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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Applied Data Scientist - **Company:** Mergent, Inc. - **Location:** United States (Remote available) - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Continuous Integration, DevOps, Python (Programming Language), Object-Oriented Software Development, Tensorflow, Software Engineering, TypeScript, Pytorch, Large Language Models, Model Validation, Scikit Learn, Information Technology, Machine Learning Operations, Software Version Control - **Published:** August 15, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pbytnpr0qw ## About the Role Are you a hands-on data scientist with deep expertise in NLP and LLMs, strong Python coding skills, and a track record of deploying models to production? Do you thrive in building real-world AI solutions that are used by actual customers? If so, we'd love to talk to you!, * Extensive hands-on experience applying NLP and LLMs to real-world problems, with a consistent track record of shipping models to production and supporting them post-deployment. * Strong Python programming skills, including object-oriented design and proficiency with key ML libraries (e.g., PyTorch, TensorFlow, Scikit-Learn). * Solid understanding of probability and statistical modeling to support robust model development and interpretation. * Experience with cloud platforms (especially Azure and/or AWS) and modern deployment practices for scalable AI delivery. * Proven ability to set and uphold coding and model evaluation standards for production environments. * Excellent communication skills to articulate technical decisions and trade-offs to both technical and non-technical audiences. Desirable Skills * Familiarity with DevOps practices including CI/CD, version control, automated testing, and monitoring to support reliable model deployment and maintenance. * Experience with TypeScript, particularly for building or contributing to production services and APIs alongside ML systems. EDUCATION Bachelor's degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or a related field, or equivalent practical experience. ## Description ROLE SUMMARY: As a Principal Data Scientist (individual contributor), you will play a hands-on role in designing, building, and deploying scalable AI solutions that go beyond prototypes and are actively used in production. You'll work closely with collaborative teams to co-develop innovative products for financial markets and professionals. We're looking for someone who combines deep technical expertise in NLP and LLMs, strong Python engineering skills, and real-world experience shipping and supporting models in production. You should be comfortable owning delivery timelines and ensuring that solutions meet business needs and production-grade standards. WHAT YOU'LL BE DOING: This is a hands-on technical leadership role in a high-impact environment focused on delivering production-ready AI systems. You will be part of the LSEG Workspace team - LSEG's flagship platform that delivers personalised insights, news, and cutting-edge analytics to financial professionals worldwide. Your work will directly shape the AI capabilities embedded in a product that professionals rely on every day to make critical decisions. * Lead the end-to-end development of AI solutions: design, build, test, and deploy models that are robust, scalable, and used by real users. * Apply NLP and LLM techniques to solve real-world problems, ensuring models are optimized for performance and reliability. * Continuously improve model quality through tuning, evaluation, and feedback from production usage. * Evaluate third-party AI solutions with a critical eye on performance, scalability, and integration into production environments. * Write and maintain production-grade Python code, adhering to best practices in software engineering and model development. * Collaborate with engineering and business partners to define requirements, shape roadmaps, and ensure successful delivery of AI products., * High-impact projects: Work on innovative AI products that solve complex, high-value challenges using rich datasets. * Competitive benefits: Strong compensation, comprehensive benefits, and investment in your career growth. * Industry leadership: Be a founding member of a team delivering novel products that democratize modeling and analytics. * Collaborative environment: Join a team of experienced engineers in a culture of continuous learning and development. ## Related Videos - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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