Data Scientist

Job Description

Job Description Data Scientist Business Division: IT - Corporate Department: IT Location: Hyderabad Reporting to: Analytics Lead Position Overview: We are seeking an experienced Data Scientist to develop and deploy advanced analytics solutions across various business functions. The role involves working with stakeholders to identify predictive analytics opportunities, build machine learning models, and drive data-driven decision-making. The ideal candidate will have strong expertise in ML modeling, data science, cloud computing, and data visualization to improve business processes and efficiency. Key Responsibilities: Collaborate with business units to design, develop, and implement advanced analytics use cases. Identify opportunities for predictive analytics and optimization, ensuring model accuracy and business impact. Develop, test, deploy, and maintain machine learning models (classification, regression, time series, clustering, NLP, Generative AI). Implement ML Ops best practices to manage and maintain deployed models. Work closely with analytics partners to validate solutions and ensure timely project delivery. Design and develop Power BI dashboards and business intelligence solutions. Utilize cloud platforms (Azure ML) and big data technologies for data processing and model deployment. Drive innovation and introduce best-in-class analytics practices in a manufacturing, pharma, FMCG, or IT environment . Required Qualifications & Experience: Education: Graduate/Postgraduate degree in Computer Science, Statistics, Data Science, or related field . Experience: 6+ years of hands-on experience in data science & analytics . 8-10 years of overall enterprise IT experience . Strong industry background in Chemical, Pharma, FMCG, Manufacturing IT, or IT/ITES Analytics organizations . Key Skills & Competencies: Expertise in ML modeling (classification, regression, clustering, time series, deep learning, reinforcement learning) . Strong programming skills in Python, SQL , and experience with Azure ML . Proficiency in Power BI for business intelligence and reporting. Understanding of enterprise applications (HRMS, ERP, CRM, etc.) . Strong problem-solving, analytical thinking, and organizational skills. Excellent communication, stakeholder management, and leadership abilities. Why Join Us? Opportunity to work on large-scale AI/ML-driven enterprise projects . Exposure to cutting-edge analytics and cloud technologies . Collaborate with a dynamic team to drive business transformation . If you are passionate about data-driven decision-making and have a strong technical background in machine learning and analytics , we invite you to be part of our innovative team!