Senior Data Scientist

Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments

Develop and prototype ML models to solve complex business challenges using modern techniques and tooling

Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables

Guide and coach data science pods, supporting skill development and solution design

Act as a subject matter expert on ML architecture, model calibration and productionisation

Hands-on experience building and deploying data science solutions in Python and related ML libraries

Strong background in applied machine learning, model development and data engineering

Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift

Demonstrated ability to lead cross-functional teams and mentor junior practitioners

Ability to communicate complex technical concepts clearly to non-technical audiences

Participation in Kaggle or other data science competitions

Experience with MLOps practices (CI/CD, model monitoring, DevOps integration)

Familiarity with advanced NLP frameworks such as spaCy or Transformers

MSc or PhD in a numerate discipline

Financial services or banking experience