Principal Data Scientist

Job Purpose JOB DESCRIPTION To lead the development and deployment of advanced machine learning solutions that power personalized customer decisioning, while driving best‑in‑class modeling, MLOps, and data engineering practices. This role combines hands‑on technical expertise with leadership to deliver scalable models, robust pipelines, and high‑impact insights across the organization.Modeling ExpertiseWhat You Will Bring: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 & EngineeringExpert-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 InfrastructureExperience with cloud platforms (AWS/GCP/Azure) and data warehouses (Snowflake, BigQuery, Redshift).Strong SQL skills; ability to optimize queries and manage large datasets.MLOps & DeploymentExperience 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 & ObservabilityAbility 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 & CollaborationAbility to lead senior data scientists while remaining hands-on.Comfortable working with product managers, engineers, and business stakeholders.What You We Are Looking ForBachelor's degree in a relevant field including Econometrics,Acturial Science.Maths/Statistics, Computer Science etc,10 years' experience in a senior data scientist positionModelling experience including knowledge of Cloud and GenAIStrong Analytics experience in the bank sector is an advantageWhat’s In It For YouPay for performance culture (Competitive and performance-linked compensation)Diverse workforce and inclusive cultureCareer development and growth opportunities by designWork with the best minds in the fieldGet opportunities to bring your whole self to the organization and perform to your best.