Senior Data Scientist Drive AI Innovation at Jeel!
Location: Riyadh, Saudi Arabia
Company: Jeel Digital Innovations (A Subsidiary of Riyad Bank)
About Jeel Digital Innovations:
Jeel is more than a tech company; we are a bold digital movement redefining financial services through AI, data science, and cutting-edge digital products. As a subsidiary of Riyad Bank, Jeel combines start-up agility with the scale and security of a major financial institution.
We’re building a future where data is not just analyzed; it’s activated to solve real-world challenges. If you’re passionate about machine learning, intelligent automation, and ethical AI, we want you on our team.
About the Role:
As a Senior Data Scientist at Jeel, you’ll lead the design, development, and deployment of scalable AI/ML solutions that directly impact customers, internal decision-making, and business outcomes. You’ll work across data engineering, MLOps, analytics, and governance while exploring the frontier of GenAI, LLMs, and applied data science in fintech.
This role isn’t just about building models; it’s about shaping the AI strategy of a digitally ambitious organization.
Key Responsibilities:
- AI Strategy & Model Development: Build and operationalize ML models that solve high-impact business problems using Python, TensorFlow, PyTorch, and Scikit-learn.
- Data Analytics & Visualization: Deliver predictive insights via tools like Tableau, Power BI, and Apache Superset.
- MLOps & Deployment: Deploy robust, scalable models via CI/CD, Docker, Kubernetes, and cloud platforms (GCP, Azure, AWS).
- Cost Efficiency & Performance Tuning: Optimize data pipelines, AI workloads, and storage costs across cloud-native platforms.
- Ethical AI & Governance: Ensure regulatory compliance (SAMA, GDPR, NCA) and promote responsible AI standards.
- Cross-Functional Collaboration: Work closely with engineers, product owners, and business leaders to embed intelligence into every decision.
Who We’re Looking For:
- Education: Bachelor’s or Master’s in Computer Science, Data Science, AI, Statistics, or related field.
- Experience: 5+ years in data science/ML; hands-on cloud AI deployment; MLOps and big data engineering.
- Technical Stack: Python, R, SQL, Spark, TensorFlow, PyTorch, Scikit-learn, Docker, Kubernetes, GitLab CI, Apache Kafka.
- Bonus: Experience with LLMs, RAG, NLP, and real-time data streaming.
- Soft Skills: Strategic mindset, excellent storytelling, collaboration, and curiosity.
Why Join Jeel:
- Impact-Driven AI Work: Solve real challenges in fintech and digital banking with ethical, future-ready AI.
- Full-Stack Data Environment: Engage across model building, data engineering, deployment, and experimentation.
- Learn & Grow: Continuous learning is in our DNA. Explore LLMs, AutoML, cloud AI, and emerging trends.
- A Collaborative Culture: Work with mission-driven experts who believe in purpose, autonomy, and excellence.
- Shape Tomorrow: Your insights will drive innovation across Jeel’s next-gen digital products and services.
Ready to Build the Future of AI at Jeel?
If you’re excited about innovation, passionate about data, and driven to make a difference, apply now and join us on this journey.