Senior Data Scientist

Job Description

If you are looking for new challenges that encourage you to continue growing both professionally and technologically, then, Future Connections is the place for you!

Future Connections is a way of understanding technology and the future of telecommunications, by helping network operators and service providers to bridge the gap between legacy and innovative technologies (Cloud, 5G, Big Data, Machine Learning, among others). We develop and deliver customized services and products that enhance, strengthen and automate business processes and provide new levels of efficiency thanks to our expert guidance, based on real understanding of the Telco sector, mainly in the planning, design, optimization and automation of networks.

Besides the technological aspect, we offer you the opportunity to collaborate with great people (and excellent professionals) and grow in an environment that promotes both teamwork and flexibility. Our working model is adapted to each role and team, combining remote, hybrid, and office-based approaches while supporting your ongoing professional development.

Position Summary

We are looking for a Senior Data Scientist with a strong telecommunications background to join our R&D team.

This role is highly focused on technical expertise and hands-on development, applying advanced AI techniques to complex telecom network data. You will work on high-impact use cases, contributing to the design and implementation of sophisticated models that directly influence network performance and automation.

You will take end-to-end ownership of AI solutions, from problem framing and modeling to deployment and optimization in production environments.

What you will work on:

• Design, develop and deploy advanced AI/ML models for telecom use cases such as:
• Network optimization
• Traffic prediction and anomaly detection
• 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
• 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

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 dataset
• Deep knowledge of:
• Machine Learning & Deep Learning
• Neural Networks and model optimization
• 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 have:

• 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)

Benefits

• Competitive salary, Health insurance and Flexible Compensation Plan as an enterprise benefit
• Annual training budget to help you stay technologically up to date and grow professionally.
• Time flexibility: our life is not just a working day; we give you flexibility both in entry and exit. In addition, we enjoy a reduced working day on Fridays and Summer (July and August).
• Our projects are Cutting-edge in technology and are in both national and international environments, making your growth global.
• We provide a flexible working model adapted to the needs of each role and team, with options ranging from remote to hybrid or office-based arrangements.​
• Our employee satisfaction survey tell us that we have a great work environment and great professionals in the company. Do you want to check it out? Join us!