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.
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.