Data Scientist – Agentic AI
Core
Design, implement, and evolve data- and model-driven Agentic and Generative AI solutions for client delivery and internal operational efficiency.
Role type
Applied AI Data Scientist (Agentic AI)
Builds
Applied AI and agent-based solutions, machine learning models, and LLM-based components
Domain
Enterprise IT services, Agentic AI, Generative AI
Deliverable
production ML models | product features
Required skills
Python, Pandas, NumPy, Scikit-learn, Matplotlib, XGBoost, LightGBM, neural networks, deep learning frameworks (TensorFlow, PyTorch), data preprocessing, handling missing values, unbalanced datasets, outlier detection
Preferred skills
data pipelines, ETL processes, data preparation workflows, data visualization
Technologies
Python, Pandas, NumPy, Scikit-learn, Matplotlib, XGBoost, LightGBM, TensorFlow, PyTorch
Responsibilities
Collaborate with data scientists, engineers, and architects to build applied AI and agent-based solutions; Develop, validate, and evolve machine learning models and LLM-based components for real business use cases; Participate across the solution lifecycle including data exploration, prototyping, validation, and continuous improvement; Contribute to the development of agents, analytical pipelines, and decision logic; Document solutions, experiments, and learnings to support adoption and scalability
Seniority
Mid-level, hands-on IC