Senior Data Scientist

jeel; Saudi Arabia; On-site; SAR 120,000 - 240,000; Full time

Job summary

An established industry player is seeking a Senior Data Scientist to drive AI innovation in fintech. This role involves leading the design and deployment of scalable AI/ML solutions that will impact customer experiences and business decisions. You will work with cutting-edge technologies, engage in ethical AI practices, and collaborate across teams to ensure data-driven strategies. If you're passionate about leveraging data to solve real-world challenges and thrive in a dynamic environment, this is the opportunity for you. Join a mission-driven team dedicated to redefining financial services through innovative AI solutions.

Benefits

Continuous Learning Opportunities

Collaborative Work Environment

Impact-Driven Projects

Access to Cutting-Edge Technology

Qualifications

• 5+ years of experience in data science and machine learning.
• Hands-on experience with cloud AI deployment and MLOps.

Responsibilities

• Lead the design and deployment of scalable AI/ML solutions.
• Collaborate with cross-functional teams to embed intelligence.

Skills

Machine Learning

Data Science

Python

MLOps

Cloud AI Deployment

Data Analytics

Strategic Mindset

Collaboration

Education

Bachelor's in Computer Science

Master's in Data Science

Master's in AI

Master's in Statistics

Tools

TensorFlow

PyTorch

Scikit-learn

Tableau

Power BI

Docker

Kubernetes

GitLab CI

Apache Kafka

Job description

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:

1. AI Strategy & Model Development: Build and operationalize ML models that solve high-impact business problems using Python, TensorFlow, PyTorch, and Scikit-learn.
2. Data Analytics & Visualization: Deliver predictive insights via tools like Tableau, Power BI, and Apache Superset.
3. MLOps & Deployment: Deploy robust, scalable models via CI/CD, Docker, Kubernetes, and cloud platforms (GCP, Azure, AWS).
4. Cost Efficiency & Performance Tuning: Optimize data pipelines, AI workloads, and storage costs across cloud-native platforms.
5. Ethical AI & Governance: Ensure regulatory compliance (SAMA, GDPR, NCA) and promote responsible AI standards.
6. Cross-Functional Collaboration: Work closely with engineers, product owners, and business leaders to embed intelligence into every decision.

Who We’re Looking For:

1. Education: Bachelor’s or Master’s in Computer Science, Data Science, AI, Statistics, or related field.
2. Experience: 5+ years in data science/ML; hands-on cloud AI deployment; MLOps and big data engineering.
3. Technical Stack: Python, R, SQL, Spark, TensorFlow, PyTorch, Scikit-learn, Docker, Kubernetes, GitLab CI, Apache Kafka.
4. Bonus: Experience with LLMs, RAG, NLP, and real-time data streaming.
5. Soft Skills: Strategic mindset, excellent storytelling, collaboration, and curiosity.

Why Join Jeel:

1. Impact-Driven AI Work: Solve real challenges in fintech and digital banking with ethical, future-ready AI.
2. Full-Stack Data Environment: Engage across model building, data engineering, deployment, and experimentation.
3. Learn & Grow: Continuous learning is in our DNA. Explore LLMs, AutoML, cloud AI, and emerging trends.
4. A Collaborative Culture: Work with mission-driven experts who believe in purpose, autonomy, and excellence.
5. 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.