Job Purpose

JOB DESCRIPTION

To lead the development and deployment of advanced machine learning solutions that power personalized customer decisioning, while driving bestinclass modeling, MLOps, and data engineering practices. This role combines handson technical expertise with leadership to deliver scalable models, robust pipelines, and highimpact insights across the organization.

Modeling Expertise

What 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 & 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.

What You We Are Looking For

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

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.

Principal Data Scientist