Data Scientist — ML Models in Production & MLOps

Handelsbanken; Greater London; Ibrido; GBP 65.000 - 95.000; Tempo pieno

Descrizione del lavoro

Handelsbanken is seeking a Data Scientist in London to develop and deploy data science and ML solutions that drive strategic decisions. You will work across the full lifecycle, from problem definition to deployment and monitoring, collaborating with stakeholders to translate business needs into analytical outcomes.

The role offers opportunities to experiment with emerging tools and methods in a collaborative, innovative environment, with flexible working arrangements to support performance.

Competenze

• Strong practical knowledge of statistics, mathematics, and machine learning techniques.
• Experience developing, validating, deploying, and monitoring predictive/analytical models in production.

Mansioni

• Develop, test, deploy, and maintain ML and statistical models in production environments.
• Build scalable data science solutions using Python and SQL.
• Apply software engineering best practices: version control, code reviews, testing, and documentation.
• Use MLOps practices to support deployment, monitoring, governance, and continuous improvement.
• Work with large and complex datasets.
• Evaluate emerging technologies to identify opportunities for innovation and business value.
• Ensure models meet regulatory, governance, and risk management standards within financial services.
• Contribute to backlog refinement and agile ceremonies.
• Foster continuous improvement with pair programming and DORA insights.

Conoscenze

Statistics

Mathematics

Machine learning

Python

SQL

MLOps

LLMs

Strumenti

Jupyter/JupyterHub

XGBoost

PyTorch

Descrizione del lavoro

Handelsbanken is seeking a Data Scientist in London to develop and deploy data science and ML solutions that drive strategic decisions. You will work across the full lifecycle, from problem definition to deployment and monitoring, collaborating with stakeholders to translate business needs into analytical outcomes.

The role offers opportunities to experiment with emerging tools and methods in a collaborative, innovative environment, with flexible working arrangements to support performance.