Data Scientist Deutsche Telekom

At T-Systems, you will find groundbreaking projects that contribute to social and ecological well-being. We want to welcome new talents like you, who bring fresh ideas, different points of view, who accept challenges and continuous learning, to grow and impact society… All this, in a fun way!

It doesn't matter when or where you work. It's about doing work that matters to move society forward. For this reason, we will do everything possible to ensure that you have every opportunity to develop by offering you a support network, excellent technology, a new work environment and the freedom to work independently. We support you to constantly grow both personally and professionally, so that you can leave a notable mark on society.

T-Systems is a team of around 28,000 people employed around the world, making us one of the world's leading providers of integrated end-to-end solutions. We develop hybrid cloud and artificial intelligence solutions and drive the digital transformation of companies, industry, the public sector and, ultimately, society as a whole.

Data Scientist – Focus Renewable Energy Role

Summary

We are looking for a business-oriented Senior Data Scientist with strong experience in data transformation and visualization, eager to transform complex data into actionable insights. The candidate will mostly work on topics related to (renewable) energy, e.g. PV/Solar generation, BESS management, consumption analyses, and other typical automation/digitization tasks within an energy provider. The role focuses on analytical problem solving, development of models and dashboards, and supporting data-driven decision-making in close collaboration with the business side.

Key Responsibilities

• Conduct exploratory data analyses and derive insights that support decision-making
• Build advanced dashboards and simulation tools based on the requirements by the business side and translate business requirements into suitable technical solutions
• Communicate analytical findings and model results clearly to business and technical stakeholders
• Prepare model-ready datasets in collaboration with data engineers; implement feature engineering using Python and SQL.
• Present insights, model results, and recommendations in a clear and actionable way to non-technical stakeholders, enabling data-driven decision-making.

• Strong hands-on experience with Python (e.g., pandas, NumPy, scikit-learn, statsmodels).
• Strong SQL skills for data exploration and feature development
• Experience with one or more data visualization tools (Looker, Tableau, Power BI, Grafana).
• Experience working with GCP or any other comparable cloud platform.
• Ability to structure ambiguous problems and translate them into analytical solutions.
• Experience working in cross-functional teams with product, engineering, and business stakeholders. Nice-to-Have
• Relevant work experience in the energy industry, focusing on electricity generation (esp. Renewables), battery storage systems, (smart) grid operations, or comparable
• Familiarity with ML Ops processes (model monitoring, CI/CD for ML, drift detection).
• Solid statistical knowledge: hypothesis testing, regression, sampling, experiment design
• Experience with deep learning frameworks (TensorFlow, PyTorch).
• Knowledge of big data tools (Spark, Beam).

What do we offer you?

• International, positive, dynamic and motivated work environment.
• Hybrid work model (teleworking/on-site).
• Flexible schedule.
• Continuous training: Preparation for certifications, access to Coursera, weekly English and German classes...
• Flexible compensation plan: health insurance, meal vouchers, childcare, transport assistance...
• Life and accident insurance.
• More than 26 working days of vacation per year.
• Social fund.
• Free service for specialists (doctors, physiotherapists, nutritionists, psychologists, lawyers...)
• 100% of salary in case of sick 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.