39 Data Analytics jobs in Abu Dhabi

AML Data Analytics role at Dicetek LLC .

• Policies, Systems, Process & Procedures
  • Follow all relevant departmental policies, processes, standard operating procedures, and instructions so that the work is carried out in a controlled and consistent manner.
• Data Analysis and Continuous Improvement
  • Support the Compliance Technology, Data and Reporting Department in identifying continuous improvement and sustainability improvement opportunities for the related systems, processes and practices.
  • Support in implementation of the AML Group compliance systems Road map as agreed with the Compliance management and keep Head of AML Data Analytics & Head of Compliance Technology & Data Analytics.
  • Ensure comprehensive SIT/UAT is carried out including negative testing for every project with relevant resources and ensure successful completion.
  • Co-ordinate all relevant AML compliance system changes required in the existing platform as per business requirements as change requests with Group IT setting timelines, creating programme structures and installing/updating systems architecture where appropriate to support compliance capabilities for major changes.
  • To conduct complete data analysis on Group Customers and transactions to establish transaction behaviour/patterns, to generate proactive intelligence to assist in recalibration of the Customer segmentation for better monitoring.
  • To establish predictive Customer behaviour patterns for betterment of Transaction Monitoring and to pave ways for thematic review.
  • Map identified risks to internal data and systems, assess and analyse the banks' exposure, quantify the potential impact and escalate to the team lead where threats or control vulnerabilities are identified
  • Provide inputs into Compliance risk models and systems.
• Technology
  • Assist in producing procedures and processes aligned to Group Policy of Group CTDA function
  • Assist in conducting feasibility studies to assess need for new systems and provide technical inputs during technology vendor selection
  • Assist in exercises such as design and system architecture of compliance related systems by consulting with business users.
  • Build necessary data models pre-empting customer transactional behaviour performing Near Neighbour analysis.
  • Performing periodic scenario threshold reviews identifying the following:
    • a. Identifying redundant, non-performing scenarios
    • b. Identifying new patterns using data models identifying new scenarios for implementation
    • c. Co-relate SAR data with alerts/case closures to identify trigger points for identifying customer behaviour.
  • Periodically consult with compliance SMEs to get inputs on system, data and reporting requirements and drive projects from conceptualisation through implementation.
  • Perform the management of change orders for modifications and upgrades to compliance related systems and tools development.
  • Oversee and Manage system updates in response to risks identified or GIA ( Group Internal Audit) findings.
• Reporting
  • Collaborate with Compliance SMEs to develop Compliance related MI dashboards.
  • Develop periodic reporting plan and maintain the schedule and workflow for multiple reports.
  • Populate management information dashboards by extracting relevant data from source systems including using logical queries and basic programming.
  • Collaborate with Compliance colleagues to obtain information to populate dashboards.
  • Submit MI dashboards to team lead for review.

• Bachelor's degree in computer science/technology or finance systems

• At least 4 years of experience in risk analysis, data analytics or relevant statistic discipline
• At least 2 years of experience in an AML Financial Crime Compliance role

• Contract

• Information Technology

• IT Services and IT Consulting

We are seeking a highly skilled professional to fill the role of Biostatistics Assistant.

About the Role:

• Assist in data analysis and statistical modeling using R and Python programming languages.
• Work with large datasets to clean, organize, and prepare for statistical analysis.
• Develop expertise in experimental design, hypothesis testing, and result reporting.

Key Qualifications:

• 1+ years of experience in data analysis and interpretation.
• Strong knowledge of R and Python programming languages.
• Hands-on experience with ecological or biological datasets.
• Excellent problem-solving skills with attention to detail and accuracy.

Technical Proficiency:

• Proficient in R and Python for statistical modeling, machine learning, and data visualization.
• Familiarity with SQL and Power BI is an advantage.

Soft Skills:

• Strong organizational and time management skills.
• Ability to work independently and collaboratively.
• Excellent communication skills.

Working Arrangements:

• Monday to Friday, 9 hours per day (8 working hours, 1 hour lunch break).

A degree in Statistics, Data Science, Biostatistics, or a related field is required.

This executive leadership role is responsible for shaping and driving a vast data strategy, enabling data-driven decision-making, and fostering innovation through advanced analytics and AI. The position oversees data governance, infrastructure, and ecosystem development, ensuring secure, ethical, and impactful use of data across multiple organisations.

This is a prominent organisation undergoing a bold digital transformation, with a strong focus on data-driven innovation across its diverse portfolio of subsidiaries. The company offers a dynamic and forward-thinking environment where strategic leadership in data can drive real impact at scale.

• Define and lead a unified data strategy across a multi-entity organisation.
• Establish governance frameworks to ensure data quality, privacy, and compliance.
• Oversee scalable data platforms supporting advanced analytics and decision-making.
• Drive adoption of AI and machine learning to deliver actionable insights.
• Enable secure and ethical data sharing across internal and external stakeholders.
• Promote a data-driven culture through training and capability building.
• Lead and develop a high-performing team of data professionals.

• Minimum 15 years' experience in data strategy, governance, or analytics, with at least 5 years in executive leadership roles.
• Proven track record of leading large-scale data programmes across complex organisations.
• Strong expertise in data governance, privacy, AI ethics, and regulatory compliance.
• Advanced knowledge of data infrastructure, cloud platforms, and analytical tools.
• Exceptional stakeholder engagement and cross-functional collaboration skills.
• Master's degree in Data Science, Computer Science, Engineering, or a related field; Ph.D. preferred.

• A high-impact leadership role shaping data strategy across a major organisation with multiple subsidiaries.
• A collaborative and forward-thinking environment committed to ethical data use and excellence.
• Based in Abu Dhabi, offering a dynamic lifestyle and access to a thriving professional ecosystem.

analytics, data

This is a high-level role that requires the development and implementation of risk management strategies for our organization. The ideal candidate will have extensive knowledge of data management, analytics, and machine learning techniques.

• Manage and maintain data for risk models implementation and scorecards development.
• Develop and implement efficient and secure procedures for data management and analysis with attention to all technical aspects.
• Perform data analytics for modelling teams in development recalibration and validation of Risk and statistical models by carrying out data preparation segmentation analysis and testing tasks. Assist with data extraction when needed.
• Apply techniques such as generative AI classification regression clustering and other related methods.

The following are the minimum qualifications required for this position:

• Minimum 5 years of total experience in handling data management projects data science machine learning model development within banking and finance sector preferably in Credit Risk domain i.e. Basel II and IFRS 9 Risk models development and implementation risk analytics reporting
• Bachelors degree in computer science Engineering Information Systems or a related field.
• Masters degree is preferred.

This role offers the opportunity to work in a collaborative and dynamic environment with a team of experienced professionals. You will have the chance to develop your skills and expertise while contributing to the success of our organization.

Other responsibilities include ensuring data quality review and standard checks to assess the data completeness accuracy timeliness uniqueness and traceability, and providing analytics and quantitative support as and when necessitated.

Research Analyst – Data Scientist

The role of a Research Analyst – Data Scientist is to work closely with our research team to advance their projects by providing data analytics and research analysis support. This includes working with the team to design, develop, and implement data-driven solutions to address complex research questions.

As a Research Analyst – Data Scientist, you will have the opportunity to work on a wide range of projects, from data management and visualization to machine learning and AI. You will also have the chance to collaborate with researchers from various disciplines, including economics, engineering, and social sciences.

Key responsibilities of this role include:

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• Designing and developing data models and algorithms to solve complex research problems
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• Collecting, organizing, and analyzing large datasets to inform research decisions
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• Developing and implementing data visualization tools to communicate research findings
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• Collaborating with researchers to design and implement experimental designs and data collection methods
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• Providing technical support and training to researchers on data science tools and techniques
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In addition to these responsibilities, we are looking for someone who has strong programming skills in languages such as Python, R, and STATA. Knowledge of big data and data mining tools is also highly desirable. The ideal candidate will have experience working with research teams and a strong understanding of research methodologies.

We offer a competitive salary and benefits package, as well as opportunities for professional development and growth. If you are passionate about data science and research, and have a strong desire to make a meaningful contribution to our organization, we encourage you to apply.

Required Skills and Qualifications

To be successful in this role, you will need to possess the following skills and qualifications:

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• Master's or PhD degree in a relevant field (e.g. economics, engineering, social sciences)
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• Strong programming skills in languages such as Python, R, and STATA
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• Experience working with big data and data mining tools
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• Knowledge of data visualization tools and techniques
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• Ability to communicate complex research findings to non-technical audiences
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• Strong analytical and problem-solving skills
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Benefits

We offer a competitive salary and benefits package, including health insurance, retirement savings plan, and paid time off.

Others

UAE nationals are encouraged to apply. We are an equal opportunity employer and welcome applications from diverse candidates. Please submit your application, including your CV, cover letter, and contact information for at least two professional references.

The Post-doc will be supervised by Professor Samreen Malik and will be part of a research team that works on issues related to development of human capital as well as climate and sustainable development. Some of the topics of interest include how better air quality improves student's health and non-cognitive functions; sleep patterns of children and its relation to their academic achievement; whether households in low income countries adopt water saving technology to overcome water scarcity; whether cleaning air in workplaces impacts worker's productivity. Many of the projects will involve public and private partnership in the UAE and in other countries and the post-doc will be useful for the UAE based partnership, holding meetings, convincing potential partners to collaborate, and present work to the partners and academics. As part of the team, the post-doc will work full-time as co-author on Dr. Malik's projects. The post-doc will also provide Malik?s team of researchers and faculty with Data Analytics, Data visualization, Data Management, coding & development and support of research design. As part of Malik?s team, there will be hands on experience to learn research methods, experimental designs, tools specifically applied to research in social science but more importantly the post-doc will be involved from the initial stages of project allowing an independent experience of carrying out research from start till end.

Principal Accountabilities

• Working with Dr. Malik and her team to advance their research work by providing Data analytics and research analysis support
• Assist researchers with Data management including big data, data mining and database support and development
• Support and advise researchers on Data visualization
• Foster Relationships with the UAE public and private entities
• Support researchers with coding and algorithm development
• Conduct training, engagement with students for senior thesis (graduate and undergraduate level)

The candidate will also work on individualized research projects under the supervision of the faculty during the duration of his/her tenure.

Required Education

PhD in Economics, Engineering, Computational Science, Statistics, Computational Social Science or equivalent

Required Work and Related Experience

• Experience in understanding researcher requirements and translating those requirements into functional and dependable solutions,
• Experience working with data science programming languages like STATA, Python, R
• Experience data management and big data
• Experience in data visualization
• Experience in Machine Learning, and AI
• Some Professional experience working on projects in research environments

Preferred Work and Related Experience

• Experience in project management of application development projects.
• Experience in a higher education research institution, especially developing and/or supporting research.

Required Competencies

1. Strong programming skills in relevant programming languages e.g. STATA, Python, R.
2. Knowledge of scientific analysis, statistical methods and computer related research design and statistical analysis.
3. Knowledge of visualizing research data and familiarity with data visualization tools.
4. Knowledge of data managing including data collection, organization and cleansing
5. Knowledge of standard statistical packages such as R, STATA etc.
6. Knowledge of with Big data and data mining tools
7. Ability to clearly communicate technical concepts to non-technical audience.
8. Ability to keep up to date with technological advances.
9. Ability to work in a team-based environment and contribute positively to it.
10. Ability to work on own initiative and as part of a team.
11. Ability to work with individuals at all levels and diplomatically manages their expectations.
12. Creative problem-solving abilities and initiatives.
13. Strong organizational skills.
14. Strong presentation and report writing skills.
15. Excellent communication, interpersonal and analytical skills are essential.
16. Ability to manage conflicting priorities in an effective and professional manner.

Preferred Competencies

1. Knowledge of one or more software source code control systems.
2. Ability to work on own initiative and as part of a team.

• CV
• Statement of interest in the position
• Transcript of degree(s)
• Two letters of recommendation

UAE nationals are encouraged to apply

This position is under the NYUAD Kawader program, for details regarding the program, open dates, specific program requirements, and FAQ's please refer to our NYUAD Kawader webpage:

For further information or questions regarding the position/program please contact (due to the high volume of emails received, please allow 5 working days for a response)

For people in the EU, click here for information on your privacy rights under GDPR:

NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.

Sustainability Statement

NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more

This position involves working as a software engineer on the team, collaborating on end-to-end data analytics and machine learning operations solutions using popular open-source tools. You will work with Kubernetes and machine-oriented applications, and collaborate proactively with a distributed team of engineers, designers, and product managers.

Job Title : Software Engineer - Data Analytics and Machine Learning

About the Role:

We are seeking a highly skilled Software Engineer to join our team and collaborate on an end-to-end data analytics and machine learning solution.

Key Responsibilities:

• Develop a deep understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer.
• Design, build, and maintain solutions that will be deployed on public and private clouds and local workstations.
• Master distributed systems concepts such as observability, identity, tracing.
• Work with both Kubernetes and machine-oriented open source applications.
• Collaborate proactively with a distributed team of engineers, designers, and product managers.
• Debug issues and interact in public with upstream and Ubuntu communities.

Requirements:

• Professional or academic software delivery using Python or Golang.
• Exceptional academic track record from both high school and university.
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path.
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation.
• Track record of going above-and-beyond expectations to achieve outstanding results.
• Passion for technology evidenced by personal projects and initiatives.
• The work ethic and confidence to shine alongside motivated colleagues.
• Professional written and spoken English with excellent presentation skills.
• Experience with Linux (Debian or Ubuntu preferred).
• Excellent interpersonal skills, curiosity, flexibility, and accountability.
• Appreciative of diversity, polite, and effective in a multi-cultural, multi-national organisation.
• Thoughtfulness and self-motivation.
• Result-oriented, with a personal drive to meet commitments.

Additional Skills That Would Be Nice To Have:

• Hands-on experience with machine learning libraries, or tools.
• Proven track record of building highly automated machine learning solutions for the cloud.
• Experience with container technologies (Docker, LXD, Kubernetes, etc.).
• Experience with public clouds (AWS, Azure, Google Cloud).
• Working knowledge of cloud computing.
• Passionate about software quality and testing.
• Experience working on an open-source project.

About Us:

We are a pioneering tech firm at the forefront of the global move to open source. We publish Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud. We change the world of software.

Our workplace is free from discrimination, and we promote diversity. Whatever your identity, we will give your application fair consideration.

This is a dynamic and challenging role that requires an individual with exceptional analytical skills and the ability to communicate complex ideas in a clear and concise manner.

As a Business Intelligence Expert, you will be responsible for developing sophisticated analytical solutions that integrate diverse information assets to achieve incremental revenue or reduction in costs or mitigating financial risks.

1. Key Responsibilities:
2. Strategic Responsibilities:
• Develop & conceptualize innovative analytical solutions that leverage diverse information assets to drive business value.
• Lead the discovery process for analytics opportunities with stakeholders to identify business requirements and expected outcomes.
• Make strategic recommendations on data collection, integration, and retention requirements incorporating business needs and knowledge of best practices.
• Define standard metrics and KPIs for measuring the success of analytics engagements undertaken and establish processes to measure them.
• Educate colleagues on new approaches such as testing hypotheses and statistical validation of analytical results.
3. Core Responsibilities:
• Apply advanced statistical and predictive modelling techniques to build, maintain, and improve multiple decision systems.
• Design experiments and test business hypotheses.
• Identify available and relevant data sources including internal and external data leveraging new data collection processes such as geolocation data, unstructured data sources like emails, log files, social media, etc.
• Develop innovative approaches to solve business problems using Analytics and communicate results and methodologies.
• Utilize patterns and variations in data volume, speed, and other characteristics to support initiatives, type of data (e.g. Images, text, clickstream or metering data) in predictive analysis.
• Provide ongoing tracking and monitoring of performance of decision systems and statistical models built by the data science unit.
• Recommend & implement ongoing improvements to methods and algorithms leading to findings including new information & patterns in the data.
• Establish conducive ecosystem for analytics using tools, processes, vendors, etc. within the organization enabling adoption of analytics across departments.
• Play the role of bank wide machine learning and Artificial Intelligence expert to use these techniques to solve real business problems.
4. People Management Responsibilities:
• Coach & groom data scientists on gaining knowledge & skills on principles of analytics techniques, problem solving, project management, client relationship management & team work skills.
• Responsible to hire, train, motivate, and continuously develop skillsets of the data scientists in the team.
• Define goals and key performance indicators for each member of data science team and coordinate performance management review process for the team.