44 Natural Language Processing jobs in Qatar

About Commercial Bank of Qatar:

Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar’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.

By Joining us, you’ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.

Join us in shaping the future of banking!

Job Summary:

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’s data science capabilities to the next level; building on a good foundation but accelerating both the capability development and the exploitation of benefits.

Key Accountabilities

• 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.
• Apply data mining techniques, perform statistical analysis, and build high quality prediction systems relevant to the business and its operations,
• 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.
• Lead the utilization of various machine learning-based tools and processes such as regression, clustering principle component analysis and others within the Commercial Department.
• Model and frame business scenarios that are meaningful and which impact critical business decisions and processes.
• 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.

Make strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.

• Develop innovative and effective approaches to solve analytical problems and communicates the results and methodologies
• Validate findings/test hypotheses using an experimental and iterative approach e.g. scenario modelling Identify/create the appropriate algorithm to discover patterns

Qualifications & Experience

Minimum Qualifications:

Bachelor's Degree or an equivalent professional qualification

Minimum Experience:

• Python or R capability
• 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
• Expertise in reports and analysis of complex customer and/or commercial data.
• Specialist skills in research methodologies, consumer behavior, and market research activities.
• Specialist skills with Microsoft Excel.
• Specialist skills in different analytical and visualization systems and tools such as SSRS, SQL, Power BI, Cognos, etc.
• Skills in data extraction, transformation and visual analytics.
• Skills in customer service / customer success / customer experience or engagement
• Excellent written and spoken English.

Knowledge, & Other skills:

•Knowledge of banking products

•Excellent written and spoken English

Why Commercial Bank?

• Best Performing Bank in Qatar in The Banker’s prestigious Top 1000 World Banks Rankings 2025.
• Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
• An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking
• Opportunities for Global Partnerships & International Exposure , connecting employees with global networks and perspectives.
• A focus on Employee Well-being & Work-Life Balance , ensuring a healthy and supportive environment for all team members
• Competitive Compensation & Benefits that ensure our employees are rewarded for their dedication and performance
• A strong Commitment to Diversity, Equity & Inclusion , fostering a culture that values every individual’s unique perspective

At Commercial Bank, we don’t just offer careers, We shape futures by pioneering digital transformation in Qatar’s banking sector, blending digital-first approach to redefine banking through innovative solutions.

Disclaimer:

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.

#J-18808-Ljbffr

SWATX is looking for a talented and driven Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to extract insights from complex datasets and drive data-driven decision making within the organization. You will work closely with business stakeholders to identify opportunities for leveraging data to improve products, services, and overall business performance.

Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategies.
• Develop and implement predictive models and machine learning algorithms to solve complex business problems.
• Collaborate with cross-functional teams to understand data requirements and provide analytical solutions that meet business needs.
• Design and conduct experiments to test hypotheses and validate results.
• Communicate findings and recommendations to stakeholders through presentations and reports.
• Continuously monitor and improve model performance through regular updates and refinements.
• Stay updated with the latest advancements in data science, machine learning, and AI technologies to apply best practices in your work.
• Build and maintain data pipelines to ensure the availability of data for analysis and reporting.
• Work with data engineering teams to ensure data is collected and stored effectively for analysis.

Requirements:

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Scientist or in a similar analytical role.
• Strong programming skills in Python, R, or similar languages.
• Proficiency in SQL and experience with relational and non-relational databases.
• Experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras).
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) for communicating results.
• Understanding of statistical concepts and methodologies, and experience applying them to real-world scenarios.
• Excellent analytical and problem-solving skills.
• Strong communication skills, both verbal and written, in English and Arabic.

Preferable Certificates:

• Certified Data Scientist (CDS).
• Microsoft Certified: Azure Data Scientist Associate.
• Google Cloud Professional Data Engineer.
• SAS Certified Data Scientist.

#J-18808-Ljbffr

Databorn is a leading consulting firm that specialises in machine learning, marketing technology, and data management. Our team of over 350+ professionals worldwide is dedicated to delivering best-in-class solutions to large corporations in the financial, telco, oil & gas and retail industries. We leverage advanced analytics and big data to supercharge our clients' digital transformation and fuel their growth.

With offices in the UAE, KSA Databorn is a trusted partner for dozens of clients across the globe. Our expertise and experience enable us to implement solutions that drive business success and deliver measurable results. Whether you need help with data management, marketing technology, or machine learning, Databorn has the knowledge and skills to help you achieve your goals.

Our clients are major companies in the business and government sectors (main projects include fintech, retail, manufacturing, FMCG).

Benefits You’ll Love

• Dedicated mentor
• Databorn and Partner vendor's training and certification opportunities
• Annual performance bonuses
• Annual performance review process
• Projects with the latest technologies and methodologies

Position Summary

We are seeking a skilled Data Scientist for our on-site projects in Qatar with a strong background in statistics and machine learning to solve complex business problems. The ideal candidate will work closely with stakeholders to translate business challenges into data-driven solutions, develop and deploy predictive models, and ensure successful project delivery and customer satisfaction.

Please note: This is a full-time, on-site position based in Qatar within the Fintech business area.
Being physically present in the office in Qatar is mandatory.

We offer relocation assistance (preferable option) or extended business trips totaling no less than 9 months per calendar year .

If you are open to considering this opportunity, we would be happy to discuss it further!

What You’ll Do And What You’ll Need

Your Responsibilities

• Business Problem Solving

• Business Problem Solving

- Collaborate with stakeholders to define and formalize analytics requirements.
- Translate business challenges into data workflows and structures.
- Apply statistics and machine learning to solve real-world problems.
- Utilize analytics tools including Python and Hadoop ecosystem.

• Model Development Deployment

- Prepare data through preprocessing, analysis, and visualization.
- Build, train, and evaluate machine learning models (supervised, unsupervised, time series).
- Conduct A/B testing to validate model impact.
- Develop production-ready code covering full model lifecycle and deployment.

• Project Delivery Documentation

- Participate in acceptance testing and ensure solution quality.
- Produce clear documentation for knowledge transfer and maintenance.

• Customer Relationship Management

- Maintain positive customer relationships and ensure satisfaction.
- Resolve issues proactively and communicate openly.
- Engage customers with domain expertise and gather feedback to prevent escalations.

• Support Sales Project Growth

- Evaluate additional work requests and justify project value.
- Assist in qualifying and assessing change requests.

Experience & Skills We Are Looking For

Required

• Big Data Ecosystem: Hadoop
• Data Analysis: MS Excel for reporting and exploratory analysis
• Readiness to expanded business trips or Relocation to Qatar .
• Proficiency in English.
• Experience working with banking data, transactional data, or customer analytics
• Proficiency in Arabic

We offer a competitive salary and commission package, as well as opportunities for growth and advancement within the company.

If you have a passion for turning data into actionable insights and enjoy working closely with customers to solve challenging problems, we would love to hear from you!

Leave your resume, and we will contact you

#J-18808-Ljbffr

About Commercial Bank of Qatar: Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar’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. By Joining us, you’ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential. Join us in shaping the future of banking! Job Summary: 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’s data science capabilities to the next level; building on a good foundation but accelerating both the capability development and the exploitation of benefits. Key Accountabilities 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. Apply data mining techniques, perform statistical analysis, and build high quality prediction systems relevant to the business and its operations, 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. Lead the utilization of various machine learning-based tools and processes such as regression, clustering principle component analysis and others within the Commercial Department. Model and frame business scenarios that are meaningful and which impact critical business decisions and processes. 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. Make strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices. Develop innovative and effective approaches to solve analytical problems and communicates the results and methodologies Validate findings/test hypotheses using an experimental and iterative approach e.g. scenario modelling Identify/create the appropriate algorithm to discover patterns Qualifications & Experience Minimum Qualifications: Bachelor's Degree or an equivalent professional qualification Minimum Experience: Python or R capability 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 Expertise in reports and analysis of complex customer and/or commercial data. Specialist skills in research methodologies, consumer behavior, and market research activities. Specialist skills with Microsoft Excel. Specialist skills in different analytical and visualization systems and tools such as SSRS, SQL, Power BI, Cognos, etc. Skills in data extraction, transformation and visual analytics. Skills in customer service / customer success / customer experience or engagement Excellent written and spoken English. Knowledge, & Other skills: •Knowledge of banking products •Excellent written and spoken English Why Commercial Bank? Best Performing Bank in Qatar

in The Banker’s prestigious Top 1000

World Banks Rankings 2025. Best Digital Bank in the Middle East 2024

by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance. An

Innovation-Driven, Digital-First

Environment where employees work with the latest tools and technologies to redefine banking Opportunities for

Global Partnerships & International Exposure , connecting employees with global networks and perspectives. A focus on Employee

Well-being & Work-Life Balance , ensuring a healthy and supportive environment for all team members Competitive Compensation & Benefits

that ensure our employees are rewarded for their dedication and performance A strong Commitment to

Diversity, Equity & Inclusion , fostering a culture that values every individual’s unique perspective At Commercial Bank, we don’t just offer careers, We shape futures by pioneering

digital transformation

in Qatar’s banking sector,

blending digital-first

approach to redefine banking through

innovative solutions. Disclaimer: 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.

#J-18808-Ljbffr

The Data Scientist focuses on developing algorithms, data analysis, and insights to drive business innovation and efficiency. This role involves working with large datasets, developing predictive models, and collaborating with cross-functional teams to deliver data-driven solutions. Responsibilities and Duties

Develop and implement data science projects, including the design and development of algorithms and models. Collaborate with stakeholders to understand business requirements and translate them into data science solutions. Analyze large datasets to extract insights, identify trends, and support decision-making. Develop and validate predictive models, machine learning algorithms, and statistical analyses. Ensure the accuracy, quality, and relevance of data science outputs. Stay updated with the latest advancements in data science and machine learning, applying them to enhance solutions. Provide support and guidance to other team members as needed. Ensure compliance with data governance, security, and regulatory standards in all data science activities. Prepare and present data science reports and documentation to senior management and stakeholders. Participate in project planning and contribute to the development of project timelines and deliverables. Perform other duties relevant to the job as assigned by the Sr. Data Scientist or senior management. Requirements

Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field. Relevant certifications (e.g., Certified Data Scientist, Google Cloud Professional Data Engineer) are preferred. Minimum of 3 years of experience in data science or related fields. Experience in developing and implementing data science solutions for AI or technology-focused products. Strong programming skills in languages such as Python, R, or SQL. Proficiency in data science tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Attention to detail and commitment to quality. In-depth understanding of data science principles, machine learning algorithms, and statistical analysis. Familiarity with data visualization tools (e.g., Tableau, Power BI). Knowledge of data governance, security, and regulatory standards. Ability to manage multiple tasks and prioritize effectively. Strong attention to detail and commitment to delivering high-quality work. Ability to work independently and as part of a team.

#J-18808-Ljbffr

SWATX is looking for a talented and driven Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to extract insights from complex datasets and drive data-driven decision making within the organization. You will work closely with business stakeholders to identify opportunities for leveraging data to improve products, services, and overall business performance.

Responsibilities:

Analyze large datasets to identify trends, patterns, and insights that can inform business strategies. Develop and implement predictive models and machine learning algorithms to solve complex business problems. Collaborate with cross-functional teams to understand data requirements and provide analytical solutions that meet business needs. Design and conduct experiments to test hypotheses and validate results. Communicate findings and recommendations to stakeholders through presentations and reports. Continuously monitor and improve model performance through regular updates and refinements. Stay updated with the latest advancements in data science, machine learning, and AI technologies to apply best practices in your work. Build and maintain data pipelines to ensure the availability of data for analysis and reporting. Work with data engineering teams to ensure data is collected and stored effectively for analysis. Requirements:

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Proven experience as a Data Scientist or in a similar analytical role. Strong programming skills in Python, R, or similar languages. Proficiency in SQL and experience with relational and non-relational databases. Experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras). Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) for communicating results. Understanding of statistical concepts and methodologies, and experience applying them to real-world scenarios. Excellent analytical and problem-solving skills. Strong communication skills, both verbal and written, in English and Arabic. Preferable Certificates:

Certified Data Scientist (CDS). Microsoft Certified: Azure Data Scientist Associate. Google Cloud Professional Data Engineer. SAS Certified Data Scientist.

#J-18808-Ljbffr

Databorn

is a leading consulting firm that specialises in machine learning, marketing technology, and data management. Our team of over 350+ professionals worldwide is dedicated to delivering best-in-class solutions to large corporations in the financial, telco, oil & gas and retail industries. We leverage advanced analytics and big data to supercharge our clients' digital transformation and fuel their growth.

With offices in

the UAE, KSA

Databorn is a trusted partner for dozens of clients across the globe. Our expertise and experience enable us to implement solutions that drive business success and deliver measurable results. Whether you need help with data management, marketing technology, or machine learning,

Databorn

has the knowledge and skills to help you achieve your goals.

Our clients are major companies in the business and government sectors (main projects include fintech, retail, manufacturing, FMCG). Benefits You’ll Love Dedicated mentor Databorn and Partner vendor's training and certification opportunities Annual performance bonuses Annual performance review process Projects with the latest technologies and methodologies Position Summary We are

seeking a skilled Data Scientist for our on-site projects in Qatar

with a strong background in statistics and machine learning to solve complex business problems. The ideal candidate will work closely with stakeholders to translate business challenges into data-driven solutions, develop and deploy predictive models, and ensure successful project delivery and customer satisfaction.

Please note:

This is a f ull-time, on-site

position based

in Qatar

within the Fintech business area. Being physically

present in the office in Qatar is mandatory.

We offer relocation assistance

(preferable option)

or extended business trips

totaling

no less

t han 9 months per calendar year .

If you are open to considering this opportunity, we would be happy to discuss it further! What You’ll Do And What You’ll Need Your Responsibilities Business Problem Solving Business Problem Solving - Collaborate with stakeholders to define and formalize analytics requirements. - Translate business challenges into data workflows and structures. - Apply statistics and machine learning to solve real-world problems. - Utilize analytics tools including Python and Hadoop ecosystem. Model Development Deployment - Prepare data through preprocessing, analysis, and visualization. - Build, train, and evaluate machine learning models (supervised, unsupervised, time series). - Conduct A/B testing to validate model impact. - Develop production-ready code covering full model lifecycle and deployment. Project Delivery Documentation - Participate in acceptance testing and ensure solution quality. - Produce clear documentation for knowledge transfer and maintenance. Customer Relationship Management - Maintain positive customer relationships and ensure satisfaction. - Resolve issues proactively and communicate openly. - Engage customers with domain expertise and gather feedback to prevent escalations. Support Sales Project Growth - Evaluate additional work requests and justify project value. - Assist in qualifying and assessing change requests. Experience & Skills We Are Looking For Required Big Data Ecosystem:

Hadoop Data Analysis:

MS Excel for reporting and exploratory analysis Readiness to

expanded business trips or Relocation to Qatar . Proficiency in English. Experience working with banking data, transactional data, or customer analytics Proficiency in Arabic We offer a competitive salary and commission package, as well as opportunities for growth and advancement within the company.

If you have a passion for turning data into actionable insights and enjoy working closely with customers to solve challenging problems, we would love to hear from you! Leave your resume, and we will contact you

#J-18808-Ljbffr

Data Scientist Work Location: Qatar Core Responsibilities: Design, build, and optimize predictive models and machine learning algorithms using structured and semi-structured data. Perform data preprocessing, feature engineering, and model selection independently. Build and maintain automated model pipelines including training, validation, scoring, and monitoring. Implement model drift detection, retraining logic, and performance diagnostics. Conduct code-based model explainability (e.g. SHAP, LIME), support documentation for governance review. Expertise Required Advanced proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, LightGBM) Strong command of SQL and handling large datasets (via warehouse or lake) Experience deploying models using MLflow, Airflow, Docker, or similar tools Familiarity with model performance metrics (ROC AUC, F1, lift/gain, etc.) Hands-on in training and evaluating models for binary classification, multi-class, regression, or time series Exposure to deep learning (PyTorch or TensorFlow) for advanced use cases Working knowledge of embeddings, vector stores, or text-based models Git-based versioning and reproducible ML workflow setup

#J-18808-Ljbffr

We are Qatar Insurance Company (QIC), the leading insurance provider in GCC. With a history dating back to 1964, we have established ourselves as a pioneer in the insurance industry, offering innovative solutions to meet the diverse needs of individuals and businesses.

Our vision is to make QIC group become the first Digital Ecosystem in the region by combining insurance and non-insurance services in one platform. Through our digital platforms, such as qic.online and the QIC app, we empower customers to manage their needs anytime and anywhere.

Our employees have been featured in Forbes 30 under 30, teach at online universities, serve on program committees of major IT conferences, and have previously worked at Yandex, Tinkoff, Avito, Ozon, and other leading tech companies.

About the position

As a Senior Data Scientist, you will be at the forefront of our ML journey – building powerful, scalable models that target fraud, reduce losses, and drive revenue through smart recommendation systems. Your work directly influences key business outcomes and paves the way for our evolving AI capabilities.

Responsibilities

Research and Model Development

• Analyze business tasks and formulate ML problem statements together with product teams
• Exploratory Data Analysis: exploring insurance data, identifying patterns and insights
• Feature Engineering: creating features from raw data (transactions, policies, claims, behavioral data)
• Model Prototyping: rapid validation of hypotheses and MVP solutions
• A/B Testing: designing experiments to validate ML solutions

Production Development

• Model deployment to production: from Jupyter notebook to production API
• ML pipeline setup: automation of training, validation, and deployment
• Real-time inference: integrating models into business processes (underwriting, claims processing)
• Performance optimization: accelerating inference, scaling workloads

Requirements

Technical Skills

• Background with financial/insurance data is an advantage
• 5+ years of experience in ML/DS with a focus on product development
• Programming languages: Python (advanced level), SQL
• ML stack: scikit-learn, XGBoost, LightGBM, CatBoost, pandas, numpy
• Deep Learning: TensorFlow or PyTorch for NLP and recommendation systems
• MLOps: experience deploying models into production (Docker, CI/CD, monitoring)
• Big Data: PySpark or similar tools for large-scale datasets
• Git and collaborative development
• Feature Engineering: creating and selecting features for various types of data
• Model Validation: cross-validation, A/B testing, quality metrics
• Statistics: probability theory, hypothesis testing, confidence intervals
• Working with imbalanced data (critical for anti-fraud tasks)
• Time Series Analysis: forecasting and trend analysis
• Model interpretability: SHAP, LIME to explain results to business stakeholders

We offer

• Long-term service agreement contract with QIC with 3 months probation period
• We are diverse — our digital nomads work remotely from 20+ different countries
• Payment in US dollars monthly to your bank account using SWIFT
• Full-time remote, work schedule: 5 days per week, Sunday to Thursday, GMT +3 timezone
• Vacation policy: Qatar Holiday Calendar, 20 vacation days, 10 sick offs, and 3 mental health days
• Performance reviews are conducted twice a year, with the possibility of a raise
• Potential opportunity to apply for a Qatar ID and relocation to Doha, Qatar

Quality healthcare, wherever you are in the world—with up to $1,500 in dental coverage included.Language classes

Master communication. Learn English, Arabic—or any second language of your choice.

Mental health support

Wellbeing isn’t optional. Get access to services like Yasno—with 70% covered—and recharge with 3 extra Mental Health Days each year.

Tax consultations

We’ll guide you through the complexity of local and international tax rules.

Your growth is our shared goal. We’ll support it with $600/year for additional courses, plus internal workshops.

QIC running club

Join our Strava club for weekly motivation, coaching, and marathon support.

USD, EUR, or AED salary payouts

Get paid in USD, EUR, or AED—whichever fits your setup best.

Extra paid leave

Enjoy generous vacation time, paid sick leave, and bonus days for years of service.

Technologieswe work with

We are open to working with new stacks and technologies that can help us build the best solutions on the market

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