Senior Data Scientist

Future Connections

2d • Hybrid

About The Position

Future Connections is seeking a Senior Data Scientist with a strong telecommunications background to join their R&D team. This role is highly focused on technical expertise and hands-on development, applying advanced AI techniques to complex telecom network data. The successful candidate will work on high-impact use cases, contributing to the design and implementation of sophisticated models that directly influence network performance and automation. This position involves end-to-end ownership of AI solutions, from problem framing and modeling to deployment and optimization in production environments.

Requirements

• Bachelor’s or Master’s degree in Telecommunications Engineering (or related field).
• 6–8+ years of hands-on experience applying Machine Learning in technical environments.
• Strong, practical expertise in telecom networks (RAN, KPIs, traffic behavior).
• Proven experience working with telecom network datasets.
• Deep knowledge of Machine Learning & Deep Learning, Neural Networks and model optimization, and Time-series analysis.
• Strong programming skills in Python (NumPy, Pandas, PyTorch/TensorFlow).
• Experience with SQL/NoSQL databases.
• Exposure to Generative AI / LLM technologies (prompt engineering, RAG pipelines, fine-tuning) and interest in applying them to telecom operations or network management contexts.
• Strong analytical mindset and problem-solving capabilities.
• English level B2+.

Nice To Haves

• Experience with Reinforcement Learning applied to telecom or control systems.
• Familiarity with Transformer architectures and sequence modeling.
• Experience in MLOps (model deployment, monitoring, CI/CD).

Responsibilities

• Design, develop and deploy advanced AI/ML models for telecom use cases such as network optimization, traffic prediction and anomaly detection, and QoS/QoE modeling and root cause analysis.
• Apply and adapt state-of-the-art AI techniques, including Deep Learning (CNNs, RNNs, Transformers), Reinforcement Learning for network optimization, and Time-series modeling at scale.
• Work deeply with real telecom network data (3G/4G/5G), understanding KPIs, counters, and traffic dynamics.
• Build production-ready solutions, ensuring scalability, performance, and reliability.
• Collaborate closely with data engineers and telecom experts to integrate AI models into real systems.
• Act as a technical reference within the team, contributing to best practices and code quality.
• Explore and apply Generative AI and LLM-based approaches to telecom use cases.

Benefits

• Competitive salary
• Health insurance
• Flexible Compensation Plan
• Annual training budget
• Time flexibility (flexible entry and exit times, reduced working day on Fridays and Summer)
• Involvement in cutting-edge national and international projects
• Flexible working model (remote, hybrid, or office-based)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior