Lead Data Scientist: Pricing & Analytics Strategy

Hastings Direct; Leicester Forest East; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Car allowance

Flexible working

Annual bonus

Private medical insurance

Pension match

Job summary

Hastings Direct is seeking a Lead Data Scientist to shape and deliver advanced Data Science solutions across the business. You will lead a team of Data Scientists from exploration to deployment, working with stakeholders to apply modelling to pricing, telematics, claims and customer behaviour across the insurance lifecycle.

You will drive robust, scalable models, governance and monitoring while collaborating with Data Engineering and Technology to productionise data pipelines.

Qualifications

• Proven experience leading, mentoring and developing Data Scientists.
• Strong technical expertise across machine learning, statistical modelling and predictive analytics.
• Strong Python and SQL skills, with experience developing Data Science solutions in a commercial environment.
• Experience taking machine learning models through full lifecycle: development, deployment and monitoring.
• Experience with large, complex datasets and modern cloud/Data Science tech.

Responsibilities

• Lead, mentor and develop a high-performing team of Data Scientists, fostering innovation.
• Shape and deliver the Data Science strategy within your area and align with priorities.
• Lead development of advanced models to solve business problems.
• Own projects from concept through deployment and monitoring.
• Translate outputs into clear insights for technical and non-technical stakeholders.

Skills

Data science leadership

Machine learning

Python

SQL

Cloud platforms

Stakeholder management

Data storytelling

Tools

AWS

Azure

Databricks

Snowflake

Spark

Job description

Hastings Direct is seeking a Lead Data Scientist to shape and deliver advanced Data Science solutions across the business. You will lead a team of Data Scientists from exploration to deployment, working with stakeholders to apply modelling to pricing, telematics, claims and customer behaviour across the insurance lifecycle.

You will drive robust, scalable models, governance and monitoring while collaborating with Data Engineering and Technology to productionise data pipelines.