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Clixer Middle East FZC

Job Title: Home Tutor / Child Care TeacherLocation: Al Ghafeya, Sharjah Employment Type: Full-Time Working Days: Monday to Saturday Working Hours: 3:00 PM to 7:00 PM Gender: Female OnlyLanguage Requirement: Tagalog &amp; English Salary: 1000Job OverviewWe are looking for a caring, patient, and responsible Home Tutor / Child Care Teacher to support the educational development and daily care of two young children in a family home in Sharjah.The ideal candidate should have experience working with children and be able to create a positive, safe, and engaging learning environment.Children Details: Child 1<ul><li>Age: 6 Years</li><li>Grade: KG 2</li><li>Requires support with reading, writing, phonics, homework, and educational activities</li></ul>Child 2<ul><li>Age: 3 Years</li><li>Nursery Student</li><li>Requires assistance with basic learning, rhymes, activities, and supervised playtime</li></ul>Key Responsibilities<ul><li>Teach basic English, reading, writing, spelling, and phonics</li><li>Assist with homework and school-related activities</li><li>Conduct educational and age-appropriate learning activities</li><li>Engage children in creative, interactive, and developmental activities</li><li>Supervise children and ensure their safety and well-being</li><li>Support daily routines, hygiene, and positive discipline</li><li>Encourage learning through play and structured activities</li><li>Maintain a caring and nurturing environment</li></ul>Requirements<ul><li>Female candidate</li><li>Tagalog-speaking candidate preferred</li><li>Good English communication skills</li><li>Previous experience working with children, tutoring, teaching, or childcare</li><li>Friendly, patient, caring, and responsible personality</li><li>Ability to engage and motivate young children</li><li>Non-smoker</li><li>Available to join immediately</li></ul>What We Offer<ul><li>Stable and respectful family environment</li><li>Long-term opportunity for the right candidate</li><li>Salary based on qualifications and experience</li></ul>How to ApplyWhatsApp: +971 523465398 WhatsApp: +971 50 353 1397Subject: Home Tutor / Child Care Teacher ApplicationPay: From AED1,000.00 per monthWork Location: In person

Home tutor / teacher

The Princeton Review Middle East

Job DescriptionWe are looking for an energetic and confident individuals with a passion for teaching AP Physics. If you have a great work ethic and want to help millions of students reach their education goals then The Princeton Review is the right place for you.Eligibility Criteria:All candidates must have a degree in Education or in relevant subjects or a first degree with a Post Graduate teaching qualification Excellent in academic qualifications and subject knowledgeAt least 2 years relevant teaching experience, focusing on AP PhysicsJob Specifications:The successful candidate should have a wide range of teaching experience and be committed to the integration of all students within mainstream classes 1) Develop teaching plan for a semester. 2) Deliver AP Physics ( AP Physics 1: Algebra-Based , AP Physics 2: Algebra-Based , AP Physics C: Electricity &amp; Magnetism, AP Physics C: Mechanics ) lessons to the high school students.3) Exploit school-based curriculum.4) Tutor students and ensure good teaching quality.5) Communicate with parents and teachers, reflect problems in time.6) Cooperate the school&rsquo;s activities. 7) Finish the training task with quality and keep improving own performanceJob Types: Part-time, ContractWork Location: In person

AP Physics Teacher

ATHAR ACADEMY FOR TRANING AND DEVELOPMENT

Job Title: Science &amp; Mathematics Teacher (Full-Time)Location: Abu Dhabi, UAEAbout the Role: ATHAR Academy for Training and Development is seeking an experienced and highly qualified Science &amp; Mathematics Teacher to join our team on a full-time basis. The successful candidate will be responsible for teaching Mathematics, Science, and Physics to students across various grade levels and curricula, while supporting their academic achievement and examination preparation.Key Responsibilities:<ul><li>Teach Mathematics, Science, and Physics to students of different age groups and academic levels.</li><li>Provide academic support, enrichment, and exam preparation sessions.</li><li>Assess students&rsquo; learning needs and develop effective teaching plans.</li><li>Prepare educational materials, worksheets, and assessments.</li><li>Support students in overcoming academic challenges and improving subject mastery.</li><li>Monitor student progress and provide regular feedback to students and parents.</li><li>Maintain a positive, engaging, and results-oriented learning environment.</li></ul>Requirements:<ul><li>Bachelor's degree in Mathematics, Physics, Science, or a related field.</li><li>Proven teaching experience in educational centers or schools.</li><li>Strong knowledge and experience teaching the British Curriculum, American Curriculum, UAE Ministry Curriculum, and Partnership Schools Curriculum.</li><li>Ability to teach Mathematics and Science across multiple grade levels.</li><li>Excellent communication, classroom management, and student engagement skills.</li><li>Experience preparing students for school examinations and standardized assessments.</li><li>Passion for education and student success.</li></ul>Employment Type: Full-TimeLocation: MBZ City, Abu Dhabi, UAEPreferred:<ul><li>Candidates currently residing in the UAE.</li><li>Immediate availability is highly desirable.</li></ul>Pay: AED3,500.00 - AED5,000.00 per monthWork Location: In person

Math and Science Teacher (Female and Arabic Speaker Only)

Arab Monetary Fund

<div>
 
 
 Job Purpose:
 
 
 
 The Data Scientist supports the design and implementation of advanced data analytics solutions to enhance AMF&rsquo;s research, policy analysis, and decision-making capabilities. The role focuses on applying machine learning, AI, and statistical modelling to unlock insights, strengthen data integration, and advance innovation within the organization.
 
 
 
 
 
 Roles and Responsibilities
 
 
 Key Accountabilities
 
 <ul>
 <li>
 Design and implement statistical models, machine learning algorithms, and AI tools for large-scale structured and unstructured data
 </li>
 <li>
 Conduct predictive and prescriptive analytics to support economic and financial policy initiatives
 </li>
 <li>
 Continuously enhance models for performance, accuracy, and scalability
 </li>
 <li>
 Clean, transform, and manage diverse data sources using automated ETL pipelines
 </li>
 <li>
 Collaborate with IT to optimize data infrastructure for secure and efficient access
 </li>
 <li>
 Ensure data quality and alignment with organizational data architecture standards
 </li>
 <li>
 Partner with research teams on data-driven approaches for frontier topics (e.g., digital economy, AI, climate, financial innovation)
 </li>
 <li>
 Apply advanced techniques such as deep learning and NLP to enhance research
 </li>
 <li>
 Monitor developments in data science and introduce relevant tools and techniques
 </li>
 <li>
 Develop dashboards and visualizations to communicate insights to policymakers
 </li>
 <li>
 Create data storytelling outputs for publications, policy discussions, and training
 </li>
 <li>
 Ensure consistent and accessible data presentation across platforms and reports
 </li>
 <li>
 Comply with data protection regulations, internal policies, and ethical AI standards
 </li>
 <li>
 Support implementation of data governance frameworks and quality standards
 </li>
 <li>
 Participate in audits and compliance reviews related to data use and access
 </li>
 </ul>
 
 
 
 
 
 Job Qualifications and Requirements:
 
 
 
 
 
 
 
 Knowledge and Experience:
 
 
 <ul>
 <li>
 Minimum 5 years of experience in:
 </li>
 <li>
 Data science
 </li>
 <li>
 Machine learning
 </li>
 <li>
 Advanced analytics
 </li>
 <li>
 Preferably within economic, financial, or public policy sectors
 </li>
 <li>
 Proven ability to develop predictive models and deliver actionable insights
 </li>
 </ul>
 
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in:
 </li>
 <li>
 Data science
 </li>
 <li>
 Computer science
 </li>
 <li>
 Statistics
 </li>
 <li>
 Economics Or a related field
 </li>
 </ul>
 
 
 
 
 
 Certifications (Preferred):
 
 
 <ul>
 <li>
 Recognized certifications such as:
 </li>
 <li>
 Google Data Analytics
 </li>
 <li>
 IBM Data Science
 </li>
 <li>
 SAS
 </li>
 <li>
 CAP (Certified Analytics Professional)
 </li>
 </ul>
 
 
 
</div>

Data Scientist

Reneco International Wildlife Consultants LTD

<div>
 
 RENECO's mission is to implement a global conservation strategy aiming to restore and preserve the Houbara bustard populations of North Africa (
 
 Chlamydotis undulata
 
 ) and Asia (
 
 Chlamydotis macqueenii
 
 ). We deliver large-scale conservation, ecological monitoring, and applied research programmes across the Middle East, North Africa, Central Asia, and beyond. The organization combines conservation breeding programmes, long-term field expertise, and multidisciplinary scientific research to support evidence-based conservation strategies.
 
 
 
 
 
 Through its activities, RENECO generates and manages large and diverse datasets spanning ecology, demography, reproductive physiology, behaviour, veterinary science, conservation genomics, climate, and environmental monitoring. This strong research and data culture supports the development of advanced statistical, data science, and artificial intelligence approaches applied to wildlife conservation and biodiversity management.
 
 
 As part of our continued growth, we are seeking a dedicated Biostatistics/Data Scientist to join our team at Reneco Wildlife Consultancy, based in Abu Dhabi.
 
 
 
 
 
 This role combines advanced analytics, machine learning, AI, and operational implementation to deliver real-world impact and support conservation, environmental monitoring, and applied research initiatives
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Deliver statistical analyses, data interpretation, and reporting to support evidence-based decision-making across conservation and research projects.
 </li>
 <li>
 Clean, structure, integrate, and manage large, complex datasets while developing reliable data pipelines.
 </li>
 <li>
 Design, develop, and implement AI and Machine Learning models to address operational and scientific challenges.
 </li>
 <li>
 Develop and deploy AI-driven applications and operational solutions, including automated monitoring systems, sensor integration, dashboards, APIs, automated reporting, and intelligent decision-support tools.
 </li>
 <li>
 Collaborate with multidisciplinary teams, researchers, and international partners to bridge scientific research with practical applications.
 </li>
 <li>
 Ensure effective follow-up and implementation of collaborative projects with universities, research institutions, and external stakeholders.
 </li>
 <li>
 Generate actionable insights by identifying patterns, trends, and anomalies within environmental, biological, and operational datasets.
 </li>
 <li>
 Support the adoption of innovative data science and artificial intelligence approaches across conservation and environmental intelligence initiatives.
 </li>
 <li>
 Contribute to capacity building, knowledge transfer, and team coordination and management.
 </li>
 <li>
 Communication of scientific findings (per review article, conferences) and supervision of students.
 </li>
 </ul>
 
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 PhD in Data Science, Artificial Intelligence, Machine Learning, Computer Science, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Professional Experience &amp; Skills:
 
 
 <ul>
 <li>
 2&ndash;5 years of experience in Data Science, Machine Learning, and/or Artificial Intelligence (academic or industry).
 </li>
 <li>
 Proven experience developing and implementing AI/ML models on real-world datasets.
 </li>
 <li>
 Exposure to environmental, biological, ecological, or conservation-related datasets would be highly beneficial.
 </li>
 <li>
 Strong proficiency in Python and/or R for statistical analysis, machine learning, and data visualization.
 </li>
 <li>
 Strong proficiency in SQL and database management.
 </li>
 <li>
 Solid understanding of machine learning methodologies, model evaluation, and validation techniques.
 </li>
 <li>
 Ability to analyse, clean, and manage large and complex datasets.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and analytical pipeline development.
 </li>
 <li>
 Familiarity with modern AI applications, including LLMs, AI agents, computer vision, and geospatial analytics.
 </li>
 <li>
 Knowledge of cloud computing environments, MLOps practices, Docker, and model deployment frameworks is an advantage.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Fluent English is required. French and/or Arabic would be a strong advantage.
 </li>
 </ul>
 
 
</div>

Biostatistician & Data Science Specialist

The American University in the Emirates (AUE)

<div>
 
 American University in the Emirates (AUE)
 
 is seeking a dedicated and reliable
 
 Service Personnel
 
 to support departmental operations by providing general service assistance, attending to visitors and staff, and performing a variety of housekeeping and clerical support duties. The successful candidate will contribute to maintaining a clean, organized, and welcoming environment across the University campus.
 
 
 
 Salary &amp; Benefits
 
 
 
 <ul>
 <li>
 Salary: AED 2,500 per month
 </li>
 <li>
 Additional benefits as per University policy
 
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experience
 
 
 
 
 Education
 
 
 
 <ul>
 <li>
 High School Diploma or equivalent qualification
 
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 1-3 years of relevant work experience
 
 
 
 </li>
 </ul>
 
 Skills &amp; Competencies
 
 
 
 <ul>
 <li>
 Ability to work under pressure and meet operational requirements
 </li>
 <li>
 Flexible with working hours and shift schedules
 </li>
 <li>
 Strong organizational and interpersonal skills
 </li>
 <li>
 Ability to follow instructions and work effectively as part of a team
 
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Ensure that campus facilities, offices, and corridors are maintained in a clean and orderly condition at all times.
 </li>
 <li>
 Empty waste bins, recyclables, and other waste materials in accordance with the maintenance schedule.
 </li>
 <li>
 Dust and clean light fixtures, ceilings, and other high areas using appropriate equipment and safety procedures.
 </li>
 <li>
 Clean and polish office furniture and equipment.
 </li>
 <li>
 Assist with moving furniture and equipment for periodic cleaning, events, and office relocations.
 </li>
 <li>
 Monitor cleaning supplies and equipment and report shortages, malfunctions, or maintenance concerns to the appropriate personnel.
 </li>
 <li>
 Ensure pantries are adequately stocked and maintained.
 </li>
 <li>
 Arrange refreshments and related supplies for University events and activities.
 </li>
 <li>
 Report building maintenance issues observed during daily duties.
 </li>
 <li>
 Perform additional duties and special projects as assigned by supervisors in support of departmental objectives.
 
 
 
 </li>
 </ul>
 
 At AUE, we believe Nothing is Impossible is the Pathway to Success
 
 
 
 AUE comprises seven dynamic colleges: College of Law, College of Education, College of Health Science, College of Design, College of Business Administration, College of Media and Mass Communication, College of Computer Information Technology and College of Security and Strategic Studies. Each college boasts unique strengths and prestigious accreditations, reflecting our commitment to providing a world-class education.
 
 
 The American University in the Emirates is accredited by
 
 SACSCOC
 
 (the Southern Association of Colleges and Schools Commission on Colleges) to award baccalaureate and master&rsquo;s degrees. Degree-granting institutions also may offer credentials such as certificates and diplomas at approved degree levels
 
 
 The American University in the Emirates is officially licensed to operate as a higher education institution and all its programs are accredited by CAA (the Commission for Academic Accreditation), Ministry of Education, United Arab Emirates.
 
 
 The
 
 College of Business Administration
 
 is a proud member of
 
 AACSB
 
 (The Association to Advance Collegiate Schools of Business), and its degree programs (Bachelor of Business Administration, Master of Business Administration, Master of Sport Management) are accredited by
 
 AACSB
 
 ) as of 2022.
 
 
 The Bachelor of Computer Science in the College of
 
 Computer Information Technology
 
 is accredited by the Computing Accreditation Commission of
 
 ABET
 
 .
 
 
 
 NASAD
 
 (The National Association of Schools of Art and Design) has granted the Bachelor of Science in Fashion Design, Bachelor of Science in Graphic Design, Bachelor of Science in Interior Design, and Bachelor of Science in Animation in the
 
 College of Design
 
 , the designation of Substantial Equivalency with accredited programs in the United States.
</div>

Service Personnel

COBBLESTONE

<div>Employment Type: Full-time &amp; Permanent

Location: Dubai, UAE (Visa sponsorship and relocation assistance provided)

Annual Base Salary: range of $80,000 - $110,000 per annum + performance-based bonus - 0% tax environment + opportunity to join our employee share scheme

Annual Leave: 30 Calendar Days

Public Holidays: As declared by UAE Government annually (8 to 14 days)

Working Days: Monday &ndash; Friday

Probation Period: 3 to 6 Months (As per UAE Labour Law)

Health Insurance: Comprehensive Private Health Insurance (IPD, OPD &amp; Dental)

Residency Visa Sponsorship: Provided by the Company

Relocation Support: Available for candidates relocating to Dubai

End of Service Gratuity: As per UAE Labour Law 

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence. 

Cobblestone Values
<ul>
<li>Excellence in Hiring &amp; Teamwork</li>
<li>Lifelong Learning Through Continuous Reflection</li>
<li>Independent Thinking Through a Meritocracy of Ideas</li>
<li>Winning</li></ul> 
 
Role Description:

We are seeking a highly motivated and talented Data Scientist to join our dynamic team. With a passion for data-driven solutions and a strong academic background, the successful candidate will play a critical role in shaping business decisions and driving operational excellence through advanced analytics, predictive modelling, and the strategic implementation of Generative AI/LLM technologies. 

What we offer in this role
<ul>
<li>A full-time, high-impact position within our dynamic Commercial team.</li>
<li>A team of exceptional colleagues, committed to continuous learning and pushing the boundaries of what's possible.</li>
<li>A career that challenges you to solve complex problems and rewards your drive for continuous innovation.</li>
<li>A unique opportunity to work on impactful projects, making independent decisions that drive real-world outcomes.</li>
<li>The chance to take full ownership of new projects, making high-impact decisions in a dynamic environment.</li>
<li>Equity participation, ensuring long-term alignment</li></ul> 
 
Key Responsibilities:
<ul>
<li>Analyse large, complex datasets to generate actionable insights that inform trading and commercial decisions.</li>
<li>Develop, deploy, and maintain predictive models to support market forecasting and trading strategy optimisation (e.g., time-series models, regression, tree-based methods).</li>
<li>Architect and implement production-ready AI/LLM solutions, such as Retrieval-Augmented Generation (RAG) pipelines or task-specific agents, integrated programmatically into analytical workflows (e.g., via APIs, LangChain, LlamaIndex).</li>
<li>Build, automate, and own end-to-end data workflows covering data ingestion, cleaning, feature generation, and model training, leveraging tools such as Python, SQL, Airflow, pandas, and workflow orchestration platforms (e.g., n8n or similar).</li>
<li>Apply advanced data science techniques, including synthetic data generation where appropriate, to improve model robustness, scalability, and operational efficiency.</li>
<li>Collaborate closely with traders and cross-functional stakeholders to translate business problems into high-quality, data-driven solutions.</li>
<li>Communicate insights and model outputs clearly and concisely, ensuring analytical work drives measurable trading and commercial impact.</li></ul> 
 
Requirements:
<ul>
<li>2-3 years of experience in data science or a related field, with a demonstrated record of achieving exceptional results.</li>
<li>Strong academic background in computer science, mathematics, statistics, or a related field</li>
<li>Outstanding problem-solving and critical thinking skills, capable of addressing complex, high-impact challenges.</li>
<li>Expertise in Python programming, with an ability to apply it to advanced data science problems.</li>
<li>Applied AI Proficiency: Demonstrated practical experience programmatically integrating LLMs (via APIs or frameworks like LangChain/LlamaIndex) into data pipelines or analytical applications.</li>
<li>Automation Focus: Proven ability to design and implement automated, end-to-end data workflows that leverage AI for efficiency gains.</li>
<li>Knowledge of machine learning algorithms and data visualization tools</li>
<li>Exceptional communication and collaboration skills, with a demonstrated ability to excel in fast-paced, cross-functional environments</li>
</ul>
This is an outstanding opportunity for a driven and talented Data Scientist to join an innovative trading company and make a significant impact on our business operations. If you possess a passion for data science and a proven track record of success, we encourage you to apply.

Note: Experience in the power trading domain is highly desirable but not essential. We value exceptional talent and the ability to learn quickly. 


Learn more about Cobblestone Energy careers: 
https://cobblestoneenergy.com/careers/

Why work with us: 
https://cobblestoneenergy.com/why-work-with-us/

Recruitment process: 
https://cobblestoneenergy.com/careers/vacancies/#process</div>

Data Scientist - Dubai, UAE

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