Location: Rome / Hybrid
Azienda: Estiatech S.r.l. – Consulting and System Integration Company
Global team | Telecommunications & Technology
Position: Data Scientist
Estiatech Srl is partnering with a leading global group in the Telecommunications and Technology sectors to find a talented Senior Data Engineer. This is an exciting opportunity to join a Big Data division where you'll help drive the future of data architecture and solutions at scale.
Overview
A leading multinational group in the telecommunications and technology sector, is seeking a highly skilled and forward-thinking Data Scientist to lead initiatives in predictive modeling for telecommunications financials and Agentic AI development. This role combines deep statistical modeling expertise with cutting-edge AI capabilities to drive strategic insights, automation, and intelligent decision-making across financial operations and customer-facing systems.
Key Responsibilities
- Design and implement analytical and predictive models for revenue/cost forecasting and management, churn prediction, cost optimization, and financial risk analysis.
- Develop and deploy Agentic AI systems capable of autonomous decision making and multiagent collaboration.
- Collaborate with finance, operations, and product teams to translate business objectives into data driven solutions.
- Ensure model interpretability, fairness, and regulatory compliance.
- Lead experimentation and validation cycles using real world telco datasets.
- Contribute to the strategic roadmap for AI driven financial transformation.
Required Technical Skills
- Proficiency in advanced techniques in time series analysis: ARIMA, Exponential Smoothing, Box Jenkins, etc.
- Proficiency in AI & Machine Learning Models: Regression Analysis, Scenario Analysis, Clustering & Segmentation, Random Forests & Decision Trees, Neural Networks (RNN, LSTM), Support Vector Machines (SVM), etc.
- Knowledge of econometrics and optimization models: Linear and Nonlinear Programming optimization, Stochastic optimization, Metaheuristics optimization, Vector Autoregression (VAR), Mixed-Integer Optimization, etc.
- Strong Experience in Model Evaluation and Validation: Cross-Validation, Performance Metrics, Overfitting & Regularization, etc.
- Ability to architect and train multimodal AI agents: implement agentic solutions using LLMs, simulation environments, and planning frameworks. Handson experience with Agentic AI architecture, including planning, memory, and tool use.
- Strong programming proficiency in Python (including PySpark), SQL, and ML frameworks. Hands-on experience with LLM orchestration frameworks (e.g., LangChain, Semantic Kernel, AutoGen, MS Copilot, etc.).
- Understanding of telco financial structures (ARPU, OPEX/CAPEX, customer lifecycle metrics).
- Knowledge of cloud platforms (Azure preferred)
- Knowledge and experience with MLOps, CI/CD and distributed version control systems (preferred Git).