57 Natural Language Processing jobs in Qatar

Remarkable people, trusted by clients to design and advance the world

Wood is currently hiring for a AI Research Intern to support future growth in our expanding business

This is a 3 month Internship based in Qatar.

AI Research Intern will Join Wood PLC's Asset Life Optimisation consulting team to dive into the intersection of artificial intelligence and asset integrity. This internship focuses on exploring how AI and machine learning can enhance service delivery in corrosion, vibration, and integrity management.

Designing the future. Transforming the world

Reflecting the market focus for the office in both brownfield and green field opportunities, multi-skilled personnel are sought, in particular those with experience in:

Onshore Oil and Gas

Offshore Oil and Gas

What we can offer

• Meaningful and interesting projects delivered to leaders of industry across oil and gas and emerging energy sectors
• Commitment to Diversity and Inclusion ; we are an organisation actively committed to diversity and inclusion across our business with employee networks committed to giving all employees a voice
• Global connections : join experts around the world who are at the leading edge of our industry, shaping the standards of our profession

Key Responsibilities:

• Research current AI applications in asset integrity (e.g., predictive modeling, anomaly detection).
• Identify inefficiencies in existing workflows and propose AI-based solutions.
• Interview team members to understand data availability and operational challenges.
• Develop 2–3 AI use cases with feasibility assessments.

Deliverables:

• A research report or white paper.
• A presentation summarizing findings and recommendations.
• A simple prototype or mock-up (optional).

What makes you remarkable?

At Wood, we are committed to equal opportunities and welcome all talented individuals to consider joining our team. So even if you don't match every statement below but feel you have some of the experience, knowledge or skills needed for this role, we encourage you to apply. It will take all of us working together to deliver solutions to the world's most critical challenges.

Experience:

• Bachelor's degree (or final year student) in Engineering, Computer Science, Data Science, or a related field.
• Strong analytical and research skills.
• Basic understanding of AI/ML concepts and tools.
• Ability to communicate technical findings clearly.

Preferred Qualifications:

• Familiarity with Python, MATLAB, or other data analysis tools.
• Exposure to asset integrity or reliability engineering concepts.
• Experience with data visualization.

Learning Opportunities:

• Research and innovation in AI applications.
• Technical writing and presentation skills.
• Exposure to real-world engineering challenges.

Wood is a global leader in consulting and engineering, helping to unlock solutions to critical challenges in energy and materials markets. We provide consulting, projects and operations solutions in 60 countries, employing around 35,000 people.

Diversity Statement

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.

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

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

• Model Development Deployment

• Project Delivery Documentation

• Customer Relationship Management

• Support Sales Project Growth

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

Leave your resume, and we will contact you

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.

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

• 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.

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.

• 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.

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

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

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

• Model Development Deployment

• Project Delivery Documentation

• Customer Relationship Management

• Support Sales Project Growth

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

Leave your resume, and we will contact you

Job Description
We are currently looking Data Scientist for our Qatar operations with the following terms & conditions.

Core Responsibilities:

Design, build, and optimize predictive models and machine learning algorithms using structured and semi-structured data.

Perform data pre-processing, 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 (eg. SHAP, LIME), support documentation for governance review.

Expertise Required

Advanced proficiency in Python (Pandas, NumPy, Scikit-leam, XGBoost, LightGBM)

Strong command of SQL arid 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

Joining time frame: 2 weeks (maximum 1 month)

Nair Systems is currently looking Data Scientist for our Qatar operations with the following terms & conditions.

Core Responsibilities:

Design, build, and optimize predictive models and machine learning algorithms using structured and semi-structured data.

Perform data pre-processing, 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 (eg. SHAP, LIME), support documentation for governance review.

Expertise Required

Advanced proficiency in Python (Pandas, NumPy, Scikit-leam, XGBoost, LightGBM)

Strong command of SQL arid 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

Joining time frame: 2 weeks (maximum 1 month)

Should you be interested in this opportunity, please send your latest resume in MS Word format at the earliest

About us:

Artefact is a global services company that sits at the intersection of consulting, data science, AI technologies and marketing. Our 1700+ people break Business and Tech silos and transform organizations into consumer-centric leaders using digital, data and AI.

Key Responsibilities:

• Data Quality Analysis & Remediation: Collect, extract, and clean data from various sources to prepare comprehensive datasets for analysis This includes handling missing data, removing inconsistencies, and ensuring the data is structured correctly for further analysis.

• Analyze data using appropriate statistical techniques and tools to uncover trends, patterns, and anomalies in the information. This could involve anything from simple descriptive analysis to more complex exploratory data analysis

• Validate and cross-check analysis results to ensure accuracy. This involves verifying calculations, comparing findings against external or historical data for consistency, and investigating any irregularities in the results. Data Analysts are expected to be vigilant about data quality during analysis, catching any issues that might have passed initial data processing.

• Create clear, concise reports and visualizations to communicate findings. While the focus is on analysis rather than just creating dashboards, analysts will use tools like
  Power BI
  to illustrate key insights. They should present data in an understandable way for internal stakeholders, writing summaries that interpret the numbers and highlight important conclusions.

• Work closely with statisticians and other team members to interpret results and refine analysis approaches. This collaborative approach ensures that the analysis aligns with methodological standards and project goals. Analysts may adjust their methods based on feedback, contribute to discussions on what the data means, and help integrate their findings into broader census reports.

Key Qualifications:

• Bachelor's degree in a quantitative field such as Statistics, Data Science, Economics, Mathematics, or similar. This educational background provides a solid foundation in data analysis techniques and statistical reasoning.

• Strong proficiency in data analysis tools and languages, particularly
  SQL
  for database querying, Excel for data manipulation, and programming in Python or R for more advanced analysis and automation. Experience with statistical libraries or packages (e.g., pandas, R's tidyverse) is highly valuable.

• Demonstrated ability to perform in-depth data analysis and not just generate visuals. We need analysts who can write complex queries, perform calculations, and apply statistical tests if necessary – beyond assembling dashboard components. An analytical mindset and attention to detail are crucial for interpreting data correctly and spotting outliers or errors.

• Familiarity with business intelligence and visualization tools, especially
  Power BI
  , to aid in presenting analysis outcomes. While creating polished dashboards is not the primary focus, the analyst should be capable of using Power BI (and similar tools like Tableau if needed) to turn data into interpretable charts and graphs for reporting purposes. They should also understand data visualization best practices to communicate information effectively.

• Excellent communication skills, both written and verbal, with the ability to explain data findings in layman's terms. A collaborative attitude is important, as Data Analysts will frequently interact with other teams (IT, field operations, subject-matter experts) to gather context and ensure that analyses meet the needs of the census project. They should be proactive in sharing insights and contributing to data-driven decisions within the organization.

Company Description
Job Description

We are
currently looking
Data Scientist
for our
Qatar
operations with the following terms & conditions.

Core Responsibilities:

• Design, build, and optimize predictive models and machine learning algorithms using structured and semi-structured data.
• Perform data pre-processing, 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 (eg. SHAP, LIME), support documentation for governance review.

Expertise Required

• Advanced proficiency in Python (Pandas, NumPy, Scikit-leam, XGBoost, LightGBM)
• Strong command of SQL arid 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

Joining time frame:
2 weeks (maximum 1 month)

Additional Information

Terms and conditions:
Joining time frame:
maximum 4 weeks