267 Predictive Modeling jobs in the United Arab Emirates

This position involves the development of end-to-end data analytics and machine learning operations solutions using popular open-source tools such as Kubeflow, MLFlow, DVC, and Feast.

As a software engineer, you will design, build, and maintain deployed solutions on public and private clouds and local workstations.

• Create a deep understanding of the Linux stack from kernel to application layer.
• Design and implement distributed systems concepts including observability, identity, and tracing.
• Collaborate with a team of engineers, designers, and product managers.
• Debug issues and interact with upstream communities.

• Proficiency in Python for software delivery.
• An exceptional academic track record and undergraduate degree in a technical subject or alternative chosen path.
• Excellent written and spoken English with presentation skills.
• Experience with Linux (Debian or Ubuntu preferred) and interpersonal skills.

The ideal candidate will have a passion for technology demonstrated through personal projects and initiatives. They must also be able to travel twice a year for company events.

Quantitative Developer

We are seeking a highly skilled Quantitative Developer to join our team.

This role requires someone who is extremely hard-working and dedicated to delivering high-quality solutions in every aspect of their work.

You will be working on building robust trading systems, designing and implementing trade automation systems to enhance trading efficiency and effectiveness, and collaborating with traders, researchers, and other developers to understand requirements and deliver solutions.

We are seeking a seasoned data science professional to lead strategic engagements with key clients and lines of business. In this role, you will be accountable for developing and executing pipeline opportunities, managing junior staff on project teams, and collaborating with technical stakeholders.

• Develop and execute strategic data science plans in collaboration with cross-functional teams.
• Manage and coach junior data scientists to deliver high-quality projects on time and within budget.
• Collaborate with technical stakeholders to identify and capitalize on new business opportunities.

• Practical experience in delivering advanced analytics projects and assets.
• Strong leadership and coaching skills, with the ability to motivate and guide junior team members.
• Excellent communication and stakeholder management skills, with the ability to effectively collaborate with cross-functional teams.

This is an excellent opportunity to join a dynamic team and contribute to the growth and success of our organization. If you have a passion for data science and are looking for a challenging and rewarding role, we encourage you to apply.

In addition to a competitive salary and benefits package, we offer a dynamic work environment, opportunities for professional growth and development, and a collaborative team culture.

Job Title:

Data Science Leadership Role

Job Description:

This position involves working closely with clients to identify and prioritize business needs, developing strategic data science engagements, and leading the delivery of core data science assets.

Key Responsibilities:

• Document each phase of development and communicate effectively with clients throughout the process.
• Develop and execute data science strategies that drive business value and meet client objectives.
• Lead and manage junior staff on project teams, providing guidance and support as needed.

Requirements:

• Proven experience in delivering advanced analytics projects and assets.
• Strong technical skills and ability to manage complex data science projects.
• Excellent communication and interpersonal skills, with the ability to work effectively with clients and internal stakeholders.

Benefits:

As a leader in our data science team, you will have opportunities for professional growth and development, as well as a competitive salary and benefits package.

Job Title

We are seeking a seasoned Data Science Professional to lead our analytics initiatives. This role requires 8-10 years of experience in data science, with a focus on managing loyalty programs.

The ideal candidate will:

• Develop innovative analytics use cases and projects for clients.
• Contribute to the growth and development of our analytics practice.
• Provide expertise on flagship loyalty management projects with select customers.

Key Responsibilities:

• Client Engagement: Collaborate with clients to understand their business needs and propose suitable analytics solutions.
• Solution Development: Build solutions to meet client requirements.

• Growth of Analytics Practice: Contribute to the strategic growth and development of the analytics practice.
• Industry Trends: Stay updated with industry trends and advancements in data science and analytics.

• Loyalty Management Projects: Provide leadership and expertise on flagship loyalty management projects with select customers.
• Loyalty Program Design: Ensure the successful design, execution, and management of loyalty programs.

• Expertise: Proficiency in data analytics tools and platforms (Dataiku, SAS, Python, R, SQL, Tableau, Power BI).
• Data Modeling: Strong understanding of data modeling, statistical analysis, and machine learning techniques.

• Skills and Qualifications: Bachelor's degree in computer science, statistics, mathematics, computer engineering, data science, or AI. Postgraduate degree in computer science is an added advantage.

Enterprise Data Science Lead – Applied AI (Corporate Finance)

Location: Abu Dhabi, UAE | Full-time

Are you passionate about transforming finance through AI? A leading Financial Institution is looking for an experienced Enterprise Data Science Lead to drive applied AI initiatives within its Corporate Finance division.

This is a high-impact role for someone who thrives at the intersection of cutting-edge technology and strategic business outcomes.

What You'll Do

• Build and deploy AI/ML models to optimize financial decision-making and operations.
• Develop domain-specific LLMs and RAG pipelines for intelligent automation.
• Collaborate with Finance, Risk, and Tech teams to identify and deliver AI opportunities.
• Automate workflows using agent-based AI tools.
• Evaluate and integrate third-party AI solutions.
• Champion responsible AI practices (bias detection, explainability, compliance).

What You Bring

• Master's or PhD in a technical field (CS, Math, Engineering).
• 10–12 years in applied data science or AI/ML delivery.
• Hands-on experience with LLM frameworks (LangChain, HuggingFace, Azure OpenAI).
• Strong MLOps background (CI/CD, monitoring, testing).
• Excellent communication and stakeholder engagement skills.

Tech Stack & Tools

Python | PyTorch | TensorFlow | LangChain | FAISS | Pinecone

Azure ML | Snowflake | Airflow | MLflow | SHAP | LIME

This role reports to the Chief Data Analytics Officer .

Why Join?

• Lead transformative AI initiatives in a dynamic finance environment.
• Collaborate with top-tier professionals across disciplines.
• Competitive compensation and benefits.
• Shape the future of AI in corporate finance.

Interested or know someone who fits the bill?

Let's connect Drop your CV or tag someone in the comments.

AIJobs #DataScience #LLM #FinanceCareers #MLOps #Hiring #AbuDhabiJobs #TechLeadership #AppliedAI #CorporateFinance

Data Science Lead

The Data Science Lead will be responsible for developing and implementing the organization's institutional data strategies, ensuring alignment with FAIR principles and enabling AI-readiness across disciplines and functions.

Key Responsibilities:

• Lead the development and implementation of the organization's institutional data strategies, spanning research, operations, governance, and knowledge systems.
• Oversee the design and governance of the organization'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 the organization's data lifecycle.

Engagement:

• Work closely with the Digital Transformation Accelerator leadership to ensure alignment of data-related investments, strategies, and governance models across the organization's science and enabling functions.
• Advise and support research programs and accelerators to co-develop and scale data-intensive solutions and decision-support tools, aligned with the organization's 2030 Research and Innovation Strategy.
• Collaborate with partners to contribute to public-good data infrastructure, standards development, and frontier data innovation.

Delivery:

• Establish and lead a CGIAR-wide Data Science Function and Community of Practice, fostering best practices, capability building, and standardization in data science, analytics, and infrastructure management.
• Ensure the timely implementation of the organization's institutional data strategy including the development of workplans and budgets

Required Skills and Qualifications:

Education and Experience:

• Advanced degree (Master's or PhD) in Data Science, Information Systems, Statistics, Computer Science, or a related discipline with a focus on data architecture, governance, or applied analytics.
• Minimum 10 years of experience leading institutional or programmatic data strategies and platforms, ideally in research, public-good, or international development organizations.
• Proven track record in building and managing complex data ecosystems and driving data-enabled innovation across disciplines and functions.

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 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.

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 contact us.

Unlock your full potential as a Data Science leader and drive innovation in the digital transformation of our clients.

We are seeking an exceptional professional with expertise in AI/ML to join our team. As a Senior Manager, you will be responsible for providing technical leadership and strategic direction in Data Science/AI/ML.

Key Responsibilities:

• Provide expert guidance on ML algorithms and data pre-processing techniques.
• Collaborate with cross-functional teams to define project scope and apply ML algorithms.
• Lead the identification of new AI/ML opportunities by leveraging your technical expertise.
• Shape data solutions and properly scope engagements.
• Foster strong relationships with clients through effective project delivery.
• Engage client executives up to C-level to maximize growth.
• Provide mentorship and guidance to junior team members.
• Stay updated with the latest advancements in AI/ML.
• Support pre-sales activities by assessing Data opportunities.

Requirements:

• Bachelor's or Master's or PhD in Computer Science or a related field.
• Fluent English speaker with Arabic being a strong advantage.
• Experience and knowledge of the Oil & Gas/Energy sector.
• Strong experience in a senior or leadership role within Data Science/Data Analytics Technology Consulting.
• Proven track record in designing and implementing AI/ML solutions.
• Technical proficiency in programming languages such as Python, R, or Java.
• Solid understanding of ML algorithms and data pre-processing techniques.
• Demonstrated experience in engaging and influencing senior stakeholders.
• Strong communication skills and ability to explain complex concepts.
• Ideally experience in pre-sales or supporting sales teams.

We are seeking a highly skilled and experienced professional to lead our institutional data strategy, ensuring that data is accessible, interoperable, and reusable.

The successful candidate will be instrumental in designing and delivering our data-driven innovation strategy, bridging innovation and inclusion to support science decision-making and operational excellence.

Main Responsibilities:

• Develop and implement an institutional data strategy, spanning research operations governance, and knowledge systems.
• Oversee the design and governance of our 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 our data lifecycle.
• Mobilize partnerships and funding to support our data transformation agenda, working with governments, philanthropic actors, multilaterals, and technology providers.

Requirements include an advanced degree in data science, information systems, statistics, computer science, or a related discipline, with a focus on data architecture governance, or applied analytics, as well as minimum 10 years of experience leading institutional or programmatic data strategies and platforms, ideally in research public-good or international development organizations.

We offer competitive compensation, favorable taxation arrangements, and comprehensive employee benefits, including 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.

To apply, please submit your application, including your CV, cover letter, and portfolio of work, demonstrating your experience and skills in data science and leadership.

We are an equal opportunity employer, committed to diversity, equity, and inclusion. We welcome applications from qualified candidates worldwide.