16 Text Mining jobs in Qatar

BAE Systems Strategic Aerospace Services WLL | Full time Business Area Name: PRIMARY HEALTH CARE CORPORATION (PHCC) Job Type: Full time Province: Ad Dawhah Country: Qatar Postal Code: 000 Job Description

Managing the established directorate learning and development dashboard, metadata presented, quality and integrity of data to ensure timely reports are presented for the management team. Working with experts and teams across the organization to ensure quality data is collected, recorded, and reported in a timely and informative way for managers. Managing initiatives that support learning and development data quality, including skills development, communications, and guidelines for educators, facilitators, experts, and coordinators. Present performance reports, audits, and presentations to management team, with recommendations for quality improvement and efficient knowledge management processes. Establish statistical models that provide richer knowledge and insights to performance, gaps, and patterns for workforce development plans and annual learning and development planning cycle. Develop data visualization models to support managers in their decision-making and the strategy planning cycle. Perform data modeling and reporting for the management team from education and health sectors. Analyze large and diverse datasets from across the organization for L&D and those supported externally through external partner stakeholder groups. Analyze existing tools and databases and provide software solution recommendations. Write comprehensive reports for directorate management team. Developing Learning Management System tracking, management, and reporting module, with advanced programming skills to include development of data management processes supported by (but not limited to) programming languages, such as SQL, Oracle, and Python. Collecting and interpreting workforce learning and development data from data management tools and systems across PHCC. Analyzing results with statistical evidence to support KPIs, L&D performance, and quality. Producing data reports and data models for SMT to support decisions, strategy updates, and performance, with data visualization, development of report programs, presentation, maintenance of data integrity processes. Identifying patterns and trends in datasets through the use of program models, making recommendations for the management team on quality improvement or efficiency measures required. Working alongside teams to establish directorate needs for data management, and developing teams in data management, presentation, and reporting. Developing data management and knowledge management skills for team members and those supporting the learning and development cycle. Defining enhanced data collection and analysis processes, including management of data management system, directorate dashboard, balanced scorecard, and reporting cycle. Benchmarking effective knowledge management models, practice, and tools for health care workforce development. Supporting enhanced PHCC Learning Management System development and performance reporting updates for PHCC balanced scorecard. Providing technical expertise in data storage structures, data mining, and data cleansing. Development of knowledge management standards and models for directorate plans, PHCC Corporate Strategic Plan, delivery, and outcomes. Assessment and evaluation of newly introduced initiatives for quality improvement cycle and further development of knowledge – data management processes and models. The incumbent will undertake any such appropriate duties or responsibilities as directed. Ensure high standards of confidentiality to safeguard any sensitive information. Requirements

Bachelor’s degree in information technology, computer science, statistics, and/or mathematics, economics, or information management. Post Graduate Degree is preferred. Professional certification to include IT, programming or coding, statistical software, knowledge management, data management and analytics, education management, healthcare management or general management. 5 years’ experience in a specialist data analyst role working in the education or health sector. Other professional experience being considered for this role as an essential requisite includes: Management of health care data or business intelligence experience. IT professional certification, programming and statistical software, and data management. Developing data management, analysis, and reporting skills for team members. Performance reporting for strategy implementation, audit progress, standards compliance and governance, and decision-making processes supporting middle management teams. Strong verbal, presentation, and written communication skills. An analytical mind for problem-solving, making recommendations for performance and quality improvements. Attention to detail; interpreting data for meaningful action plans supporting directorate KPIs, with accuracy and attention to detail. Methodical and logical approach to problem solving and recommendations within context of business plan implementation and improvement to knowledge management practice. Strong interpersonal skills and teamwork across immediate team and stakeholders across PHCC. Risk and change management with impact assessment, including adoption of new innovative solutions to data management and knowledge. Bilingual in Arabic and English language (preference as data sets and management will include interpreting data in both languages, as well as business communications).

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Responsibilities:

1. Responsible for the sales data analysis of KA channels.
2. Identify business issues of the KA channel in various countries through data analysis, and communicate with distributors and sales teams to find solutions.
3. Coordinate the access of various products to KA channels in different countries and follow up on sales performance.

Qualifications:

1. More than three years of working experience in the mobile phone or consumer electronics industry, with experience in Qatar or Oman preferred.
2. Experience in sales management of KA channels and familiarity with the business model of KA channels.
3. Proficient in using Excel for data analysis.

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Analyst

Industries

• Technology, Information and Media

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Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Xiaomi Technology. Responsibilities: Responsible for the sales data analysis of KA channels. Identify business issues of the KA channel in various countries through data analysis, and communicate with distributors and sales teams to find solutions. Coordinate the access of various products to KA channels in different countries and follow up on sales performance. Qualifications: More than three years of working experience in the mobile phone or consumer electronics industry, with experience in Qatar or Oman preferred. Experience in sales management of KA channels and familiarity with the business model of KA channels. Proficient in using Excel for data analysis. Seniority level

Entry level Employment type

Full-time Job function

Analyst Industries

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Job Summary

You will be responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models, and will also design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies.

Job Summary

You will be responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models, and will also design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies.

You will work across the ML stack, from researching models, working with large datasets, training, and tuning existing models to creating new models, deploying them at scale, analyzing results, and presenting findings to stakeholders across tech and business domains.

Job Objectives

• Develop and implement advanced predictive models to optimize customer experiences and other business outcomes
• Analyze large and complex datasets to extract actionable insights and drive business decisions
• Interpret results and provide actionable insights to guide real-time decision-making within the business context
• Collaborate with cross-functional teams to ensure proper deployment and integration of ML models for new releases
  
  

Job Responsibilities

Predictive Modeling and Deployment

• Develop and implement advanced predictive models to forecast key business metrics such as sales, customer churn, or product demand
• Utilize predictive modeling to optimize customer experiences and other business outcomes
• Execute machine learning models, algorithms, and statistical techniques to analyze historical data and ensure scalability and efficiency
  
  

Data Preparation and Analysis

• Develop and use advanced software programs, algorithms, and query techniques to cleanse, integrate, and evaluate datasets for model inputs
• Analyze large and complex datasets to extract actionable insights and identify trends and patterns that can drive business decisions
• Identify manual human processes, understand user behaviors, and analyze use cases that can be augmented or automated
  
  

Model Deployment and Interpretation

• Deploy models into production environments and monitor their performance over time
• Apply statistical, mathematical, and predictive modeling techniques to build, maintain, and improve real-time decision systems
• Interpret results, develop insights within the business context, and provide guidance on risks and limitations
  
  

Development & Documentation

• Write the code as per agreed software design rules to keep it aligned with the rest of the code base
• Code the final implementation that the generated code is referring to
• Follow company software data protection and security guidelines in developing software
• Accurately estimate the time needed to complete an assigned task
• Identify possible causes of issues or problems
• Think through and recommend solutions when raising issues around code, requirements, etc
• Write technical design documentation that fully defines all application code
• Maintain detailed knowledge of iHorizons products and services
• Understand the business impact for labs outcomes
  
  

Collaboration & Team Guidance

• Stay updated on the latest research, learn new applications, tools, and technologies in the fields of data science and machine learning through intensive and focused effort
• Collaborate with technical and non-technical business partners to develop analytical dashboards describing ML algorithm findings to stakeholders
• Collaborate with other teams to perform code reviews and oversee proper deployment for new releases
• Actively mentor and support mid-level and junior developers in their professional growth
• Provide guidance on best practices in machine learning, code reviews, and project design
• Foster an inclusive and collaborative environment that encourages continuous learning and development within the team
• Oversee interactions with vendors and third-party service providers, including collaborating on the design and implementation of technical architectures, and acting as a point of contact for resolving technical issues. Maintain clear communication with internal stakeholders regarding vendor-related activities, updates, and issues to facilitate smooth collaboration and decision-making processes
  
  

Job Requirements

Educational Qualification

• Bachelor's degree in data science, statistics, and computer science is a MUST
  
  

Previous Work Experience

• 3-4+ Years of experience in data science or machine learning
• Must have strong experience in at least one of the following areas:
• Vision models
• NLP models (Experience in Arabic NLP is a huge plus)
  
  

Skills And Abilities

• Proficient in python, TensorFlow, keras and pytorch
• Good experience in:
• SQL and non-relational databases
• Data analytics reports generation
• ML model development deployment
  
  

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Job Summary

You will be responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models, and will also design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies. Job Summary

You will be responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models, and will also design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies.

You will work across the ML stack, from researching models, working with large datasets, training, and tuning existing models to creating new models, deploying them at scale, analyzing results, and presenting findings to stakeholders across tech and business domains.

Job Objectives

Develop and implement advanced predictive models to optimize customer experiences and other business outcomes Analyze large and complex datasets to extract actionable insights and drive business decisions Interpret results and provide actionable insights to guide real-time decision-making within the business context Collaborate with cross-functional teams to ensure proper deployment and integration of ML models for new releases

Job Responsibilities

Predictive Modeling and Deployment

Develop and implement advanced predictive models to forecast key business metrics such as sales, customer churn, or product demand Utilize predictive modeling to optimize customer experiences and other business outcomes Execute machine learning models, algorithms, and statistical techniques to analyze historical data and ensure scalability and efficiency

Data Preparation and Analysis

Develop and use advanced software programs, algorithms, and query techniques to cleanse, integrate, and evaluate datasets for model inputs Analyze large and complex datasets to extract actionable insights and identify trends and patterns that can drive business decisions Identify manual human processes, understand user behaviors, and analyze use cases that can be augmented or automated

Model Deployment and Interpretation

Deploy models into production environments and monitor their performance over time Apply statistical, mathematical, and predictive modeling techniques to build, maintain, and improve real-time decision systems Interpret results, develop insights within the business context, and provide guidance on risks and limitations

Development & Documentation

Write the code as per agreed software design rules to keep it aligned with the rest of the code base Code the final implementation that the generated code is referring to Follow company software data protection and security guidelines in developing software Accurately estimate the time needed to complete an assigned task Identify possible causes of issues or problems Think through and recommend solutions when raising issues around code, requirements, etc Write technical design documentation that fully defines all application code Maintain detailed knowledge of iHorizons products and services Understand the business impact for labs outcomes

Collaboration & Team Guidance

Stay updated on the latest research, learn new applications, tools, and technologies in the fields of data science and machine learning through intensive and focused effort Collaborate with technical and non-technical business partners to develop analytical dashboards describing ML algorithm findings to stakeholders Collaborate with other teams to perform code reviews and oversee proper deployment for new releases Actively mentor and support mid-level and junior developers in their professional growth Provide guidance on best practices in machine learning, code reviews, and project design Foster an inclusive and collaborative environment that encourages continuous learning and development within the team Oversee interactions with vendors and third-party service providers, including collaborating on the design and implementation of technical architectures, and acting as a point of contact for resolving technical issues. Maintain clear communication with internal stakeholders regarding vendor-related activities, updates, and issues to facilitate smooth collaboration and decision-making processes

Job Requirements

Educational Qualification

Bachelor's degree in data science, statistics, and computer science is a MUST

Previous Work Experience

3-4+ Years of experience in data science or machine learning Must have strong experience in at least one of the following areas: Vision models NLP models (Experience in Arabic NLP is a huge plus)

Skills And Abilities

Proficient in python, TensorFlow, keras and pytorch Good experience in: SQL and non-relational databases Data analytics reports generation ML model development deployment

Powered by JazzHR

hnbS4cSttS

#J-18808-Ljbffr

Job Summary

You will be responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models, and will also design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies.

You will work across the ML stack, from researching models, working with large datasets, training, and tuning existing models to creating new models, deploying them at scale, analyzing results, and presenting findings to stakeholders across tech and business domains.

Reporting Structure

• This job reports to the Manager – AI.

Job Objectives

• Develop and implement advanced predictive models to optimize customer experiences and other business outcomes.

• Analyze large and complex datasets to extract actionable insights and drive business decisions.

• Interpret results and provide actionable insights to guide real-time decision-making within the business context.

• Collaborate with cross-functional teams to ensure proper deployment and integration of ML models for new releases.

Job Responsibilities

Predictive Modeling and Deployment

• Develop and implement advanced predictive models to forecast key business metrics such as sales, customer churn, or product demand.

• Utilize predictive modeling to optimize customer experiences and other business outcomes.

• Execute machine learning models, algorithms, and statistical techniques to analyze historical data and ensure scalability and efficiency.

Data Preparation and Analysis

• Develop and use advanced software programs, algorithms, and query techniques to cleanse, integrate, and evaluate datasets for model inputs.

• Analyze large and complex datasets to extract actionable insights and identify trends and patterns that can drive business decisions.

• Identify manual human processes, understand user behaviors, and analyze use cases that can be augmented or automated.

Model Deployment and Interpretation

• Deploy models into production environments and monitor their performance over time.

• Apply statistical, mathematical, and predictive modeling techniques to build, maintain, and improve real-time decision systems.

• Interpret results, develop insights within the business context, and provide guidance on risks and limitations.

Development & Documentation

• Write the code as per agreed software design rules to keep it aligned with the rest of the code base.

• Code the final implementation that the generated code is referring to.

• Follow company software data protection and security guidelines in developing software.

• Accurately estimate the time needed to complete an assigned task.

• Identify possible causes of issues or problems.

• Think through and recommend solutions when raising issues around code, requirements, etc.

• Write technical design documentation that fully defines all application code.

• Maintain detailed knowledge of iHorizons products and services.

• Understand the business impact for labs outcomes.

Collaboration & Team Guidance

• Stay updated on the latest research, learn new applications, tools, and technologies in the fields of data science and machine learning through intensive and focused effort.

• Collaborate with technical and non-technical business partners to develop analytical dashboards describing ML algorithm findings to stakeholders.

• Collaborate with other teams to perform code reviews and oversee proper deployment for new releases.

• Actively mentor and support mid-level and junior developers in their professional growth.

• Provide guidance on best practices in machine learning, code reviews, and project design.

• Conduct regular knowledge-sharing sessions, workshops, and one-on-one coaching to enhance the technical skills and problem-solving abilities of less experienced team members.

• Foster an inclusive and collaborative environment that encourages continuous learning and development within the team.

Job Requirements

Educational Qualification

• Bachelor's degree in data science, statistics, and computer science is a MUST.

Previous Work Experience

• 6+ Years of experience in data science or machine learning.

• Must have strong experience in at least one of the following areas:

• Vision models

• NLP models (Experience in Arabic NLP is a huge plus)

Skills and Abilities

• Proficient in python, TensorFlow, keras and pytorch.

• Good experience in:

• SQL and non-relational databases.

• Data analytics reports generation.

• ML model development deployment.

About iHorizons

iHorizons is a leading provider of business solutions and technology services in the Arab World. Headquartered in Doha, Qatar, we work with prominent clients to support their digital service migration journeys. The ultimate outcomes are radically improved customer experiences and increased operational efficiencies.

We are a forward-looking organization, always enhancing our methodologies and adopting new technologies so that we would serve our customers better and improve our position in the market. We have an outstanding culture, and we provide unique opportunities for career growth to all our staff.

#J-18808-Ljbffr

Job Summary You will be responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models, and will also design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies. You will work across the ML stack, from researching models, working with large datasets, training, and tuning existing models to creating new models, deploying them at scale, analyzing results, and presenting findings to stakeholders across tech and business domains. Reporting Structure This job reports to the Manager – AI.

Job Objectives Develop and implement advanced predictive models to optimize customer experiences and other business outcomes.

Analyze large and complex datasets to extract actionable insights and drive business decisions.

Interpret results and provide actionable insights to guide real-time decision-making within the business context.

Collaborate with cross-functional teams to ensure proper deployment and integration of ML models for new releases.

Job Responsibilities Predictive Modeling and Deployment Develop and implement advanced predictive models to forecast key business metrics such as sales, customer churn, or product demand.

Utilize predictive modeling to optimize customer experiences and other business outcomes.

Execute machine learning models, algorithms, and statistical techniques to analyze historical data and ensure scalability and efficiency.

Data Preparation and Analysis Develop and use advanced software programs, algorithms, and query techniques to cleanse, integrate, and evaluate datasets for model inputs.

Analyze large and complex datasets to extract actionable insights and identify trends and patterns that can drive business decisions.

Identify manual human processes, understand user behaviors, and analyze use cases that can be augmented or automated.

Model Deployment and Interpretation Deploy models into production environments and monitor their performance over time.

Apply statistical, mathematical, and predictive modeling techniques to build, maintain, and improve real-time decision systems.

Interpret results, develop insights within the business context, and provide guidance on risks and limitations.

Development & Documentation Write the code as per agreed software design rules to keep it aligned with the rest of the code base.

Code the final implementation that the generated code is referring to.

Follow company software data protection and security guidelines in developing software.

Accurately estimate the time needed to complete an assigned task.

Identify possible causes of issues or problems.

Think through and recommend solutions when raising issues around code, requirements, etc.

Write technical design documentation that fully defines all application code.

Maintain detailed knowledge of iHorizons products and services.

Understand the business impact for labs outcomes.

Collaboration & Team Guidance Stay updated on the latest research, learn new applications, tools, and technologies in the fields of data science and machine learning through intensive and focused effort.

Collaborate with technical and non-technical business partners to develop analytical dashboards describing ML algorithm findings to stakeholders.

Collaborate with other teams to perform code reviews and oversee proper deployment for new releases.

Actively mentor and support mid-level and junior developers in their professional growth.

Provide guidance on best practices in machine learning, code reviews, and project design.

Conduct regular knowledge-sharing sessions, workshops, and one-on-one coaching to enhance the technical skills and problem-solving abilities of less experienced team members.

Foster an inclusive and collaborative environment that encourages continuous learning and development within the team.

Job Requirements Educational Qualification Bachelor's degree in data science, statistics, and computer science is a MUST.

Previous Work Experience 6+ Years of experience in data science or machine learning.

Must have strong experience in at least one of the following areas:

Vision models

NLP models (Experience in Arabic NLP is a huge plus)

Skills and Abilities Proficient in python, TensorFlow, keras and pytorch.

Good experience in:

SQL and non-relational databases.

Data analytics reports generation.

ML model development deployment.

About iHorizons iHorizons is a leading provider of business solutions and technology services in the Arab World. Headquartered in Doha, Qatar, we work with prominent clients to support their digital service migration journeys. The ultimate outcomes are radically improved customer experiences and increased operational efficiencies. We are a forward-looking organization, always enhancing our methodologies and adopting new technologies so that we would serve our customers better and improve our position in the market. We have an outstanding culture, and we provide unique opportunities for career growth to all our staff.

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We are seeking a highly skilled and innovative Artificial Intelligence and Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying AI and ML models that drive impactful solutions across various domains, including education, data analytics, automation, and smart systems. You will work alongside interdisciplinary teams to integrate cutting-edge technologies into practical applications, transforming data into intelligent action.

Key Responsibilities:

1. Model Development & Deployment
   1. Design, train, evaluate, and deploy machine learning and deep learning models.
   2. Build and maintain scalable AI solutions for real-time or batch processing systems.
   3. Optimize model performance, including accuracy, latency, and resource consumption.
2. Data Engineering & Processing
   1. Collaborate with data engineers and analysts to source, clean, and transform data.
   2. Apply advanced statistical and data mining techniques to extract meaningful patterns.
3. Research & Innovation
   1. Stay updated with the latest advancements in AI and ML technologies.
   2. Prototype innovative solutions, contribute to research publications, and recommend adoption of new frameworks.
4. Systems Integration
   1. Develop APIs and services to integrate AI solutions into existing platforms or applications.
   2. Collaborate with software engineers and DevOps teams to ensure production-level stability.
5. Collaboration & Communication
   1. Work closely with academic and operational teams to understand business needs and translate them into technical solutions.
   2. Prepare documentation, reports, and presentation materials to communicate findings and methodologies.

Requirements Required Qualifications:

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field (Master’s or PhD preferred).
• Minimum 3 years of hands-on experience in AI/ML engineering or data science roles.
• Proficient in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras).
• Strong understanding of machine learning algorithms, neural networks, natural language processing (NLP), and computer vision.
• Experience in model deployment using cloud platforms (e.g., AWS, Azure, GCP) or containerized environments (Docker, Kubernetes).

Desirable Skills:

• Knowledge of MLOps tools and CI/CD pipelines for ML projects.
• Familiarity with big data platforms (e.g., Spark, Hadoop).
• Experience with academic or educational systems (LMS, AI in education) is a plus.
• Demonstrated contributions to open-source projects, research publications, or hackathons.

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Oryx Universal College in partnership with Liverpool John Moores University | Full time

Artifical Intelligence & Machine Learning Engineer

We are seeking a highly skilled and innovative Artificial Intelligence and Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying AI and ML models that drive impactful solutions across various domains, including education, data analytics, automation, and smart systems. You will work alongside interdisciplinary teams to integrate cutting-edge technologies into practical applications, transforming data into intelligent action.

Key Responsibilities:

• Design, train, evaluate, and deploy machine learning and deep learning models
  
• Build and maintain scalable AI solutions for real-time or batch processing systems.
  
• Optimise model performance, including accuracy, latency, and resource consumption.
  
• Collaborate with data engineers and analysts to source, clean, and transform data.
  
• Apply advanced statistical and data mining techniques to extract meaningful patterns.
  
• Stay updated with the latest advancements in AI and ML technologies.
  
• Prototype innovative solutions, contribute to research publications, and recommend adoption of new frameworks.
  
• Systems Integration
  
• Develop APIs and services to integrate AI solutions into existing platforms or applications.
  
• Collaborate with software engineers and DevOps teams to ensure production-level stability.
  
• Work closely with academic and operational teams to understand business needs and translate them into technical solutions.
  
• Prepare documentation, reports, and presentation materials to communicate findings and methodologies.
  

Requirements Required Qualifications:

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field (Master’s or PhD preferred).

Minimum 3 years of hands-on experience in AI/ML engineering or data science roles.

Proficient in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras).

Strong understanding of machine learning algorithms, neural networks, natural language processing (NLP), and computer vision.

Experience in model deployment using cloud platforms (e.g., AWS, Azure, GCP) or containerised environments (Docker, Kubernetes).

Knowledge of MLOps tools and CI/CD pipelines for ML projects.

Familiarity with big data platforms (e.g., Spark, Hadoop).

Experience with academic or educational systems (LMS, AI in education) is a plus.

Demonstrated contributions to open-source projects, research publications, or hackathons.

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