About the role
Location: Mumbai (Hybrid)
Experience: 5–7 Years
About the Company
Ascendion is a leader in AI-powered software engineering, helping businesses innovate faster, smarter, and with greater impact. We partner with Global 2000 clients across North America, APAC, and Europe to solve complex challenges in data, experience design, software product engineering, and workforce transformation. Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI™ (EngineeringAI) method, we deliver measurable outcomes that build trust, unlock value, and accelerate growth. Learn more at .
About the Role
We are looking for a highly skilled Data Scientist with strong Python expertise and hands-on experience in machine learning and data analysis. This role focuses on working with ESG (Environmental, Social, Governance) datasets, including semi-structured and unstructured data, to drive meaningful insights and build scalable data solutions.
You will play a key role in enhancing an existing internal Python codebase while developing new data-driven capabilities, integrating external data sources, and contributing to advanced analytics initiatives.
Key Responsibilities- Enhance, maintain, and extend an existing Python-based internal codebase
- Develop new data processing pipelines and analytical functionalities
- Retrieve, process, and integrate data from external APIs
- Work extensively with semi-structured and unstructured ESG datasets (JSON, XML, text data)
- Perform data wrangling, cleaning, transformation, and validation
- Conduct feature engineering and build machine learning models
- Evaluate and optimize models for performance and scalability
- Translate complex data into actionable business insights
- Collaborate with cross-functional teams to deliver data-driven solutions
- Strong proficiency in Python for data science (pandas, NumPy, scikit-learn)
- Hands-on experience with:
- Feature engineering
- Model development and evaluation
- Data preprocessing and transformation
- Experience working with APIs for data retrieval and integration
- Strong experience handling semi-structured/unstructured data
- Ability to work with and improve an existing production-level codebase
- Solid understanding of data analysis, statistics, and machine learning concepts
- Strong problem-solving and analytical thinking skills
- Work on high-impact ESG and sustainability-driven projects
- Opportunity to shape and scale data science capabilities
- Collaborative and innovation-driven work environment
- Competitive compensation and flexible hybrid work model