Forward Deployed Data Scientist Expert Jobs in Dubai – SAP

Forward Deployed Data Scientist Expert jobs in Dubai are open at SAP, which is recruiting for a Forward Deployed Data Scientist Expert in its Software – Design and Development team. The role is an expert-level data science and machine learning position, working embedded directly with customers to turn complex business problems into analytical and machine learning solutions. No closing date is stated on the official posting, which was posted on 31 October 2026 under requisition ID 457244, so interested candidates should apply promptly.

The Forward Deployed Data Scientist Expert designs, develops and applies advanced data science, statistical and machine learning methods to solve business-critical problems. The role is customer-facing and hands-on: the expert works inside customer environments and fast-moving delivery teams, translating strategic and operational challenges into rigorous analytical solutions at speed, and is accountable for the quality, impact and delivery of complex analytical initiatives.

About SAP

SAP is a global enterprise software company and a market leader in end-to-end business application software. Originally known for leadership in enterprise resource planning, SAP has grown into a cloud company whose innovations help more than 400,000 customers worldwide work together more efficiently and use business insight more effectively. SAP’s software touches more than 20 industries and 80 percent of global commerce, and as a cloud company it has more than 200 million users and more than 100,000 employees worldwide.

The role sits in a growing AI and industry expert team that serves customers across the Americas, Europe and Asia. The team brings together deep AI expertise, strong industry knowledge and regional understanding to help customers innovate and lead in their markets, working closely with decision-makers and challenging assumptions with data.

Forward Deployed Data Scientist Expert: role overview

In this role, the expert translates strategic and operational challenges into rigorous analytical solutions, working closely with customers to deliver scalable, enterprise-grade outcomes that drive measurable business value. As a subject-matter expert, the role holder manages ambiguity and makes sure data-driven solutions are robust, reliable and aligned with business objectives.

The work covers the full journey from problem to production. The expert identifies high-value problems, frames them analytically, engineers robust features and insights, designs and trains mathematical models and machine learning solutions, and integrates them into products, prototypes or business processes. Success is measured, business impact is quantified, and results are turned into clear, actionable recommendations for decision-makers.

Key responsibilities

The main duties of the role, as stated on the official SAP posting, are:

• Transform complex business challenges into data-driven intelligence by identifying high-value problems, framing them analytically, and engineering robust features and insights.
• Design, develop, train and implement mathematical models, algorithms and machine learning solutions to solve complex business problems.
• Apply advanced techniques across exploratory analysis, statistical modelling, experimentation, forecasting, segmentation, anomaly detection, causal analysis and machine learning.
• Integrate analytical and machine learning solutions into products, prototypes or business processes, ensuring enterprise-grade scalability and robustness.
• Define success metrics, quantify business impact, and translate analytical results into clear, actionable recommendations for decision-makers.
• Lead or manage complex analytical workstreams or projects, including deliverables, milestones, risks and escalations, as appropriate.
• Communicate insights, trade-offs and recommendations effectively to cross-functional teams and customer stakeholders, influencing decisions through evidence and expertise.
• Work in an embedded, customer-facing setup, collaborating closely with customer teams to deeply understand their data, applications and business context, and co-developing impactful data and AI-driven solutions.

Requirements and qualifications

To be considered for this role, candidates must meet the following requirements, as stated on the official posting:

• Expert-level proficiency in data science and machine learning, with a strong command of Python and SQL, and the ability to design, validate and optimise end-to-end analytical and machine learning solutions.
• Hands-on expertise with Python and machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn and XGBoost.
• Deep applied knowledge of statistics and experimentation, including hypothesis testing, experimental design, causal inference and uncertainty interpretation.
• Proven experience applying a wide range of machine learning techniques — classification, forecasting, clustering, recommendation systems and anomaly detection — balancing accuracy, robustness, interpretability and usability at scale.
• A strong capability to translate ambiguous business questions into measurable analytical problems and connect model outputs to commercial, operational or strategic decisions.
• Experience delivering production-ready analytics and machine learning systems on modern data platforms, with a strong focus on data quality, governance and reusability.
• Exposure to SAP data landscapes including SAP S/4HANA, SAP BW/4HANA and SAP HANA Cloud, and familiarity with SAP Business Technology Platform (BTP), AI Core, AI Launchpad and SAP AI services.
• The ability to operate effectively in an Agentic AI context, contributing to the design, application and responsible use of AI agents within complex business processes.
• Advanced communication and collaboration skills, with the ability to influence senior stakeholders through clear data narratives and executive-ready insights.
• A proactive approach to using AI in everyday workflows, ensuring high-quality outputs through thoughtful context design and system integration.

The posting notes that expected travel for the role is 0 to 10 percent, and that the position is a regular full-time role with a hybrid working arrangement. Candidates should show that they can work embedded with customers, manage complex analytical projects, and turn analysis into decisions that senior stakeholders can act on.

What SAP offers

No salary, visa, perk or specific benefit is stated on the official job page, so none is given here. The posting describes constant learning, skill growth and a team that wants its people to grow and succeed, and SAP’s culture of inclusion, focus on health and well-being and flexible working models. Candidates who are shortlisted will receive full details of the employment package from SAP during the recruitment process.

How to apply for the Forward Deployed Data Scientist Expert job in Dubai

Applications are made through the official SAP careers portal. Candidates should prepare a CV that shows their expert-level data science and machine learning experience, their command of Python and SQL, their work with frameworks such as TensorFlow, PyTorch, Scikit-learn and XGBoost, and examples of production machine learning systems they have delivered for customers. No closing date is stated on the official posting, which was posted on 31 October 2026, so applications should be made as soon as possible.

Apply here on the official SAP careers page: Forward Deployed Data Scientist Expert – SAP, Dubai (requisition ID 457244).

SAP never charges candidates for recruitment. Job seekers should only apply through the official careers portal and should be wary of anyone asking for payment in connection with an SAP job.

Frequently asked questions

Where is this job based?
Dubai, United Arab Emirates, with a hybrid working arrangement. The role is embedded with customers and the team serves customers across the Americas, Europe and Asia, with expected travel of 0 to 10 percent.

What is the closing date?
No closing date is stated on the official SAP careers posting, which was posted on 31 October 2026 under requisition ID 457244. Candidates should apply promptly, as the role may close once a suitable candidate is found.

What skills do I need?
Expert-level data science and machine learning, strong Python and SQL, hands-on work with TensorFlow, PyTorch, Scikit-learn and XGBoost, deep statistics and experimentation, and experience delivering production-ready analytics and machine learning systems.

Do I need SAP experience?
Exposure to SAP data landscapes such as SAP S/4HANA, SAP BW/4HANA and SAP HANA Cloud, and familiarity with SAP Business Technology Platform, AI Core, AI Launchpad and SAP AI services, are listed on the official posting.

Is a salary stated?
No. The official posting does not state a salary, visa or benefits package, so none is given here.