> Markdown version of [/jobs/ext/1948454-senior-data-scientist](https://www.wearedevelopers.com/jobs/ext/1948454-senior-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** LTM Inc - **Location:** Tampa, FL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Python (Programming Language), NumPy, Tensorflow, Pytorch, Large Language Models, Prompt Engineering, Generative AI, Pandas, Scikit Learn, Information Technology, Machine Learning Operations, GPT - **Published:** August 6, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/senior-data-scientist-tampa-fl-usa-58819177 ## About the Role lead workflow integration * Stay updated on GenAI advancements and contribute to AI initiatives * Communicate findings to technical and non-technical audiences Tasks * Bachelor in Computer Science or related field * Minimum 2 years of experience with Generative AI solutions * Proven experience deploying GenAI solutions in real-world settings * Strong Python skills with TensorFlow, PyTorch, scikit-learn, Pandas, NumPy * Deep understanding of RAG, LLMs, transformer models (e.g., BERT, GPT) * Experience with prompt engineering, finetuning, vector databases, and similarity search * Familiarity with LangChain, LlamaIndex or similar GenAI frameworks * MLOps principles for deploying and managing AI models * Excellent communication, collaboration, and problem-solving skills Key requirements * ## Description Experteer Overview As a Senior Data Scientist in GenAI for Finance, you will design and deploy cutting-edge AI solutions that enhance financial data interaction. You will lead RAG-driven enhancements, build LLM-based systems, and push end-to-end GenAI from data prep to deployment. You'll work with cross-functional teams to integrate AI into existing workflows and stay at the forefront of GenAI innovations. This role offers the opportunity to shape scalable AI solutions in a finance-focused environment and to impact real-world financial data tasks. Compensation / Benefits * Design and implement Generative AI solutions for finance projects * Lead integration of Retrieval Augmented Generation techniques * Develop and refine LLM-based solutions including prompt engineering and finetuning * Utilize table transformers and Python tools for financial data processing * End-to-end GenAI development: data prep, modeling, deployment, monitoring * Collaborate with cross-functional teams for seamless workflow integration * Stay updated on GenAI advancements and contribute to AI initiatives * Communicate findings to technical and non-technical audiences Tasks * Bachelor in Computer Science or related field * Minimum 2 years of experience with Generative AI solutions * Proven experience deploying GenAI solutions in real-world settings * Strong Python skills with TensorFlow, PyTorch, scikit-learn, Pandas, NumPy * Deep understanding of RAG, LLMs, transformer models (e.g., BERT, GPT) * Experience with prompt engineering, finetuning, vector databases, and similarity search * Familiarity with LangChain, LlamaIndex or similar GenAI frameworks * MLOps principles for deploying and managing AI models * Excellent communication, collaboration, and problem-solving skills Key requirements * ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Vectorize all the things! 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