Job at a Glance
- 📍 Location: Dubai, Dubai, United Arab Emirates
- 🏢 Company: SAP
- 💼 Employment Type: Full-time
- 📊 Seniority: Not Applicable
- 🗂️ Function: Engineering and Information Technology
- 🏭 Industry: Software Development, IT Services and IT Consulting, and Business Consulting and Services
- 📅 Date Posted: 2026-08-07
- 🌐 Category: Artificial Intelligence
About the Role & Company
SAP is bringing a Forward Deployed Senior Data Scientist on board in Dubai, Dubai, United Arab Emirates. The role sits inside a Artificial Intelligence team that’s actively expanding its footprint in the region. Whether you’re mid-career or a step above, this kind of role tends to pay back in exposure and lateral growth. The scope reads like a standard Forward Deployed Senior Data Scientist brief on paper; in a growing team it usually stretches wider than the JD. The UAE market for artificial intelligence talent hasn’t cooled — compensation is competitive and net pay stays high thanks to the tax setup. Bottom line — the mix of growth stage, market position and role scope makes this worth a serious look for the right applicant.
Key Requirements
- on hands-on experience in Data Science, Machine Learning, and Applied AI with strong proficiency in Python and SQL
- Experience with machine learning frameworks such as Scikit
- Solid grasp of statistics, probability, hypothesis testing, experimental design, model evaluation, and feature engineering
- Experience developing predictive models, recommendation systems, forecasting models, anomaly detection, and classification algorithms
- on experience with Large Language Models (LLMs), Prompt Engineering, Retrieval
- Experience deploying machine learning and AI solutions using cloud
- Familiarity with SAP data landscapes including SAP S/4HANA, SAP HANA Cloud, SAP BW/4HANA, SAP Business Technology Platform (BTP), AI Core, AI Launchpad, and SAP AI services is an advantage
- Ability to translate ambiguous business what’s needed into practical analytical solutions while balancing model accuracy, interpretability, scalability, and business value
Job Description
At SAP, we keep it simple: you bring your best to us, and we’ll bring out the best in you. We’re builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what’s next. The work is challenging – but it matters. You’ll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What’s in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
In this role, you’ll design, build, and apply advanced data science, statistical, and machine learning methods to solve complex business problems. Embedded within customer engagements and high-tempo delivery teams, you’ll translate business challenges into scalable analytical and AI solutions that deliver measurable outcomes. Working closely with customers, engineers, and product teams, you’ll build production-ready machine learning and Generative AI solutions while continuously improving model quality, performance, and business impact.
Transform business challenges into data-driven solutions by identifying analytical opportunities, exploring data, engineering features, and developing predictive models.
Design, build, train, evaluate, and optimize machine learning models and statistical solutions for enterprise business scenarios.
Apply techniques across exploratory data analysis, forecasting, classification, clustering, recommendation systems, anomaly detection, experimentation, causal analysis, and predictive analytics.
Build Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, vector databases, and Agentic AI frameworks.
ATS Resume Tips for This Role
To get past Applicant Tracking Systems (ATS) for this Forward Deployed Senior Data Scientist opening, tailor your resume with the pointers below:
- Include these keywords verbatim in your Skills and Experience sections: Python, TensorFlow, PyTorch, Machine Learning, LLM, MLOps, Statistics, SQL, Deep Learning, NLP. ATS parsers match exact strings, not synonyms.
- Use a single-column layout. Two-column resumes break parsers — text gets scrambled or dropped.
- Save as .docx or standard .pdf (not scanned/image PDF). Avoid text boxes, headers, footers, graphics.
- Use standard section headings: Experience, Education, Skills, Certifications.
- Mirror the exact job title (Forward Deployed Senior Data Scientist) in your target role line where truthful.
- Quantify results with numbers, percentages, currency. Metrics improve ATS scoring and human review.
- Spell acronyms out once (e.g., Search Engine Optimization (SEO)) so parser catches both forms.
- Font: Arial, Calibri, or Times New Roman at 10-12pt. Fancy fonts can render as unreadable glyphs.
Top 10 Interview Questions for This Role
- Walk me through your background and why you’re interested in this role.
- Describe a challenging project you owned end-to-end. What was the outcome?
- Tell me about a time you disagreed with a stakeholder. How did you handle it?
- How do you prioritize when everything on your plate feels urgent?
- How do you decide between fine-tuning a model vs. prompt engineering?
- Explain overfitting to a non-technical stakeholder.
- Walk through your data validation pipeline for training data.
- How do you evaluate model performance beyond accuracy?
- Describe your MLOps setup — from experimentation to production.
- How do you handle model drift once a system is in production?
How to Apply
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