Predictive Analytics Data Scientist-AI Labs

Purpose/Objective

The Data Scientist - Predictive will play a pivotal role in leveraging advanced predictive analytics and machine learning models to drive operational efficiency, sustainability, and innovation across Adani Group’s diverse business verticals. This role is integral to Adani AI Labs’ mission of embedding AI-driven solutions into the group’s strategic initiatives, including energy optimization, logistics efficiency, and digital transformation. The position will focus on developing and deploying predictive models that align with the group’s sustainability goals and operational priorities.

Key Responsibilities of Role

Key Responsibilities - Develop and deploy predictive analytics models to optimize operations in energy, logistics, and infrastructure sectors. - Collaborate with cross-functional teams to identify key business challenges and design AI-driven solutions. - Utilize machine learning algorithms to forecast asset performance and enable predictive maintenance. - Analyze large datasets to uncover actionable insights that enhance decision-making processes. - Design and implement AI models for supply chain optimization and resource management. - Contribute to the development of proprietary AI algorithms tailored to Adani Group’s operational needs. - Monitor and evaluate the performance of predictive models, ensuring accuracy and reliability. - Stay updated with the latest advancements in AI and machine learning to integrate cutting-edge technologies into projects. - Support the group’s sustainability initiatives by developing models to monitor and reduce carbon footprints. - Document and present findings, methodologies, and results to stakeholders in a clear and actionable manner.

Technical Competencies

Machine Learning & Predictive Modelling,Data Engineering & Big Data Handling,AI Algorithm Development & Deployment,Domain-Specific Analytics & Simulation

Qualifications and Experience

Required Qualifications & Experience - Proven experience (1-3 years) in predictive analytics, machine learning, or data science roles. - Hands-on experience with Python, R, or similar programming languages for data analysis and model development. - Strong understanding of machine learning algorithms, statistical methods, and data visualization techniques. - Experience in working with large datasets and cloud-based platforms (e.g., AWS, Azure, or Google Cloud). Educational Background - Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. - Advanced certifications in AI/ML or predictive analytics are preferred. Years & Type of Experience - 1-3 years of experience in predictive analytics, preferably within industries such as energy, logistics, or infrastructure. - Demonstrated ability to develop and deploy machine learning models in real-world scenarios.