Senior Data Scientist Enterprise AI

To  design and deploy enterprise-scale AI solutions that transform decision-making across business domains. You'll focus on high-impact use cases such as pricing optimization, anomaly detection, and predictive intelligence in network, customer, and operational environments.

Key Responsibilities

• Lead end-to-end AI initiatives (pricing, anomaly detection, forecasting).
• Build and productionize scalable AI/ML pipelines integrated into enterprise workflows.
• Leverage diverse datasets for insights, scenario testing, and optimization.
• Drive experimentation (A/B testing, segmentation, lifecycle marketing).
• Mentor junior data scientists and ensure code quality.

Key Requirements 

• Bachelor's/Postgraduate in Computer Science, Statistics, or related field.
• 3+ years of relevant experience; telecom/insurance analytics a plus.
• Strong expertise in ML/statistical modeling, Generative AI/LLMs, SQL, Python, Spark, Databricks.
• Familiarity with cloud platforms (Azure, AWS, GCP) and ML lifecycle tools (MLflow, Airflow).
• Excellent problem-solving, communication, and visualization skills.
• Experience mentoring and collaborating in technical teams.