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
