48 Data Scientists jobs in Riyadh

• Design LLM training/inference pipelines on 1000+ GPU clusters.
• Optimize Spark/Flink for PB-scale financial data processing.
• Lead cross-border AI projects with ex-Google/NVIDIA teams .
• Hands-on experience with GPU clusters & high-performance computing .
• Fluent in Python/C++ and obsessed with scalability .
• Work with top 1% AI talent (50% PhDs from Tier-1 schools).
• Build zero-to-one products in banking/healthcare AI.
• Flexible R&D budget + publish at NeurIPS/ICML .

• 5+ years in AI systems (LLM/Transformer) + Big Data (Spark/MPP DBs).
• Fluent in Python/C++ and obsessed with scalability .
• Work with top 1% AI talent (50% PhDs from Tier-1 schools).

Location: Riyadh, Riyadh, Saudi Arabia

Salary: SAR 20,000.00 - SAR 30,000.00 per month

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Direct message the job poster from HCLTech

About the Company

We are a $13+ billion global technology company, home to more than 224,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud, and AI, powered by a broad portfolio of technology services and products.

HCLTech is a globally recognized leader in the Tech and IT industry, but we’ve never forgotten the startup mindset that got us here. We’ve always approached our work with an idea-first attitude because every one of our accomplishments —no matter how big or small —can be traced back to an idea’s single spark.

It’s that spark —that inner drive —that sets our people apart from our competitors. It enables us not just to pull off game-changing feat after game-changing feat but to better our world in the process. We want you to find your spark. Because that’s what drives you to be better, be more and ultimately, be more fulfilled.

About the Role

Own L2-level operations for Big Data (HP Ezmeral) within a highly regulated banking estate, ensuring availability, performance, security, audit readiness, and rapid recovery as per RTO/RPO.

Responsibilities

• Provide L2-level support for Big Data (HP Ezmeral) in a mission-critical banking environment.
• Ensure compliance with PCI DSS, SWIFT, and local banking regulator requirements.
• Operate under ITIL processes (Incident/Change/Problem/Knowledge).
• Maintain high availability, performance, and security; participate in DR/BCP drills.
• Own complex incident troubleshooting and approved changes for the platform.
• Conduct root cause analysis for recurring incidents; implement permanent fixes.
• Tune configurations and schedule jobs to improve performance and reliability.
• Coordinate vendor TAC cases and firmware/patch planning; validate after-change health.

Qualifications

• 3–5 years in administration and change/incident ownership for the platform in banking.

Required Skills

• HPE Ezmeral Data Fabric (MapR) admin, Fabric Control System
• Kubernetes platform operations, YARN/Spark
• Logging/monitoring stacks (e.g., ELK, Prometheus)

Preferred Skills

• HPE Ezmeral certifications (or equivalent Hadoop ecosystem certs)
• A supportive, diverse, and global team with a brilliant culture.
• Competitive compensation and benefits that includes up to 20 days’ vacation per year, various insurances like Term life and Business Travel insurance. These are apart from the statutory benefits applicable in the country. Employee benefits are regulated by an internal policy that contains full details regarding the entitlement and conditions for the benefits as per the law of the land.
• Great opportunities to make the role your own, upskill yourself and get involved with exciting projects.
• Total Wellbeing is our focus. Alongside your professional excellence, you join the likeminded colleagues to create a larger impact within the company and society at large in your chosen area of passion - CSR Council, Diversity Council, Women Connect, Sparks – Engagement Champion to name a few.
• To know more about us visit –

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Banking and IT Services and IT Consulting

Referrals increase your chances of interviewing at HCLTech by 2x

Riyadh, Riyadh, Saudi Arabia SAR20,000.00-SAR30,000.00 1 month ago

Riyadh, Riyadh, Saudi Arabia SAR18,000.00-SAR22,000.00 1 month ago

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Job Description

Collect, clean, and transform structured and unstructured datasets from multiple sources (databases, APIs, data warehouses, and flat files) for analysis.

Develop, maintain, and optimize SQL queries, stored procedures, and ETL pipelines to ensure reliable data flows.

Perform statistical analysis, hypothesis testing, and predictive modeling to extract actionable insights and support decision-making.

Create advanced dashboards and reports using tools such as Power BI, Tableau, or Looker, ensuring KPIs are tracked and visualized effectively.

Collaborate with data engineers and business stakeholders to define data requirements and ensure alignment between technical outputs and business needs.

Apply data mining, clustering, and regression techniques to detect patterns, trends, and anomalies across large datasets.

Document methodologies, maintain reproducibility of analysis, and adhere to best practices for version control and code management (e.g., Git).

A degree in computer science, data science or any other relevant field. A master's is a plus

4 years of experience in relevant fields

Data Engineering & Querying: Strong proficiency in SQL

Visualization & Reporting: Advanced skills in BI tools (Power BI, Tableau, Looker, or equivalent) and ability to design performance-optimized dashboards.

Data Wrangling: Ability to handle raw, messy data—cleaning, normalizing, feature engineering, and managing large datasets with performance considerations.

Cloud & Analytics Tools: Familiarity with cloud platforms (GCP BigQuery, AWS Redshift, Azure Synapse) and distributed data systems (Spark, Hadoop) is a plus as well as hands-on experience on Dataiku is a plus.

Direct message the job poster from Saudi Patient Safety Center - المركز السعودي لسلامة المرضى

Job Purpose - الغرض من الوظيفة

The Data Analyst will play a key role in improving the quality of patient safety data at the Saudi Patient Safety Center (SPSC). By applying advanced statistical and analytical methods, the analyst will generate evidence-based reports, develop national patient safety KPIs, and support decision-making at both national and international levels - سيساهم محلل البيانات بدور محوري في تحسين جودة بيانات سلامة المرضى في المركز السعودي لسلامة المرضى ومن خلال تطبيق الأساليب الإحصائية والتحليلية المتقدمة، سيقوم المحلل بإعداد تقارير قائمة على الأدلة، وتطوير مؤشرات أداء وطنية لسلامة المرضى، ودعم عملية اتخاذ القرار على المستويين الوطني والدولي. ويسهم هذا الدور بشكل مباشر في تعزيز مكانة المركز كجهة وطنية رائدة ذات شراكات دولية ومعترف بها من قبل منظمة الصحة العالمية (WHO).

Responsibilities - المسؤوليات

• Collect, clean, analyze, and present findings of healthcare data using advanced statistical tools and methods - جمع البيانات الصحية وتنظيفها وتحليلها وعرض نتائجها باستخدام أدوات وأساليب إحصائية متقدمة.
• Prepare reports highlighting trends, risks, and recommendations for performance improvement - إعداد تقارير تسلط الضوء على الاتجاهات والمخاطر والتوصيات اللازمة لتحسين الأداء.
• Collaborate with clinical teams to interpret findings and implement evidence-based improvements - التعاون مع الفرق السريرية لتفسير النتائج وتطبيق التحسينات المبنية على الأدلة.
• Support research studies and national/international projects related to patient safety - دعم الدراسات البحثية والمشاريع الوطنية والدولية ذات الصلة بسلامة المرضى.
• Develop, monitor, and evaluate patient safety Key Performance Indicators (KPIs) - تطوير ومتابعة وتقييم مؤشرات الأداء الرئيسة (KPIs) الخاصة بسلامة المرضى.
• Ensure accuracy, integrity, and quality assurance of data before reporting - ضمان دقة ونزاهة البيانات وجودتها قبل نشرها أو الإبلاغ عنها.
• Contribute to strengthening SPSC’s international reporting and benchmarking in line with WHO standards - الإسهام في تعزيز التقارير الدولية والمقارنات المرجعية للمركز بما يتماشى مع معايير منظمة الصحة العالمية.
• Create dashboards and visualization tools (Power BI/Tableau) to facilitate decision-making in patient safety - إنشاء لوحات متابعة وأدوات عرض بيانية (Power BI/Tableau) لدعم عملية اتخاذ القرار في مجال سلامة المرضى.

Requirement and Qualifications - المتطلبات والمؤهلات

• Bachelor or Master’s degree in Biostatistics, Epidemiology, Health Data Science, or a related field - درجة الباكلوريوس او الماجستير في الإحصاء الحيوي، علم الأوبئة، علوم بيانات الصحة، أو مجال ذي صلة.
• Patient Safety certification - شهادة في سلامة المرضى.
• Certified Professional in Healthcare Quality (CPHQ) - أخصائي معتمد في جودة الرعاية الصحية
• Machine Learning specialization - تخصص في التعلم الآلي.
• Lean Six Sigma Green/Black Belt - لين سقما
• Certified Health Data Analyst (CHDA) - محلل بيانات صحية معتمدة
• Proficiency in statistical software and tools such as SAS, R, SPSS, Power BI, or Python - إجادة استخدام البرمجيات والأدوات الإحصائية مثل SAS، R، SPSS، Power BI أو Python.
• Strong SQL and data querying from relational databases or cloud-based environments - إتقان SQL واستخراج البيانات من قواعد البيانات العلائقية أو البيئات السحابية.
• Advanced analytical and problem-solving skills, with ability to extract meaningful insights - مهارات تحليلية متقدمة وحل المشكلات مع القدرة على استنتاج رؤى ذات مغزى.
• Strong reporting skills with ability to communicate complex findings clearly - مهارات قوية في إعداد التقارير وعرض النتائج المعقدة بشكل واضح.
• Ensure data accuracy, quality, and security in compliance with internal policies and data governance standards - ضمان دقة وجودة وأمن البيانات بما يتماشى مع السياسات الداخلية ومعايير حوكمة البيانات.
• Cross-functional Collaboration - القدرة على التعاون الفعال مع فرق متعددة التخصصات.
• Strong communication and data presentation abilities for clinical and non-clinical audiences - قدرات تواصل متميزة وعرض البيانات بطريقة مناسبة للجمهور السريري وغير السريري.
• High attention to detail and accuracy in data work - دقة عالية واهتمام بالتفاصيل في العمل مع البيانات.
• Ability to collaborate effectively in multidisciplinary teams - القدرة على التعاون والعمل الجماعي بفعالية.

Referrals increase your chances of interviewing at Saudi Patient Safety Center - المركز السعودي لسلامة المرضى by 2x

1. Build and maintain high-performance microservices using Kotlin and Spring Boot
2. Model relational schemas, optimize SQL queries, and manage data consistency across MySQL and PostgreSQL
3. Collaborate with data scientists to consume ML models (e.g., via REST, gRPC), embed intelligent decisioning into backend services
4. Develop and maintain RESTful APIs; define contracts for frontend, partner services, or AI inference layers
5. Contribute to Docker/Kubernetes-based deployments, CI/CD pipelines, and monitoring (Grafana, Prometheus, etc.)
6. Review code, guide peers on best practices, and participate in architectural discussions and roadmap planning

Skills

• 5+ years of experience building production-ready backend systems
• Expert-level knowledge of Kotlin and Spring Boot ecosystem
• Strong experience with microservices, API design, and distributed systems
• Hands-on experience with MySQL and PostgreSQL including schema design and query optimization
• Solid understanding of software design patterns, RESTful principles, and secure coding practices
• Experience with containerized environments and orchestrators (Docker, Kubernetes)
• Familiarity with integrating AI/ML models (e.g., Python-based APIs, TensorFlow/ONNX serving, or model inference endpoints)
• Strong communication skills and ability to work across engineering and data teams

Roles & Responsibilities:

• Design and implement machine learning models, algorithms, and deep learning applications and systems.
• Optimize and scale ML models for production.
• Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications.
• Monitor model performance and identify differences in data distribution that could potentially affect model performance in real-world applications.
• Ensure algorithms generate accurate user recommendations.
• Prepare and clean data for model training, including data wrangling, feature engineering, and handling missing values.
• Integrate machine learning models into production systems (web applications, APIs) using software engineering best practices.
• Document the machine learning development process and model performance for future reference and collaboration.
• Stay up to date with developments in the machine learning industry.

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (preferred).
• At least 5 years of hands-on experience as machine learning engineer or similar role.
• Familiarity with Python, Java, C++, and R.

• Machine Learning Algorithms and Techniques (supervised, unsupervised, reinforcement learning).
• Software Engineering Principles (version control, testing, DevOps).
• Cloud Computing Platforms (AWS, Azure, GCP) (often a plus).
• Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms.
• In-depth knowledge of machine learning frameworks, like Keras or PyTorch.
• Familiarity with data structures, data modeling, and software architecture.
• Excellent time management and organizational skills.

Roles & Responsibilities:

• Design and implement machine learning models, algorithms, and deep learning applications and systems.
• Optimize and scale ML models for production.
• Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications.
• Monitor model performance and identify differences in data distribution that could potentially affect model performance in real-world applications.
• Ensure algorithms generate accurate user recommendations.
• Prepare and clean data for model training, including data wrangling, feature engineering, and handling missing values.
• Integrate machine learning models into production systems (web applications, APIs) using software engineering best practices.
• Document the machine learning development process and model performance for future reference and collaboration.
• Stay up to date with developments in the machine learning industry.

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (preferred).
• At least 5 years of hands-on experience as machine learning engineer or similar role.
• Familiarity with Python, Java, C++, and R.

• Machine Learning Algorithms and Techniques (supervised, unsupervised, reinforcement learning).
• Software Engineering Principles (version control, testing, DevOps).
• Cloud Computing Platforms (AWS, Azure, GCP) (often a plus).
• Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms.
• In-depth knowledge of machine learning frameworks, like Keras or PyTorch.
• Familiarity with data structures, data modeling, and software architecture.
• Excellent time management and organizational skills.