Data Scientist

Role & responsibilities

Role & responsibilities

Key Responsibilities • Develop and deploy predictive maintenance models to optimize asset performance and reduce downtime across industrial operations. • Design and implement generative AI solutions tailored to industry-specific challenges, including energy, utilities, and manufacturing. • Collaborate with cross-functional teams to integrate AI-driven insights into SDILs cloud platforms, ensuring scalability and security. • Lead the development of machine learning algorithms and statistical models to solve complex business problems. • Utilize advanced data visualization tools to communicate actionable insights to stakeholders. • Drive innovation by exploring and implementing emerging AI technologies relevant to SDILs strategic initiatives. • Ensure the robustness and accuracy of data pipelines and workflows, leveraging cloudbased architectures. • Mentor junior data scientists and contribute to building a high-performing analytics team. • Partner with Brahmaand.AI and Coredge.IO teams to align AI and cloud strategies with SDILs operational goals. • Monitor and evaluate the performance of deployed models, iterating to improve accuracy and business impact.

Preferred candidate profile

Required Qualifications & Experience • Proven expertise in predictive maintenance, generative AI, and cloud-based solutions, with 7–10 years of relevant experience. • Strong proficiency in programming languages such as Python, R, and SQL, along with experience in cloud platforms like AWS, Azure, or Google Cloud. • Demonstrated success in deploying AI models in industrial contexts, particularly within energy, utilities, or manufacturing sectors.

Perks and benefits

Preferred candidate profile