Senior Data Scientist - ML Engineer - Python - GenAI - Banking

Rothstein Recruitment

ML EngineerseniorLondon Area, United KingdomonsitecontractBanking, Financial Services, and Artificial IntelligencePythonSQLXGBoostPyTorchMLOpsGitRAGLLMsposted
Unlock apply linkApply links and the original listing are a Pro feature: £4.99/mo or £25 once.
Senior Data Scientist - ML Engineer - Python - GenAI - Banking Excellent opportunity opens to join an International Bank as their new Senior Data Scientist. You will play a leading role in the execution of the Bank's data science strategy, and work to roll out and deliver the bank-wide data and AI roadmap. Key Responsibilities * Developing, testing, deploying, and maintaining machine learning and statistical models in production environments. * Building scalable data science solutions using Python and SQL. * Applying software engineering best practices, including version control (Git), code reviews, testing, and documentation. * Using MLOps practices to support model deployment, monitoring, governance, and continuous improvement. * Working with large and complex datasets * Evaluating emerging technologies and analytical techniques to identify opportunities for innovation and business value. * Ensuring models and analytical solutions meet regulatory, governance, and risk management standards within a financial services environment. * Contribute to backlog refinement and sprint planning, stand-ups and retrospectives * Reinforce Agile ways of working, using pair programming, DORA insights and best practices to help to foster an environment of continuous improvement within the team Qualifications \& Experience * Strong practical knowledge of statistics, mathematics, and machine learning techniques, with experience developing, validating, deploying, and monitoring predictive and analytical models in production environments. * Advanced Python and SQL skills, with experience using tools such as Jupyter/JupyterHub to conduct data exploration, develop machine learning solutions, and support production workflows. * Hands-on experience applying machine learning techniques using frameworks such as XGBoost, PyTorch, or similar technologies to solve complex business problems and deliver measurable value. * Experience translating business requirements into actionable analytical solutions, working closely with stakeholders to identify opportunities, define approaches, and deliver data-driven outcomes. * Strong communication skills, with the ability to explain complex technical concepts and analytical findings to both technical and non-technical audiences. * Experience working with modern data platforms, software engineering best practices, and data science tooling to develop scalable and maintainable analytical solutions. * Experience with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), or other emerging AI technologies is advantageous. * Interested? Please Apply! Interested? Please Apply! GenAI Engineer Machine Learning Engineer AI Engineer Data Engineer Python SQL AL Lead Head of Data Science Machine Learning Lead LLM Large Language Models Agentic AI RAG Retrieval-Augmented Generation