Data Scientist

Company Introduction – T-Systems ICT India Pvt. Ltd. T-Systems Information and Communication Technology India Private Limited (T-Systems ICT India Pvt. Ltd.) is a certified Great Place To Work®, proudly recognized for its strong people-first culture and commitment to employee excellence. As a wholly owned subsidiary of T-Systems International GmbH, T-Systems India operates out of Pune and Bangalore, with a dynamic team of over 4,200 professionals delivering high-value IT services to group customers worldwide. T-Systems India plays a key role in this global vision by delivering integrated, end-to-end IT solutions and sector-specific software to drive transformation across industries, including automotive, manufacturing, logistics, transportation, healthcare, and the public sector. For over 25 years, T-Systems International GmbH has been at the forefront of digital innovation, driving progress and fostering digital optimism. As a leading European IT services provider and a proud part of Deutsche Telekom, T-Systems delivers transformative digitalization projects backed by deep expertise in consulting, cloud, AI, cybersecurity, and connectivity. With a global workforce of 26,000 employees across 26 countries, we set industry benchmarks in efficiency, sovereignty, security, and reliability—empowering organizations to unlock their full digital potential. With annual revenues exceeding EUR 4.0 billion (2024), T-Systems stands as one of Europe’s foremost digital transformation partners, committed to shaping the future of enterprise technology.

We are seeking a Data Scientist Experience range 6 9 years ML Engineer to design and implement advanced machine learning models aimed at reducing customer churn and order cancellations The role involves working closely with cross functional teams to build predictive solutions that identify at risk customers before cancellation events occur and enable proactive retention strategies The Data Scientist will play a key role in end to end model development from data exploration and feature engineering to model training evaluation and deployment on the GCP environment The work will include leveraging large scale data pipelines using PySpark developing ML and deep learning models with Python and PyTorch and collaborating with Data Engineering and business teams to ensure production readiness and measurable business impact While the initial focus will be on reducing broadband order cancellations the underlying ML framework will be designed to support future applications such as customer lifecycle management upsell cross sell prediction and service quality analytics across multiple business domains Key Responsibilities Perform data exploration and feature engineering on large structured and unstructured datasets Build and evaluate predictive ML and deep learning models for customer behavior prediction including customer lifetime value CLV churn and conversion propensity Collaborate with Data Engineering teams to develop scalable data pipelines on Google Cloud Platform GCP Work with Product and Engineering teams to align data models and analytical frameworks with business goals Translate analytical findings into actionable insights that support marketing and retention strategies Contribute to MLOps practices for continuous model improvement and deployment Support other data driven initiatives beyond cancellation prediction such as personalization retention and service analytics

Please Note: Fraudulent job postings/job scams are increasingly common. Beware of misleading advertisements and fraudulent communication issuing 'offer letters' on behalf of T-Systems in exchange for a fee. Please look for an authentic T-Systems email id - [email protected].

Stay vigilant. Protect yourself from recruitment fraud!

To know more please visit : Fraud Alert