Cég leírása As Hungary’s most attractive employer in 2025 (according to Randstad’s representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries. DT-ITS recieved the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team. Állás leírása Data Scientist szerepkörben keresünk Total Workforce Management területre olyan munkatársat, aki komplex, különböző IT-rendszerekből származó adatok feldolgozásával, egységesítésével és előkészítésével támogatja az előrejelzési folyamatokat, valamint biztosítja az adatminőséget és átláthatóságot. Feladatleírás: - Adatok konszolidálása és feldolgozása az FMO Workload-Forecast számára - Különböző BSS forrásokból (IT-rendszerek, Simple, felhőalapú adatok) származó, eltérő szerkezetű nyersadatok egységes adatstruktúrába történő átültetése - Plauzibilitási vizsgálatok végrehajtása - Adatok előkészítése PowerAutomate segítségével PowerBI vizualizációhoz - PoP BSS szolgáltatáskatalógus ellenőrzése a szükséges szolgáltatás azonosításához - Szolgáltatásleírás kitöltése minden releváns információval - Kérelem elküldése a megadott e-mail elosztólistára - Pozitív elbírálás esetén kapcsolatfelvétel a PoP Business Steering csapattal az igény rögzítéséhez - Az igénylési folyamat rendelkezésre állítása Képzettség - Magas szintű ismeretek Simple, Jedox és Excel használatában - Tapasztalat PowerBI és PowerAutomate rendszerekkel - Előny: Python programozási nyelv ismerete - Gyors tanulási képesség - Német nyelvtudás - Angol nyelvtudás előnyt jelent További információk * Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation. - Company: Deutsche Telekom ITTC Hungary Kft.

• Partner with Marketing to Define and Solve Problems – Work closely with marketing stakeholders to understand business challenges, define success metrics, and translate needs into analytical approaches that drive performance across campaigns and channels. • Design and Deliver Data-Driven Solutions – Apply statistical analysis and machine learning to develop solutions that address business needs, then present findings, influence decisions, and gain alignment on adoption. • Lead Experimentation and Optimization – Develop and manage testing frameworks (A/B testing, campaign experimentation) across channels and markets. Analyze results and provide clear recommendations to improve performance and inform future strategy. • Translate Results into Business Impact – Clearly communicate insights and quantify outcomes (e.g., campaign performance lift, engagement improvements, ROI) to ensure stakeholders understand the value and take action. • Partner to Operationalize Solutions – Collaborate with Technology and Engineering teams to transition validated models into production, supporting implementation through scalable pipelines and processes. • Influence Through Storytelling – Present insights and recommendations to both technical and non-technical audiences, including senior stakeholders, to drive alignment and decision-making.

• Independently solves complex, ambiguous business problems and brings new perspectives to existing solutions across operational, financial, and clinical domains. • Structures and leads advanced analytical and AI-driven approaches (e.g., predictive modeling, machine learning, optimization, forecasting, and emerging AI applications) to address high-impact business challenges. • Partners closely with business stakeholders to understand objectives, constraints, and success metrics; translates these into scalable analytical solutions and actionable recommendations. • Acts as an analytics product owner by defining problem statements, shaping solution approaches, prioritizing workstreams, and driving measurable business outcomes. • Leads development of moderately complex solutions with meaningful business risk and visibility, ensuring rigor, explainability, and operational scalability. • Develops and delivers executive-ready presentations that clearly communicate technical findings, trade-offs, and recommendations to senior leadership and client-facing teams. • Applies strong knowledge of statistical methods, machine learning algorithms, and AI techniques to detect patterns, assess risk, and generate business insights. • Uses advanced programming skills to explore, transform, and analyze large and complex datasets from multiple internal and external sources. • Demonstrates strong consulting skills, including proactive problem identification, stakeholder alignment, and the ability to influence decision-making in cross-functional environments.

• Architect, train, and deploy generative AI models, including large language models (LLMs) and transformer-based systems. • Develop robust predictive and optimization models using structured and unstructured data sources. • Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment. • Partner with cross-functional teams to translate business requirements into scalable AI solutions. • Drive model lifecycle management from research and experimentation through deployment and monitoring. • Maintain high standards for model governance, explainability, performance, and ethical AI. • Stay at the forefront of GenAI advancements and proactively evaluate new tools, methods, and frameworks.