Data Scientist Deutsche Telekom (m/f/d)

We need your AI knowledge to support us in developing Telekoms next step of strategic models for the fibre rollout. Identify in a small AI team the problems and needs coming up with the rollout. Improve our business by analysing relevant KPIs for success. Python Coding, NOR Pass needed

Activity description and concrete tasks

You will work in a small team on new projects with the focus of fibre rollout topic. In the beginning you will get support from the team, but the better you perform you will get your own small projects.

Must-have requirements

• Proficiency in Python coding and SQL
• Proven track record of end-to-end machine learning project experience
• Advanced knowledge in machine learning and deep learning methodologies
• Deep theoretical knowledge of probability, statistics, and optimisation
• Expert-level experience in anomaly detection, time series forecasting, and supervised learning
• Strong data visualisation and communication skills to present findings to stakeholders

What do we offer you?

Work environment & flexibility

• International, dynamic and collaborative environment
• T-Social: social initiatives (sports, community, health, ...)
• Hybrid work model (remote/on-site)
• Flexible working hours

Growth & development

• Customized training: access to Coursera to learn whatever you want, whenever you want
• Weekly language classes (English & German)
• International Mentoring Sessions & Experience Days

Compensation & benefits

• Flexible compensation plan (health insurance, meal vouchers, childcare, transport)
• Telemedicine
• Life and accident insurance
• Social fund

Wellbeing & time off

• 26+ working days of vacation per year
• Free access to specialist services (medical, legal, wellness)
• 100% salary coverage during medical leave

And many more advantages of being part of T-Systems!

If you are looking for a new challenge, do not hesitate to send us your CV. Join our team!

T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer.