AI, Python engineer

T-Systems ICT India Pvt. Ltd.; Pune District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

T-Systems ICT India Pvt. Ltd. is a leading IT services provider operating from Pune and Bangalore, delivering data analytics and data science solutions for global clients.

The Data Analytics & Data Science Specialist will drive data-driven decision support, build models, and shape data platforms across multiple business units. The role requires strong analytics skills, experience with modern cloud data platforms, and proficiency in SQL, Python, and visualization tools.

Qualifications

• Strong experience in Data Analytics, Data Science, or related fields.
• Hands-on experience with data modeling, data transformation, and data management techniques.
• Knowledge of Machine Learning, Statistical Analysis, and Predictive Modeling.
• Experience working with modern data platforms such as Azure, AWS, Google Cloud, Databricks, Snowflake, or similar.
• Proficiency in SQL and programming languages such as Python or R.
• Experience with data visualization and reporting tools such as Power BI, Tableau, or equivalent.
• Strong analytical, problem-solving, and stakeholder management skills.
• Experience managing analytics or data-driven projects.

Responsibilities

• Analyze, assess, and interpret large datasets using advanced analytics techniques on modern data platforms.
• Prepare reports, dashboards, and insights to support business decision-making.
• Evaluate data structures, data quality, and business processes to identify improvement opportunities.
• Design, develop, and maintain effective data models to support analytical and operational requirements.
• Apply machine learning techniques and integrate analytical outcomes into business solutions and processes.
• Perform data transformation activities including data enrichment, blending, expansion, filtering, consolidation, and cleansing.
• Develop and present recommendations, decision-making proposals, and actionable insights to stakeholders.
• Collaborate with cross-functional teams to implement data-driven solutions and drive continuous improvement.

Skills

Data Analytics

Data Science

Data modeling

Data transformation

SQL

Python

Power BI

Tableau

Stakeholder management

Project management

Tools

Azure

AWS

Google Cloud

Databricks

Snowflake

Job description

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.

Job Description

Job Description – Data Analytics & Data Science Specialist

Key Responsibilities:

• Analyze, assess, and interpret large datasets using advanced analytics techniques on modern data platforms.
• Prepare reports, dashboards, and insights to support business decision-making.
• Evaluate data structures, data quality, and business processes to identify improvement opportunities.
• Design, develop, and maintain effective data models to support analytical and operational requirements.
• Apply machine learning techniques and integrate analytical outcomes into business solutions and processes.
• Perform data transformation activities including data enrichment, blending, expansion, filtering, consolidation, and cleansing.
• Prepare cost-benefit analyses and support techno-economic evaluations for data-driven initiatives.
• Develop and present recommendations, decision-making proposals, and actionable insights to stakeholders.
• Participate in the development of assessment, monitoring, and steering tools for handling multiple data sources and ensuring data availability.
• Manage end-to-end analytics and data science projects, ensuring timely delivery and alignment with business objectives.
• Collaborate with cross-functional teams to implement data-driven solutions and drive continuous improvement.

Required Skills & Qualifications

• Strong experience in Data Analytics, Data Science, or related fields.
• Hands‑on experience with data modeling, data transformation, and data management techniques.
• Knowledge of Machine Learning, Statistical Analysis, and Predictive Modeling.
• Experience working with modern data platforms such as Azure, AWS, Google Cloud, Databricks, Snowflake, or similar.
• Proficiency in SQL and programming languages such as Python or R.
• Experience with data visualization and reporting tools such as Power BI, Tableau, or equivalent.
• Strong analytical, problem‑solving, and stakeholder management skills.
• Experience managing analytics or data‑driven projects.

Preferred Qualifications

• Experience in cloud‑based data ecosystems and big data technologies.
• Understanding of data governance, data quality, and data architecture principles.
• Certifications in Data Analytics, Data Science, Machine Learning, Azure, AWS, or related technologies are an advantage.