VI
DATA SCIENTIST
- Hiring from
- India
- Work type
- Hybrid
- Posted
- Oct 1, 2026
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Job Description
Summary
We are seeking a skilled Data Scientist to join our IT Services division, where you will play a pivotal role in transforming complex datasets into actionable business insights. This position demands a professional who can leverage advanced statistical methods and machine learning algorithms to solve critical challenges and drive strategic decision-making. The ideal candidate will bridge the gap between raw data and practical applications, ensuring that our analytical models are robust, scalable, and aligned with organizational goals.
Responsibilities
- Design, develop, and deploy sophisticated machine learning models and deep learning architectures to address specific business problems.
- Conduct comprehensive exploratory data analysis (EDA) to uncover hidden patterns, trends, and anomalies within large-scale datasets.
- Engineer features and optimize data pipelines using Python libraries such as Pandas, NumPy, and PySpark to ensure high-quality input for modeling.
- Apply natural language processing (NLP) techniques and work with Large Language Models (LLMs) and Generative AI to enhance text-based analytics and automation.
- Utilize frameworks like TensorFlow, PyTorch, and Scikit-learn to build, train, and validate predictive models and neural networks.
- Create interactive and intuitive dashboards using Power BI and Tableau to communicate findings effectively to stakeholders.
- Perform rigorous statistical analysis and hypothesis testing to validate model performance and ensure data integrity.
- Collaborate with cross-functional teams to integrate data science solutions into production environments and support ongoing model maintenance.
Requirements
Requirements:
- Possess 3 to 4 years of hands-on experience in data science, analytics, or a related technical field within the IT Services sector.
- Demonstrate strong proficiency in Python and SQL for data manipulation, querying, and algorithm implementation.
- Show deep expertise in machine learning, statistics, and data visualization techniques.
- Be well-versed in core libraries including Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, and PyTorch.
- Have practical experience with NLP, Generative AI, and LLM technologies.
- Display the ability to translate complex technical concepts into clear business strategies using tools like Power BI and Tableau.
- Maintain a solid understanding of data analysis methodologies and the capacity to work with large, unstructured datasets.