Senior Data Scientist

Employment Type - Full Time - Permanent

Salary - Up to £70,000 with great benefits

Hours Per Week - 37.5

Somerset Bridge Limited are seeking a Senior Data Scientist to join our Data Science team. This role is open to candidates with 5+ years’ experience. We use machine learning across the group to generate insights from motor insurance data at any stage in the customer journey, including with actuarial and pricing departments. A successful candidate will have extensive experience of statistical machine learning applied using open-source programming such as Python or R, be an excellent communicator, and have a desire to work with new software and technology.

Responsibilities

• Using Python and/or R programming to deliver data science solutions from start to finish, applying machine learning to business problems.
• Becoming a technical expert in various areas within the Data Science team.
• Supporting the process of developing alternative machine learning solutions.
• Working across the organisation with a range of stakeholders to maximise the benefit of data science throughout the business.
• Taking ownership of projects running across teams (technical and non-technical) ensuring delivery.
• Assisting the development of junior colleagues through coaching and feedback.
• Advancing the Data Science team through data, technology, and approaches.

Desirable skills/experience (not all required):

Statistical modelling experience is essential.

• Programming experience in Python or R essential.
• Extensive hands-on experience with linear (regression) and non-linear machine learning models (and in particular GBMs and other decision tree-based methods) is essential.
• Experience with large (1m+ rows, 1k+ columns) data sets is essential.
• An additional benefit would be some skills within any of the following software – SQL, SAS, other open source.
• A solid grounding in technical aspects of data science from first principles.
• A desire to code but also develop new software solutions in a changing environment.
• A genuine interest in application of machine learning and statistical problems and their application to insurance business problems.
• A proven track record of delivering data science solutions with measurable business value.
• Working with and communicating with all key stakeholders.
• Manging projects alone and in teams.
• Working with and developing junior colleagues.
• Knowledge of insurance markets.

Benefits

• Hybrid working - 2 days working in the office and 3 days from home
• 25 days annual leave, rising to 27 days over 2 years service and 30 days after 5 years service. Not including bank holidays
• Flexitime
• Life Assurance - 4 times your salary
• 100s of exclusive retail discounts
• Professional wellbeing and fitness app - Wrkit
• Car insurance discount
• Travel insurance discount
• Pension scheme
• Enhanced parental leave, including time off for IVF appointments
• Cycle to work scheme
• Employee referral scheme
• Eye care vouchers
• Summer and Christmas party