes, SVM, Decision Forests, Bagging &amp; Boosting Models).
  </li>
  <li>
   Strong understanding of feature scaling, dimensionality reduction, and data compression techniques.
  </li>
  <li>
   Expertise in Python, PySpark, R, and libraries such as Scikit-learn, NumPy, TensorFlow.
  </li>
  <li>
   5+ years of experience in deploying scalable machine learning systems, with 4+ years in NLP or text analytics development.
  </li>
  <li>
   Proficient in SQL, Hadoop, Spark, and data storage frameworks.
  </li>
  <li>
   Skilled in designing and deploying auto big data pipelines for production environments.
  </li>
  <li>
   Experienced in developing ETL (Extract, Transform, Load) workflows for seamless data integration.
  </li>
  <li>
   Expertise in building interactive dashboards and reports using Tableau and other visualization tools.
  </li>
  <li>
   Experience with agile methodologies, data-driven development, and reliable experimentation.
  </li>
  <li>
   Knowledge of machine learning publications or contributions to open-source projects is a plus.
  </li>
 </ul>
 <p>
 </p>
 <p>
  Role &amp; Responsibilities:
 </p>
 <ul>
  <li>
   Lead the development and optimization of machine learning models, including recommendation and personalization systems.
  </li>
  <li>
   Develop end-to-end analytics solutions, from data preprocessing to machine learning model deployment.
  </li>
  <li>
   Build and optimize big data pipelines, ensuring scalability and efficiency in production environments.
  </li>
  <li>
   Conduct data mining and implement advanced classifiers to enhance customer experiences and business performance.
  </li>
  <li>
   Process and analyze large datasets using big data tools like Spark and Hive.
  </li>
  <li>
   Process, cleanse, and validate data for analysis, ensuring accuracy and integrity.
  </li>
  <li>
   Extend existing data with third-party sources as needed for enriched analysis.
  </li>
  <li>
   Perform ad-hoc analyses and present actionable insights clearly to stakeholders.
  </li>
  <li>
   Collaborate with cross-functional teams to deliver tailored solutions aligned with business objectives.
  </li>
 </ul>
</div>


Data Scientist

Canonical

<div>
 Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 <br/>
 <br/>
 The company is founder led, profitable and growing. We are hiring
 <strong>
  Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions
 </strong>
 to join our teams building open source solutions for public cloud and private infrastructure.
 <br/>
 <br/>
 As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.
 <br/>
 <br/>
 We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.
 <br/>
 <br/>
 <strong>
  What your day will look like
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
  </li>
  <li>
   Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
  </li>
  <li>
   Master distributed systems concepts such as observability, identity, tracing
  </li>
  <li>
   Work with both Kubernetes and machine-oriented open source applications
  </li>
  <li>
   Collaborate proactively with a distributed team of engineers, designers and product managers
  </li>
  <li>
   Debug issues and interact in public with upstream and Ubuntu communities
  </li>
  <li>
   Generate and discuss ideas, and collaborate on finding good solutions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What we are looking for in you
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Professional or academic software delivery using Python
  </li>
  <li>
   Exceptional academic track record from both high school and university
  </li>
  <li>
   Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
  </li>
  <li>
   Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
  </li>
  <li>
   Track record of going above-and-beyond expectations to achieve outstanding results
  </li>
  <li>
   Passion for technology evidenced by personal projects and initiatives
  </li>
  <li>
   The work ethic and confidence to shine alongside motivated colleagues
  </li>
  <li>
   Professional written and spoken English with excellent presentation skills
  </li>
  <li>
   Experience with Linux (Debian or Ubuntu preferred)
  </li>
  <li>
   Excellent interpersonal skills, curiosity, flexibility, and accountability
  </li>
  <li>
   Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
  </li>
  <li>
   Thoughtfulness and self-motivation
  </li>
  <li>
   Result-oriented, with a personal drive to meet commitments
  </li>
  <li>
   Ability to travel twice a year, for company events up to two weeks long
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional skills that would be nice to have
  <br/>
  <br/>
 </strong>
 The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.
 <br/>
 <br/>
 <ul>
  <li>
   Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.
  </li>
  <li>
   Hands-on experience with machine learning libraries, or tools.
  </li>
  <li>
   Experience with container technologies (Docker, LXD, Kubernetes, etc.)
  </li>
  <li>
   Experience with public clouds (AWS, Azure, Google Cloud)
  </li>
  <li>
   Working knowledge of cloud computing
  </li>
  <li>
   Passionate about software quality and testing
  </li>
  <li>
   Experience working on an open source project
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What we offer colleagues
  <br/>
  <br/>
 </strong>
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 <br/>
 <br/>
 <ul>
  <li>
   Distributed work environment with twice-yearly team sprints in person
  </li>
  <li>
   Personal learning and development budget of USD 2,000 per year
  </li>
  <li>
   Annual compensation review
  </li>
  <li>
   Recognition rewards
  </li>
  <li>
   Annual holiday leave
  </li>
  <li>
   Maternity and paternity leave
  </li>
  <li>
   Employee Assistance Programme
  </li>
  <li>
   Opportunity to travel to new locations to meet colleagues
  </li>
  <li>
   Priority Pass, and travel upgrades for long haul company events
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Canonical
  <br/>
  <br/>
 </strong>
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 <br/>
 <br/>
 <strong>
  Canonical is an equal opportunity employer
  <br/>
  <br/>
 </strong>
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 <br/>
 <br/>
</div>


Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Commercial Bank

<div>
 <p>
  <strong>
   <em>
    About Commercial Bank of Qatar:
   </em>
  </strong>
 </p>
 <p>
  Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar&rsquo;s economic development by offering a range of personal, business, government, international and investment services. We believe in empowering our employees, providing them with opportunities for growth and professional development.
 </p>
 <p>
  By Joining us, you&rsquo;ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.
 </p>
 <p>
  <em>
   Join us in shaping the future of banking!
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Job Summary:
   </em>
  </strong>
 </p>
 <p>
  At Commercial Bank, data is a key driver in strategic decision making; the incumbent is required to have a thorough understanding of data analytics, data management principles and have ability to help the bank derive maximum value from the data available. Previous experience with data science and advanced analytical techniques, as well as AI and Machine Learning in a banking context would be a major success factor. The skills needed for the Data Scientist include technical knowledge and problem-solving and focus on delivery. The prospective candidate is expected to help take the bank&rsquo;s data science capabilities to the next level; building on a good foundation but accelerating both the capability development and the exploitation of benefits.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Accountabilities
  </strong>
 </p>
 <ul>
  <li>
   Lead the discovery processes with stakeholders to identify business requirements and expected outcomes by modelling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques.
  </li>
  <li>
   Apply data mining techniques, perform statistical analysis, and build high quality prediction systems relevant to the business and its operations,
  </li>
  <li>
   Expected to discover information hidden in the vast amount and variety of big data sources and perform statistical analysis to produce business insights e.g. market trends, customer profile and segments, association analysis, predicted behaviour) that will enable the company to make better business decisions.
  </li>
  <li>
   Lead the utilization of various machine learning-based tools and processes such as regression, clustering principle component analysis and others within the Commercial Department.
  </li>
  <li>
   Model and frame business scenarios that are meaningful and which impact critical business decisions and processes.
  </li>
  <li>
   Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as smart meters and geo location information or social media..
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Make strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
 </p>
 <ul>
  <li>
   Develop innovative and effective approaches to solve analytical problems and communicates the results and methodologies
  </li>
  <li>
   Validate findings/test hypotheses using an experimental and iterative approach e.g. scenario modelling Identify/create the appropriate algorithm to discover patterns
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Qualifications &amp; Experience
   </em>
  </strong>
 </p>
 <p>
  <em>
   <u>
    Minimum Qualifications:
   </u>
  </em>
 </p>
 <p>
  Bachelor's Degree or an equivalent professional qualification
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   <u>
    Minimum Experience:
   </u>
  </em>
 </p>
 <ul>
  <li>
   Python or R capability
  </li>
  <li>
   Min. 2 years of experience of modelling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques, integrating and preparing large, varied massive datasets, architecting specialized database and computing environments and communicating the results to the business
  </li>
  <li>
   Expertise in reports and analysis of complex customer and/or commercial data.
  </li>
  <li>
   Specialist skills in research methodologies, consumer behavior, and market research activities.
  </li>
  <li>
   Specialist skills with Microsoft Excel.
  </li>
  <li>
   Specialist skills in different analytical and visualization systems and tools such as SSRS, SQL, Power BI, Cognos, etc.
  </li>
  <li>
   Skills in data extraction, transformation and visual analytics.
  </li>
  <li>
   Skills in customer service / customer success / customer experience or engagement
  </li>
  <li>
   Excellent written and spoken English.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Knowledge, &amp; Other skills:
  </strong>
 </p>
 <p>
  &bull;Knowledge of banking products
 </p>
 <p>
  &bull;Excellent written and spoken English
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Why Commercial Bank?
   </em>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Best Performing Bank in Qatar
   </strong>
   in The Banker&rsquo;s prestigious Top 1000
   <strong>
    World Banks Rankings 2025.
   </strong>
  </li>
  <li>
   <strong>
    Best Digital Bank in the Middle East 2024
   </strong>
   by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
  </li>
  <li>
   An
   <strong>
    Innovation-Driven, Digital-First
   </strong>
   Environment where employees work with the latest tools and technologies to redefine banking
  </li>
  <li>
   Opportunities for
   <strong>
    Global Partnerships &amp; International Exposure
   </strong>
   , connecting employees with global networks and perspectives.
  </li>
  <li>
   A focus on Employee
   <strong>
    Well-being &amp; Work-Life Balance
   </strong>
   , ensuring a healthy and supportive environment for all team members
  </li>
  <li>
   <strong>
    Competitive Compensation &amp; Benefits
   </strong>
   that ensure our employees are rewarded for their dedication and performance
  </li>
  <li>
   A strong Commitment to
   <strong>
    Diversity, Equity &amp; Inclusion
   </strong>
   , fostering a culture that values every individual&rsquo;s unique perspective
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  At Commercial Bank, we don&rsquo;t just offer careers, We shape futures by pioneering
  <strong>
   digital transformation
  </strong>
  in Qatar&rsquo;s banking sector,
  <strong>
   blending digital-first
  </strong>
  approach to redefine banking through
  <strong>
   innovative solutions.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
  </em>
 </p>
 <p>
  <strong>
   <em>
    Disclaimer:
   </em>
  </strong>
 </p>
 <p>
  <em>
   We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.
  </em>
 </p>
</div>


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