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# Senior Data Scientist - Ref No HQ1601

- **Company:** UNITED BANKERS' BANK
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Python (Programming Language), Machine Learning, Natural Language Processing, Software Engineering, TypeScript, Unstructured Data, Cloud Platform System, Data Ingestion, LangChain, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Deep Learning, Kaggle, Generative AI, Agentic-AI, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, AutoGen, PydanticAI Framework, Machine Learning Operations, Claude, Google Gemini, Semantic Kernel, GPT, Docker
- **Published:** November 5, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pwof260jx9

## About the Role

* You hold a Master's degree or Ph.D. in Computer Science, Data Science, Artificial Intelligence or a related field.

 * You have 5+ years of hands-on experience developing advanced Machine Learning, NLP and AI solutions using large volumes of structured and unstructured data.

 * You possess strong expertise in Generative AI, Transformer-based architectures and Large Language Models such as GPT, Claude, Gemini or similar technologies.

 * You have proven experience designing AI/ML solution architectures and working with cloud environments such as AWS, Azure or GCP.

 * You have at least 3 years of software engineering experience with Python and/or TypeScript.

 * You have practical experience building and deploying LLM-powered or agentic AI solutions in production or near-production environments.

 * You are familiar with modern AI frameworks and technologies such as LangChain, LangGraph, PydanticAI, AutoGen, Semantic Kernel, vector databases and RAG architectures.

 * You have experience with containerization and infrastructure technologies such as Docker, Kubernetes and Infrastructure-as-Code tools.

 * Experience in banking, financial services or insurance will be considered an advantage.

 * Contributions to open-source projects, academic research initiatives or Kaggle competitions will be considered a strong advantage.

 * You are fluent in English and have excellent communication, presentation and stakeholder management skills.

## Description

As part of Team Blue you will have the opportunity to grow your potential, because we believe you CAN. Join us and let's be First together!

Your role will be:

 * Design, develop and deploy advanced Machine Learning, Generative AI, NLP and Large Language Model (LLM) solutions that address complex business challenges and create measurable value.

 * Build and optimize end-to-end AI/ML pipelines, including data ingestion, preprocessing, retrieval, Retrieval-Augmented Generation (RAG), model training, fine-tuning and prompt engineering.

 * Drive the architecture and implementation of scalable AI solutions while ensuring alignment with both technical requirements and business objectives.

 * Collaborate closely with business stakeholders, Product Teams, MLOps specialists, Machine Learning Engineers and Software Engineers to successfully integrate models into production environments.

 * Monitor, evaluate and continuously improve the performance, reliability and business impact of existing analytical and predictive models.

 * Maintain comprehensive documentation and contribute to the establishment of best practices, innovation and knowledge sharing within the Data Science community.

 * Collaborate with international Data Science teams across the KBC Group and contribute to strategic AI initiatives and cutting-edge research projects.