Lead Data Scientist — Azure Lakehouse ML Leader (Hybrid)

Bibby Financial Services; Greater London, Banbury; Hybride; GBP 75 000 - 80 000; Plein temps

Avantages offerts par ce poste

25 days holiday

Hybrid working

Private healthcare

Company pension

Flexible benefits

Wellbeing centre access

Discounts with retailers

Résumé du poste

Bibby Financial Services in London is seeking a Lead Data Scientist to establish and grow our Data Science capability, delivering predictive models and analytics that influence strategic and operational decision-making. This is the first dedicated Data Science role in the organisation, with travel to Banbury as required.

The role leads machine learning and statistical modelling to solve business challenges, while defining tools, standards and best practices to build a scalable Data Science

Qualifications

• Extensive experience in data science and ML with business impact.
• Proven track record deploying predictive models.
• Strong Python and SQL for model development.
• Experience with cloud platforms and MLOps.

Responsabilités

• Design, develop and deploy predictive and statistical models to support strategic and operational decision‑making.
• Deliver Data Science solutions across customer attrition, credit risk and pricing optimisation.
• Apply ML, statistics and analytics to solve business challenges and generate value.
• Evaluate and improve model performance through testing and monitoring.
• Ensure models are scalable and suitable for operational use.
• Translate business problems into analytical approaches and Data Science solutions.

Connaissances

Data Science

Machine Learning

Python

SQL

Stakeholder management

MLOps

Azure Databricks

Model deployment

Communication skills

Outils

Azure Databricks

Description du poste

Bibby Financial Services in London is seeking a Lead Data Scientist to establish and grow our Data Science capability, delivering predictive models and analytics that influence strategic and operational decision-making. This is the first dedicated Data Science role in the organisation, with travel to Banbury as required.

The role leads machine learning and statistical modelling to solve business challenges, while defining tools, standards and best practices to build a scalable Data Science