Rothstein Recruitment
Senior Data Scientist - ML Engineer - Python - GenAI - Banking
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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 foster an environment of continuous improvement within the team.
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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.
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