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.
Data Scientists
The candidate should be highly skilled Data Scientist with hands-on experience in building and deploying data-driven solutions. The ideal candidate should be comfortable working with large datasets, applying advanced statistical and machine learning techniques, and translating business problems into actionable insights.
Key Responsibilities:
Required Skills & Tools:
Category
Skills & Tools
Programming
Python (pandas, scikit-learn, NumPy, matplotlib, seaborn), R, SQL.
Machine Learning
Supervised/unsupervised learning, time series forecasting, clustering, NLP, deep learning (optional).
Statistical Analysis
Hypothesis testing, regression models, Bayesian inference, multivariate analysis.
Data Engineering
Data preprocessing, cleaning, feature engineering, large dataset handling.
Big Data Tools
Spark, Hadoop, & Hive.
Model Deployment
MLflow, Docker, Kubernetes (for advanced roles).
Visualization
Power BI, Tableau, Plotly, Matplotlib, Seaborn.
Databases
SQL, NoSQL (MongoDB, Cassandra), cloud-native databases (BigQuery, Redshift, Snowflake).
Cloud Platforms
AWS (SageMaker, Redshift), GCP (Vertex AI, BigQuery), Azure (ML Studio, Data Lake).
Version Control
Git, GitHub/GitLab.
Collaboration
Experience working with Agile teams, using tools like Jira, Confluence, Slack.
Good To have:
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 - XYZ@t-systems.com
Stay vigilant. Protect yourself from recruitment fraud!
To know more please visit : Fraud Alert

Your digitalization partner with industry expertise
With locations in more than 26 countries and over 26,000 employees (2024), T-Systems is one of the leading providers of digital services in Europe. The Deutsche Telekom subsidiary is headquartered in Germany and has a presence in Europe as well as in selected core markets and strategic production locations. T-Systems can provide a global production and supply chain to companies operating worldwide.
T-Systems offers integrated end-to-end IT solutions, driving the digital transformation of companies in all industries and the public sector. T-Systems’ focus industries are automotive, the public sector, healthcare and transport. For these areas, T-Systems develops industryspecific solutions – so-called vertical applications.
The comprehensive portfolio of services includes secure operation of traditional IT infrastructures, migration to private cloud and public cloud environments of hyperscalers, as well as management of hybrid and multi-cloud infrastructures. T-Systems integrates customized platforms, industry-specific applications and innovative technologies such as artificial intelligence (AI), big data and blockchain into these infrastructures. To achieve this, the Telekom subsidiary works closely with leading global technology partners. The end-to-end services also include state-of-the-art security solutions and data protection in accordance with DSGVO requirements.
T-Systems pursues a holistic approach: consulting (advisory) and solutions from the areas of digital, cloud services and security are offered from a single source.
Become one of us: https://www.t-systems.com/de/en/company/careers
Imprint: https://www.t-systems.com/de/en/imprint