Data Scientist - Insurance Brokerage

ShareForce; Basingstoke; Hybrid; GBP 60,000 - 70,000; Full time

Benefits offered by this job

Performance-related bonus

Hybrid working from the Basingstoke  

Pension and wider benefits package

25 days' annual leave

Job summary

ShareForce is seeking a hands-on Data Scientist to join its growing data science capability and work on a portfolio of predictive models. You will develop, validate, monitor and improve production models using Python, SQL and cloud tools in Azure and Databricks.

This role offers hybrid work from the Basingstoke office with 60,000–70,000 base salary, a performance bonus and a supportive team environment that values practical experimentation and governance.

Qualifications

• 3 years strong practical experience in data science, machine learning, predictive modelling or a related discipline.
• Strong Python and SQL skills, with experience working with complex datasets.
• Practical experience across the model lifecycle, from data preparation and development through to deployment and production monitoring.
• Experience developing, evaluating and improving predictive or machine-learning models.
• Experience with modern cloud-based data environments; Databricks and Microsoft Azure experience would be particularly valuable.
• Understanding of model validation, explainability, monitoring, documentation and governance.
• Experience working with production models and connecting model performance to business outcomes.
• Experience in financial services, insurance or another regulated environment would be advantageous.
• Strong analytical and problem-solving skills, with the ability to turn business questions into effective analytical approaches.
• Ability to communicate technical findings clearly to both technical and non-technical audiences.
• A collaborative, practical approach and a strong desire to remain hands-on with data, code and modelling.

Responsibilities

• Develop, maintain and improve predictive and machine-learning models across the full model lifecycle.
• Work hands-on with Python, SQL and large datasets to investigate problems, test hypotheses and develop analytical solutions.
• Monitor production models, investigate changes in performance and identify opportunities for improvement.
• Undertake exploratory analysis, feature engineering, model development, testing and validation.
• Evaluate new modelling techniques, AI applications and external data sources through practical experimentation.
• Support the deployment and ongoing management of models within Azure and Databricks.
• Contribute to effective model documentation, monitoring, explainability and governance.
• Support the transfer of technical knowledge and model ownership from external specialists into the internal team.
• Collaborate with data, technology and business teams to ensure models operate effectively in production.
• Translate modelling and analytical findings into clear, practical recommendations for stakeholders.

Skills

Python

SQL

Data science

Machine learning

Model lifecycle

Azure

Databricks

Communication

Tools

Databricks

Azure

Job description

The Opportunity

ShareForce is seeking a hands-on Data Scientist to join its growing internal data science capability and work on a portfolio of established predictive models. Working closely with the Data Science Lead, you will play an important role in developing, validating, monitoring and improving production models. You will work directly with data, Python, SQL and modelling tools, using analysis and experimentation to improve model performance and deliver measurable business value. Operating within a Microsoft Azure and Databricks environment, this is an opportunity to work across the full model lifecycle while contributing to the development of robust model-management and governance practices.

Key Responsibilities

• Develop, maintain and improve predictive and machine-learning models across the full model lifecycle.


• Work hands-on with Python, SQL and large datasets to investigate problems, test hypotheses and develop analytical solutions.


• Monitor production models, investigate changes in performance and identify opportunities for improvement.


• Undertake exploratory analysis, feature engineering, model development, testing and validation.


• Evaluate new modelling techniques, AI applications and external data sources through practical experimentation.


• Support the deployment and ongoing management of models within Azure and Databricks.


• Contribute to effective model documentation, monitoring, explainability and governance.


• Support the transfer of technical knowledge and model ownership from external specialists into the internal team.


• Collaborate with data, technology and business teams to ensure models operate effectively in production.


• Translate modelling and analytical findings into clear, practical recommendations for stakeholders.

Skills and Experience

• 3 years strong practical experience in data science, machine learning, predictive modelling or a related discipline.


• Strong Python and SQL skills, with experience working with complex datasets.


• Practical experience across the model lifecycle, from data preparation and development through to deployment and production monitoring.


• Experience developing, evaluating and improving predictive or machine-learning models.


• Experience with modern cloud-based data environments; Databricks and Microsoft Azure experience would be particularly valuable.


• Understanding of model validation, explainability, monitoring, documentation and governance.


• Experience working with production models and connecting model performance to business outcomes.


• Experience in financial services, insurance or another regulated environment would be advantageous.


• Strong analytical and problem-solving skills, with the ability to turn business questions into effective analytical approaches.


• Ability to communicate technical findings clearly to both technical and non-technical audiences.


• A collaborative, practical approach and a strong desire to remain hands-on with data, code and modelling.

Package and Working Arrangements

• £60,000-£70,000 base salary.


• Performance-related bonus.


• Hybrid working from the Basingstoke office, with an expectation of 2-3 days onsite each week.


• 25 days' annual leave plus bank holidays.


• Pension and wider benefits package.

ShareForce is committed to creating an inclusive recruitment process. Applications are welcomed from candidates of all backgrounds who can demonstrate the experience and potential required for the role.