Data Scientist Machine Learning Engineer

The Data Scientist/Machine Learning professional will collaborate with clients to understand business challenges and translate complex problems into scalable data-driven solutions. Responsibilities include engaging with stakeholders to define analytical approaches, performing hypothesis testing and root cause analysis, developing predictive and prescriptive statistical models using machine learning algorithms, conducting exploratory data analysis and feature engineering, extracting and processing data from EDW and large-scale data platforms, preparing datasets, and training, testing, validating, and optimizing models. This position also involves supporting knowledge-sharing sessions, contributing to internal best-practice documentation, and helping to build a culture of continuous learning within the data science team. The team also values individuals who can adapt quickly to new tools and evolving business requirements.

3-8 years of experience in Machine Learning/Data Science with proficiency in Python, PySpark, and AWS. Strong knowledge of Python libraries: NumPy, Pandas, SciPy, Scikit-learn. Experience with distributed big data processing tools such as PySpark. Working knowledge of Linux and AWS. Any Graduate or Any Postgraduate. A strong customer-first attitude and willingness to travel to client locations as needed will be an added advantage for this role. Familiarity with change management practices and a track record of successful stakeholder engagement across diverse business units is preferred.