Embark on an exciting journey as a Data Science Analyst, driving innovation and impactful solutions across diverse industries like Utilities, Oil & Gas, and Manufacturing. This role is perfect for a technically adept professional skilled in Generative AI, data science, and cloud analytics, with a passion for client delivery.

We are seeking a driven individual to contribute to cutting-edge projects, leveraging advanced analytical techniques and cloud platforms to solve complex business challenges. Your expertise will be crucial in developing and deploying sophisticated AI-driven solutions.

Dive deep into data science and engineering, developing predictive models and optimization solutions using Python, SQL, and Pyspark. Build robust MLOps pipelines for efficient model training, monitoring, and scalability. Create compelling dashboards and reports in PowerBI/Tableau to visualize model impact and drive data-informed decisions.

Architect and implement end-to-end data science workflows on cloud platforms like AWS and Azure. Lead the development of Generative AI applications using frameworks such as LangChain and LlamaIndex, ensuring high performance and seamless integration.

A strong foundation in data science with 1-5 years of experience is required. You should possess proficiency in Python, SQL, and Pyspark, alongside hands-on experience with Generative AI applications and cloud platforms (Azure/AWS/GCP).

Essential skills include expertise in Gen AI/ML, SQL, Python, Azure/AWS, and ML Ops. Experience with data visualization tools like PowerBI/Tableau is also key. A Bachelor's or Master's degree in Computer Science, Statistics, or a related field is expected.