Data Scientist - LLM

Experience professional growth in a collaborative culture that thrives on innovation and impact. Join a cutting-edge data science organization that values creativity, experimentation, and technical mastery—where your work drives business transformation and advances next-generation AI solutions. Primary Services is excited to announce the role of Data Scientist – LLM for a global enterprise client in the energy sector. As part of a newly formed Data Science and Machine Learning Capability Center, this role offers the opportunity to design, deploy, and scale advanced AI solutions in a production environment. The Data Scientist will collaborate with top-tier engineers, data scientists, and research partners to transform proof-of-concept models into robust, real-world data products that drive business outcomes. Responsibilities: • Develop, test, and deploy data science and machine learning solutions on enterprise-scale platforms. • Build full-stack data science applications and tools using deep learning and large language models. • Collaborate with cross-functional teams to transform prototypes into production-ready digital products. • Partner with research and engineering groups to operationalize data-driven solutions that support key business initiatives. • Conduct exploratory data analysis and statistical modeling to uncover insights and optimize performance. • Ensure code quality and maintainability through regular audits, reviews, and adherence to digital quality standards. • Evaluate new data science methods, frameworks, and tools to enhance capability and performance continuously. • Contribute to knowledge-sharing and best practices within the organization’s Center of Excellence and Community of Practice. Qualifications: • Master’s or Ph.D. in a STEM discipline (Computer Science, Mathematics, Physics, Engineering, or related field preferred). • Proven expertise in Deep Learning, Reinforcement Learning, and multimodal Large Language Models. • Proficiency in Python with hands-on experience using PyTorch or TensorFlow. • Strong understanding of machine learning and statistical modeling at a production scale. • Experience developing and deploying AI solutions in cloud environments (AWS, Azure, or GCP). • Working knowledge of DevOps, Agile methodologies, and MLOps frameworks. • Familiarity with data strategy, governance, and information management concepts is a plus. • Strong analytical and problem-solving skills with the ability to manage complex projects and multiple priorities. This position offers the chance to grow in a forward-looking organization at the forefront of AI innovation. It’s a role for those who combine technical excellence with curiosity and a drive to deliver data science solutions that make a measurable impact.