Principal Data Scientist

Company Description

At RAKBANK, we are committed to nurturing a culture of innovation, growth, and excellence. We go beyond being a bank — we are a thriving community fueled by teamwork, advanced solutions, and unwavering standards of governance.

Join us and be a part of shaping the future of RAKBANK!

Job Description

Modeling Expertise:

• Advanced experience in building and deploying propensity models for cross-sell and upsell.
• Deep understanding of Next Best Action / Next Best Offer engines.
• Strong grasp of supervised learning, uplift modeling, and causal inference.

Programming & Engineering:

• Expert-level coding in Python (mandatory); familiarity with R or Scala is a plus.
• Experience with distributed computing (Spark, Dask, Ray).
• Proficient in writing production-grade ML pipelines using tools like Airflow, MLflow, or Kubeflow.
• Strong understanding of software engineering best practices: version control, CI/CD, testing.

Data Infrastructure:

• Experience with cloud platforms (AWS/GCP/Azure) and data warehouses (Snowflake, BigQuery, Redshift).
• Strong SQL skills; ability to optimize queries and manage large datasets.

MLOps & Deployment:

• Experience deploying models to production via APIs or streaming systems (Kafka, Flink).
• Proficient in model versioning , experiment tracking , and deployment using MLflow, SageMaker, or Vertex AI.

Monitoring & Observability:

• Ability to set up model monitoring, drift detection, and alerting systems using Prometheus, Grafana, Evidently, or custom dashboards.
• Experience with logging frameworks and performance profiling for ML services.

GenAI (Preferred):

• Experience with LLMs, embeddings, prompt engineering, and vector databases (e.g., FAISS, Pinecone).
• Ability to integrate GenAI into decisioning systems or customer-facing products.

Leadership & Collaboration:

• Ability to lead senior data scientists while remaining hands-on.
• Comfortable working with product managers, engineers, and business stakeholders.

Qualifications

• Bachelor’s degree in a rellevant field including Econometrics,Acturial Science.Maths/Statistics,Computer Science etc,
• Strong Analytics experience in the bank sector is an advantage
• 10 years experience in a senior data scientist position
• Modelling experience including knoledge of Cloud,ML and GenAI

Additional Information

What’s In It for You

• Pay for performance culture (Competitive and performance-linked compensation)
• Diverse workforce and inclusive culture
• Career development and growth opportunities by design
• Work with the best minds in the field
• Get opportunities to bring your whole self to the organization and perform to your best.