Senior Data Scientist

We are currently recruiting for a Senior Data Scientist to join the Data Science team of a growing personal lines insurer offering a friendly environment, explorative work, and great learning and development opportunities.

The role sits within the central Data Science team at a successful and growing insurer (focused on personal lines Motor and Home), on a sub-team focused predominantly on pricing. This team have made great strides in modernising the predictive models used in all elements of pricing (risk and customer behaviour layers) towards a Machine Learning approach. It offers interesting, explorative work, R&D into model type, tuning/training models and comparison, feature analysis and data enrichment projects.

Salary is to circa £52k, and they work predominantly remotely, with around one day a month in-office (South East or North West), as well as a few team days at various points in the year.

Reporting to a friendly and approachable manager, with a highly collaborative team despite working remotely. They also have a great ethos towards personal development, with budget available for relevant external training and accreditation of your choosing (subject to approval), as well as giving half a day per week exclusively for personal development.

Responsibilities

• You’ll scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems

• You’ll perform data analysis and data collection processes that effectively support these services
• You’ll continuously develop data sources through testing of external data
• You’ll work individually and with team members, other teams and suppliers to deliver data science solutions. Review output of junior team members
• You’ll help to identify opportunities across the organisation where data science can add value
• You’ll adhere to good coding practices, work within existing risk controls, identify and report potential risks.
• You’ll comply with the requirements, and act in accordance with, the Group Code of Conduct and Fitness and Propriety policies at all times
• You’ll ensure compliance with Company Policies, Values and guidelines and other relevant standards/ regulations at all times.

Experience required

• Proven experience in data science and data analysis
• Good understanding of statistical and Machine Learning techniques and their application, including GLMs, decision trees, random forest, boosting, natural language processing, distributions, clustering, simulation and scenario analysis
• Knowledge of data platforms, and data processing including batch and real-time automation
• Knowledge of data structures and schemas, data preparation and cleansing
• Experience of Machine Learning techniques and libraries
• Good knowledge of data science toolkits and languages, such as Python
• Experience of data exploration and visualisation tools
• Knowledge of data query languages, such as SQL
• Knowledge of data integration services and ETL
• Analytical and problem-solving aptitude
• Understanding of a service-based approach to professional services.

As a trusted recruitment partner, we’re here to guide you—not just place you. If you’re ready for a genuine, supportive journey toward your next opportunity, apply now and let’s start something meaningful. Please note, we do not treat an application as permission for us to share your CV with our client. Once you have applied we will contact you and share more detail around the advertised role (including the company name/details), look to ascertain the suitability of the position, and gain your explicit permission for us to share your CV with them. If you would like to find out more before applying, please contact us – info@awrecruitment.co.uk

More insurance analytics career opportunities are available here, and you can find some resources to aid with CV Presentation and Interview Tips here.