Data Scientist

August 29

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The UK's leading insurtech using proprietary tech and data insights to disrupt the insurance industry.

Home insurance • Contents insurance • Buildings insurance • Home emergency • Legal expenses

501 - 1000

Description

• As a Data Scientist you will be building predictive statistical models and machine learning models and pipelines to drive business growth. • You will work with ML Engineers to ensure those are deployed in production and delivering real value. • Activities will include: • Developing data science and ML solutions to drive growth, solve problems and increase automation across the business. • Work within a cross-functional team (engineers, designers, analysts, product manager) to deliver business goals. • Influence and input into priorities using data to quantify new opportunities. • Design and monitor A/B tests isolate the impact of initiatives. • Be a champion of data science and ML, communicating its value to colleagues across the business.

Requirements

• Experience building machine learning models and deploying them into production, working with ML Engineers. • Ability to apply knowledge in statistics and machine learning to real world problems. • A desire to interact with stakeholders and translating business problems into practical solutions. • Good team working and communication skills with ability to explain complex techniques to non-technical audience. • Demonstrate in-depth knowledge of data science tools and techniques, which you can use to solve problems creatively and to create opportunities for the business. • Good programming skills with Python and good working knowledge of SQL and experience querying large datasets. • Able to work with Data Engineers to identify the data engineering requirements for a data science product. • Understand the need to cleanse and prepare data before including it in data science products. • Understand software architecture and how to write efficient, optimised code. • Knowledge of the insurance industry would be an advantage but not essential. • Ideally you will have experience working with the AWS SageMaker, or similar services.

Benefits

• Learning budget of £1,000 a year for books, training courses and conferences. • Private medical cover with Vitality. • Dental Insurance. • Travel season ticket loan. • Social events throughout the year. • Access to selected London O2 events and use of a Private Lounge. • Employee Wellbeing Programme.