Data Scientist – Agentic AI
Core
Design, implement, and evolve data- and model-driven agentic 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, Applied AI, Generative AI
Deliverable
production ML models
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 and engineers 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 in the solution lifecycle from data exploration to continuous improvement; Contribute to the development of agents, analytical pipelines, and decision logic; Document solutions and experiments to support adoption and scalability
Seniority
Mid-level, hands-on IC
