21 Data Analysis Techniques jobs in Abu Dhabi

A job opportunity exists for 6 positions in India.

The ideal candidate will have extensive experience and a strong academic background.

We are seeking highly skilled professionals for our client in Abu Dhabi:

• 2x Senior Machine Learning Engineers/Data Scientists
• 4x Software Developers

Data Science & Machine Learning Role

• Familiarity with Artificial Intelligence, Machine Learning, Reinforcement Learning is required.
• Experience with Large Language Models (LLMs) and fine-tuning LLMs is necessary.
• A Master's or PhD degree in AI, Data Science, Statistics, Computer Science is preferred.
• Proficiency in programming languages such as Python or R is essential.
• Candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle, and other competitions are highly valued.
• Strong analytical and statistical modeling skills are required.
• Experience with machine learning frameworks (e.g., sci-kit-learn, TensorFlow, PyTorch) is necessary.
• A proven track record of applying data science to solve real-world problems is expected.
• Excellent communication and collaboration skills are crucial.

We require a resume/CV and relevant information to consider your application.

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At the forefront of innovation, we are seeking a visionary to spearhead our machine learning initiatives. With an unwavering commitment to advancing cutting-edge technologies, this role demands exceptional leadership skills and a proven track record in delivering impactful AI/ML-driven solutions.

Requirements:

• Master's or PhD in Computer Science, Machine Learning, Data Science, or related field with a strong theoretical foundation in machine learning, algorithms, and statistics.
• At least 7 years of experience in data science or ML engineering roles, with a minimum of 2 years in technical leadership positions guiding engineers or researchers.
• Proven ability to deliver AI/ML-driven features or products to market.

Key Skills:

• Proficiency in Python and common ML libraries such as TensorFlow, PyTorch, scikit-learn, and pandas.
• Experience with data pipeline tools like Spark, Kafka, or similar, and deploying models in production environments using cloud services or on-device inference.
• Solid understanding of classical algorithms and deep learning techniques.

Preferred Experience:

• Health Tech or Related Industries: Experience in healthtech, medtech, or fitness analytics working on biometric algorithms, predictive health models, or digital therapeutics is desirable.
• Leadership & Communication: Experience presenting findings to executives or non-technical stakeholders, articulating the value of ML initiatives in terms of user impact or ROI is necessary.
• Full-Stack ML: Familiarity with the entire ML stack from signal processing and feature engineering to building customer-facing UI that displays ML results is preferred.
• Continuous Learning: Evidence of staying current through publications, ML competitions, patents, or open-source contributions is required.

Awarding Benefits:

• Candidates will have opportunities for growth and development within a collaborative environment.
• Exceptional ability to break down complex problems and invent original solutions is highly valued.

Additional Requirements:

• Experience working with time-series data or biosignals is a strong plus.
• Familiarity with NLP for conversational agents or Q&A systems is beneficial.

What We Offer:

• Passion for learning and applying new technologies is essential.
• Collaborative environment fostering creativity and innovation.

Reports to : Chief Digital Transformation Officer

Location : Abu Dhabi, United Arab Emirates

Grade : SO7 / CG12

Date Published : 13 May 2025

Closing Date for Applications : 4 June 2025 at 16 : 00 CEST

About CGIAR

CGIAR is a global research partnership for a food-secure future. CGIAR science is dedicated to reducing poverty, enhancing food and nutrition security, and improving natural resources and ecosystem services. Its research is conducted closely with hundreds of partners, including national and regional research institutes, civil society organizations, academia, development organizations, and the private sector.

About the position

Data is the foundation of scientific innovation and institutional transformation. As CGIAR advances a bold agenda to transform food, land, and water systems, the Practice Lead for Data Science will be responsible for designing and delivering CGIAR’s institutional data strategy—ensuring data is findable, accessible, interoperable, and reusable (FAIR), while driving data-driven impact across both science and operations.

CGIAR’s Digital Transformation Accelerator (DTA), part of its P25 portfolio, is driving the digital transformation of CGIAR and it’s mission. With strong institutional and human capacity, the DTA aims to harness the power of ML, LLMs and other AI approaches, robotics, data science, and cybersecurity to create global public goods that enable smallholder farmers to benefit from the digital revolution, the DTA therefore aims to pave the way for a more equitable, sustainable, and inclusive transformation of small-holder production systems.

A key enabler of the DTA is strategic partnerships with leading technology companies and experts. The UAE Presidential Court has pledged support for the establishment of a CGIAR AI Hub in Abu Dhabi (Hub). The Hub will provide essential AI, data, cyber security capacities to CGIAR’s science programs, Centers, partners, and technology actors, offering direct access to key players in the global technology ecosystem. Through collaborations, the Hub will co-develop innovations such as, agriculture-specific LLMs and computer-vision-assisted phenotyping approaches.

Based in Abu Dhabi at the Hub and hosted by the UAE’s Advanced Technology Research Council (ATRC), the Practice Lead for Data Science will work at the forefront of CGIAR’s global data ecosystem transformation. The role will be instrumental in leading CGIAR’s shift toward federated, AI-ready, and user-centric data systems—bridging innovation and inclusion to support science, decision-making, and operational excellence.

Key Responsibilities

Purpose

• Lead the development and implementation of CGIAR’s institutional data strategies, spanning research, operations, governance, and knowledge systems.
• Oversee the design and governance of CGIAR’s federated data ecosystem, ensuring alignment with FAIR principles and enabling AI-readiness across Centers, platforms, and programs.
• Advance data, interoperability, and stewardship, supporting cross-program collaboration, science delivery, and institutional performance.
• Champion responsible data governance, ensuring data ethics, protection, equity, and inclusivity are embedded across CGIAR’s data lifecycle.
• Mobilize partnerships and funding to support CGIAR’s data transformation agenda, working with governments, philanthropic actors, multilaterals, and technology providers.
• Identify, communicate, and mitigate potential risks associated with institutional data systems and data management, in line with the CGIAR System risk management framework.

Engagement

Delivery

Requirements

Education and Experience

Key Competencies

Language

Benefits

The successful candidate will be employed by the CGIAR System Organization.

The CGIAR System Organization is an equal opportunity employer and offers competitive compensation with favorable taxation arrangements and, subject to eligibility, comprehensive employee benefits comprising extensive insurance coverage, a retirement plan, an education grant, and relocation support at the start of the appointment and upon conclusion of appointment for staff members and eligible dependents.

System Organization appointments are typically for a fixed term of three years, with a possibility of renewal subject to effective performance, operational needs, and funding.

Submitting Your Application

All applications must be submitted online by clicking the 'Apply' button below. If you require assistance or face challenges in submitting your application, please email with the position title in the subject line. Please note we will not accept applications through this email.

Please ensure that your resume and cover letter are in English and do not contain your marital status, age, or photograph. Documents provided in a language other than English will not be considered.

CGIAR is committed to fair, safe, and inclusive workplaces. We believe that diversity powers our innovation contributes to our excellence, and is critical for our mission. We offer a multi-cultural, multi-color, multi-generational, and multi-disciplinary, collegial working environment, with a competitive salary, excellent benefits, and flexible working arrangements. We consciously create an inclusive organization that reflects our global character and commitment to gender equity. We, therefore, encourage applicants from all cultures, races, ethnicities, religions, sexes, national or regional origins, ages, disability status, sexual orientations, and gender identities. If you require accommodation due to a disability, please email your request to and include “Diversity and Inclusion Accommodation” in the subject line.

All received applications will be acknowledged; however, only shortlisted applicants will be contacted.

We look forward to hearing from you!

Reports to : Chief Digital Transformation Officer

Location : Abu Dhabi, United Arab Emirates

Grade : SO7 / CG12

Date Published : 13 May 2025

Closing Date for Applications : 4 June 2025 at 16 : 00 CEST

About CGIAR

CGIAR is a global research partnership for a food-secure future. CGIAR science is dedicated to reducing poverty, enhancing food and nutrition security, and improving natural resources and ecosystem services. Its research is conducted closely with hundreds of partners, including national and regional research institutes, civil society organizations, academia, development organizations, and the private sector.

About the position

Data is the foundation of scientific innovation and institutional transformation. As CGIAR advances a bold agenda to transform food, land, and water systems, the Practice Lead for Data Science will be responsible for designing and delivering CGIAR's institutional data strategy—ensuring data is findable, accessible, interoperable, and reusable (FAIR), while driving data-driven impact across both science and operations.

CGIAR's Digital Transformation Accelerator (DTA), part of its P25 portfolio, is driving the digital transformation of CGIAR and it's mission. With strong institutional and human capacity, the DTA aims to harness the power of ML, LLMs and other AI approaches, robotics, data science, and cybersecurity to create global public goods that enable smallholder farmers to benefit from the digital revolution, the DTA therefore aims to pave the way for a more equitable, sustainable, and inclusive transformation of small-holder production systems.

A key enabler of the DTA is strategic partnerships with leading technology companies and experts. The UAE Presidential Court has pledged support for the establishment of a CGIAR AI Hub in Abu Dhabi (Hub). The Hub will provide essential AI, data, cyber security capacities to CGIAR's science programs, Centers, partners, and technology actors, offering direct access to key players in the global technology ecosystem. Through collaborations, the Hub will co-develop innovations such as, agriculture-specific LLMs and computer-vision-assisted phenotyping approaches.

Based in Abu Dhabi at the Hub and hosted by the UAE's Advanced Technology Research Council (ATRC), the Practice Lead for Data Science will work at the forefront of CGIAR's global data ecosystem transformation. The role will be instrumental in leading CGIAR's shift toward federated, AI-ready, and user-centric data systems—bridging innovation and inclusion to support science, decision-making, and operational excellence.

Key Responsibilities

Purpose

• Lead the development and implementation of CGIAR's institutional data strategies, spanning research, operations, governance, and knowledge systems.
• Oversee the design and governance of CGIAR's federated data ecosystem, ensuring alignment with FAIR principles and enabling AI-readiness across Centers, platforms, and programs.
• Advance data, interoperability, and stewardship, supporting cross-program collaboration, science delivery, and institutional performance.
• Champion responsible data governance, ensuring data ethics, protection, equity, and inclusivity are embedded across CGIAR's data lifecycle.
• Mobilize partnerships and funding to support CGIAR's data transformation agenda, working with governments, philanthropic actors, multilaterals, and technology providers.
• Identify, communicate, and mitigate potential risks associated with institutional data systems and data management, in line with the CGIAR System risk management framework.

Engagement

Delivery

Requirements

Education and Experience

Key Competencies

Language

Benefits

The successful candidate will be employed by the CGIAR System Organization.

The CGIAR System Organization is an equal opportunity employer and offers competitive compensation with favorable taxation arrangements and, subject to eligibility, comprehensive employee benefits comprising extensive insurance coverage, a retirement plan, an education grant, and relocation support at the start of the appointment and upon conclusion of appointment for staff members and eligible dependents.

System Organization appointments are typically for a fixed term of three years, with a possibility of renewal subject to effective performance, operational needs, and funding.

Submitting Your Application

All applications must be submitted online by clicking the 'Apply' button below. If you require assistance or face challenges in submitting your application, please email with the position title in the subject line. Please note we will not accept applications through this email.

Please ensure that your resume and cover letter are in English and do not contain your marital status, age, or photograph. Documents provided in a language other than English will not be considered.

CGIAR is committed to fair, safe, and inclusive workplaces. We believe that diversity powers our innovation contributes to our excellence, and is critical for our mission. We offer a multi-cultural, multi-color, multi-generational, and multi-disciplinary, collegial working environment, with a competitive salary, excellent benefits, and flexible working arrangements. We consciously create an inclusive organization that reflects our global character and commitment to gender equity. We, therefore, encourage applicants from all cultures, races, ethnicities, religions, sexes, national or regional origins, ages, disability status, sexual orientations, and gender identities. If you require accommodation due to a disability, please email your request to and include "Diversity and Inclusion Accommodation" in the subject line.

All received applications will be acknowledged; however, only shortlisted applicants will be contacted.

We look forward to hearing from you

Join to apply for the Data Science Lead – Artificial Intelligence role at Dicetek LLC

• Lead AI-driven projects, overseeing the development and deployment of advanced machine learning models and algorithms.
• Collaborate with cross-functional teams to integrate AI solutions into business processes.
• Research and implement cutting-edge AI techniques, including deep learning, NLP, and generative models.
• Mentor junior team members and promote best practices in AI development.

• Master’s degree or higher in Data Science, Computer Science, Statistics, or a related field; PhD preferred.
• Experience in Generative AI, Machine Learning, or NLP, especially in academic or financial sectors.
• Proven research record with publications and significant project contributions involving AI technologies.

• Expertise in machine learning, deep learning (CNNs, RNNs, GANs), and transformer models for NLP.
• Experience with algorithms like RAG, LoRA, and ensemble methods; optimizing for performance and scalability.
• Strong knowledge of data architecture, data pipelines, and cloud deployment (AWS, Azure, GCP).
• Proficiency in NLP libraries such as NLTK, spaCy, Hugging Face Transformers.

• Seniority level: Not Applicable
• Employment type: Contract
• Job function: Engineering and IT
• Industries: IT Services and Consulting

This job posting is active and not expired.

We want to crack the hardest challenges in systematic investing.

ADIA’s Quantitative Research & Development team works in a multidisciplinary environment, where experts with deep specializations pioneer new ways to think about investing, and put these ideas into practice.

Our team leverages data to enable the research, development and implementation of quantitative investment strategies by providing comprehensive, clean, and actionable data as well as building robust, efficient, and scalable technology.

• Data Ingestion & Cleansing: Develop pipelines to clean, tag and integrate new data sources.
• Data Analysis: Generate descriptive statistics, uncover valuable patterns and present potential applications of datasets.
• Data Infrastructure: Maintain automated systems for data collection, cleaning and retrieval.

• Education: Ph.D. or Masters in a quantitative discipline or equivalent experience.
• Experience: 3+ years in data science.
• Technical Skills: Strong proficiency in SQL and Python, as well as proficiency in at least one other language. Cloud experience and familiarity with financial data sets are a plus.
• Analytical Skills: Experience with applying analytical and statistical techniques to large real-world datasets.
• Problem Solving & Communication: Ability to solve complex problems and communicate findings to technical and non-technical stakeholders.
• Passion for Data: Curiosity and desire to learn new methods and technologies.

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MBZUAI is an open invitation to the world to collaborate on AI at a leading artificial intelligence university in a thriving, innovative and multic.

Mohamed bin Zayed University of Artificial Intelligence: Academic Affairs Division: Statistics and Data Science

Location

Open Date

Mar 20, 2026

Description

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Faculty. The Department of Statistics and Data Science invites applications for an open-rank, tenured/tenure-track faculty position in Statistics and Data Science. We seek researchers with strong potential in both theoretical and applied statistics. The successful candidate will contribute to high-quality instruction, mentor graduate students, shape curriculum development, and engage in interdisciplinary research at the intersection of statistics, data science, and artificial intelligence(AI).

Faculty members at MBZUAI have the unique opportunity to collaborate with top AI researchers, work on cutting-edge projects, and contribute to MBZUAI’s mission of AI excellence. Our rapidly growing institution is positioned as a global leader in AI, providing a vibrant academic environment and outstanding research support.

The Department of Statistics and Data Science at MBZUAI focuses on the rigorous statistical and probabilistic foundations of machine learning and data science. We emphasize computational methods for large-scale data and scalable inference techniques. Our current research includes areas such as statistical learning theory, high-dimensional statistics, causal inference, uncertainty quantification, fairness and interpretability in AI. We encourage interdisciplinary research, integrating statistical innovation with decision sciences, healthcare, climate science, and computational biology. Faculty members will have ample opportunities to collaborate with industry partners, government agencies, and research institutions to develop AI-driven solutions for real-world challenges.

Qualifications

This position requires a PhD in Statistics, Computer Science or a closely related field or expected completion by Fall 2025. Applicants from all areas of statistics are encouraged to apply, particularly those working at the intersection of statistics and machine learning. The ideal candidate will be an innovative scholar, advancing both statistical theory and its applications in AI-driven contexts.

Application Instructions

To apply for this position, please submit the following:

• Statement of research vision and interests
• Statement of teaching philosophy and experience
• List of publications
• Up to three representative publications
• Name and contact details for three referees (reference letters from applicants will not be accepted, each referee will be contacted to upload their reference letter via Interfolio)

MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.

Be a part of AI’s future – apply today at MBZUAI!

#MBZUAI #careeropportunities #AI

MBZUAI is an open invitation to the world to collaborate on AI at a leading artificial intelligence university in a thriving, innovative and multic.

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You have already applied for this position.For questions regarding your application, please contact the employer.For technical assistance, reach out to our support teamhere .

You have already applied for this position. You can instead create a job alert here .

Thank you for your application! An email confirmation has been sent to your email.

MBZUAI is an open invitation to the world to collaborate on AI at a leading artificial intelligence university in a thriving, innovative and multic.

Mohamed bin Zayed University of Artificial Intelligence: Academic Affairs Division: Statistics and Data Science

Location

Open Date

Mar 20, 2026

Description

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Faculty. The Department of Statistics and Data Science invites applications for an open-rank, tenured/tenure-track faculty position in Statistics and Data Science. We seek researchers with strong potential in both theoretical and applied statistics. The successful candidate will contribute to high-quality instruction, mentor graduate students, shape curriculum development, and engage in interdisciplinary research at the intersection of statistics, data science, and artificial intelligence(AI).

Faculty members at MBZUAI have the unique opportunity to collaborate with top AI researchers, work on cutting-edge projects, and contribute to MBZUAI’s mission of AI excellence. Our rapidly growing institution is positioned as a global leader in AI, providing a vibrant academic environment and outstanding research support.

The Department of Statistics and Data Science at MBZUAI focuses on the rigorous statistical and probabilistic foundations of machine learning and data science. We emphasize computational methods for large-scale data and scalable inference techniques. Our current research includes areas such as statistical learning theory, high-dimensional statistics, causal inference, uncertainty quantification, fairness and interpretability in AI. We encourage interdisciplinary research, integrating statistical innovation with decision sciences, healthcare, climate science, and computational biology. Faculty members will have ample opportunities to collaborate with industry partners, government agencies, and research institutions to develop AI-driven solutions for real-world challenges.

Qualifications

This position requires a PhD in Statistics, Computer Science or a closely related field or expected completion by Fall 2025. Applicants from all areas of statistics are encouraged to apply, particularly those working at the intersection of statistics and machine learning. The ideal candidate will be an innovative scholar, advancing both statistical theory and its applications in AI-driven contexts.

Application Instructions

To apply for this position, please submit the following:

• Statement of research vision and interests
• Statement of teaching philosophy and experience
• List of publications
• Up to three representative publications
• Name and contact details for three referees (reference letters from applicants will not be accepted, each referee will be contacted to upload their reference letter via Interfolio)

MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.

Be a part of AI’s future – apply today at MBZUAI!

#MBZUAI #careeropportunities #AI

MBZUAI is an open invitation to the world to collaborate on AI at a leading artificial intelligence university in a thriving, innovative and multic.

Brief about company :- Mazrui International - Diversified holding group with wide variety of businesses in Oil & Gas/Oilfield Services, Financial Investments, Real Estate, Construction, Retail, Trading, Distribution, Logistics, Transportation, Hospitality, Education etc.

Soothsayer (Joint Venture) is a US based technology company with a team of 120+ Data Scientists & Engineers that empower Fortune 1000 & Global 2000 companies to achieve success in Artificial Intelligence, Big Data, Data Analytics, Predictive Analytics, Generative AI, and Beyond. Our mission is to build innovative Data Science solutions for the problems of today and to proactively seek solutions for the problems of tomorrow. Soothsayer designs, develops, and deploys smart algorithms and all the connecting pieces to make them work. We also provide Data Science advisory, architecture, R&D, and training services to help our clients develop Centers of Excellence. We are true collaborators that work to ensure solutions are adopted and client teams are upskilled.

Websites :-

(Joint Venture)

(Main Holding Group)

(Oil & Gas Division)

We are looking for an entrepreneurial and commercially driven Business Development /Sales Manager to lead our AI-driven solutions business in the GCC. This role goes beyond traditional sales—it is a strategic leadership position.

The successful candidate will play a pivotal role in scaling a start-up venture within a regional conglomerate and a US Tech Company, ensuring strong revenue growth and market expansion. This is a heavily onsite, customer-facing role that also involves joint venture (JV) establishment and management.

Designation :- Business Development / Sales Manager

Key Responsibilities:

Strategic Leadership & Business Growth:

• Lead the go-to-market strategy for AI-driven solutions, driving sales, partnerships, and market penetration in the GCC region.
• Identify and capitalize on new business opportunities, ensuring sustainable revenue growth.
• Establish and implement a strategic roadmap with clear performance milestones.
• Foster an entrepreneurial culture, positioning the business as a leading AI solutions provider in the region.

Sales & Market Expansion:

• Own the entire end-to-end sales cycle, from lead generation to deal closure and post-sales engagement.
• Engage directly with clients to present AI solutions, consulting services, and digital transformation strategies.
• Utilize a strong industry network to accelerate business development.
• Drive strategic partnerships and high-value negotiations that align with the company’s long-term vision.
• Manage the day-to-day operations of the JV, ensuring alignment with shareholder expectations.
• Develop and execute a JV business strategy, collaborating with board members and executives from both organizations.
• Lead structured monthly board meetings to track progress, align on strategy, and drive execution.
• Engage shareholders from both investors to build strong relationships, establish trust, and enhance visibility.
• Oversee annual business planning, funding initiatives, and investment decisions.

Customer & Industry Engagement:

• Represent the company at trade shows, conferences, and industry events, expanding market reach.
• Establish and maintain long-term relationships with key stakeholders, decision-makers, and industry leaders.
• Collaborate with internal teams (Marketing, Product Development, and Technical) to tailor solutions to customer needs.

What we're looking for:

• Minimum of 8+ years of sales and business development experience in technology, AI, or digital solutions, preferably within the UAE.
• Proven track record in managing a full sales cycle, from prospecting to deal closure and post-sales support.
• Strong entrepreneurial mindset, capable of building and scaling a business.
• Experience in joint ventures, strategic partnerships, or investor relations is highly preferred.
• Strong network of industry contacts within the UAE and GCC markets.
• Excellent verbal and written communication skills in English, with the ability to convey complex AI solutions clearly.
• High-level negotiation skills with a history of securing major contracts.
• Familiarity with CRM systems, digital marketing strategies, and AI-driven prospecting tools.
• Ability to thrive in a fast-paced, dynamic, and high-growth environment.
• B2B Sales, Enterprise Sales, IT Sales, Technology Sales, Solutions Sales, Solution Selling.
• Data Science, Data Analytics, Predictive Analytics, Generative AI,

Educational Qualifications:

• Bachelor’s degree in Business, Marketing, Technology, or a related field (equivalent work experience will also be considered).

Please apply by attaching your CV only if you have relevant experience and qualifications.

Due to high volume of applications, only shortlisted candidates will be contacted.

• Seniority levelMid-Senior level

• Employment typeFull-time

• Job functionBusiness Development, Information Technology, and Sales
• IndustriesTechnology, Information and Media, Information Services, and IT Services and IT Consulting

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