Data Scientist
Role details
Job location
Tech stack
Job description
Data Scientist
£600pd -£700pd via Umbrella
Mostly Remote
Leading Financial Services business is looking to bring in an experienced Data Scientist to design, build, and deploy machine learning models with a strong focus on predictive and risk modelling. This role requires hands-on expertise in Python and proven experience delivering production-grade ML solutions in large-scale environments.
Role:
- Design, build, validate, and deploy machine learning models for predictive and risk modelling use cases.
- Develop and maintain scalable ML pipelines in Python.
- Implement robust feature engineering, model validation, and performance monitoring frameworks.
- Translate business requirements into advanced analytical solutions.
- Work with large, complex datasets in structured and unstructured formats.
- Collaborate with business stakeholders, actuarial teams, and engineering teams to operationalise models.
- Ensure models are production-ready and maintainable, including documentation and version control.
- Support model performance tracking and continuous improvement.
Required Skills & Experience
- Strong commercial experience building and deploying ML models in production environments.
- Advanced proficiency in Python (essential).
- Experience working in large financial services or regulated environments.
- Hands-on experience with predictive modelling techniques (eg, regression, classification, ensemble methods).
- Experience in risk modelling (eg, pricing, credit risk, claims modelling, underwriting, or similar)
- Experience working with large corporate or enterprise-scale datasets.
- Strong SQL and data manipulation skills.
- Ability to communicate complex analytical findings to non-technical stakeholders.
Desirable Experience
- Insurance experience (pricing, underwriting, claims modelling, risk segmentation).
- Exposure to Azure cloud services.
- Experience with Databricks.
Reasonable Adjustments:
Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.
If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Requirements
- Strong commercial experience building and deploying ML models in production environments.
- Advanced proficiency in Python (essential).
- Experience working in large financial services or regulated environments.
- Hands-on experience with predictive modelling techniques (eg, regression, classification, ensemble methods).
- Experience in risk modelling (eg, pricing, credit risk, claims modelling, underwriting, or similar)
- Experience working with large corporate or enterprise-scale datasets.
- Strong SQL and data manipulation skills.
- Ability to communicate complex analytical findings to non-technical stakeholders.
Desirable Experience
- Insurance experience (pricing, underwriting, claims modelling, risk segmentation).
- Exposure to Azure cloud services.
- Experience with Databricks.
Reasonable Adjustments
