Graduate Pricing Data Scientist Peterborough, England
Job description
We’re looking for a Graduate Data Scientist to join our Pricing/Data department! Data and sophisticated pricing techniques take centre stage in delivering our market-leading pricing. This is an excellent opportunity for numerically minded graduates with good communication skills to join our department. The department builds and deploys machine learning and artificial intelligence solutions within Pricing department and business areas.
You will be given on-the-job training to develop a deep knowledge of modern data science techniques and insurance pricing. After an initial fully supported training period, you will have a chance to use cutting-edge techniques to solve real-life problems. You will use these skills to help solve pricing and other departments some of the most critical data and pricing challenges.
Areas of responsibilities
- Development, evaluation, and implementation of advanced statistical and machine learning models
- Building pricing models using machine learning and statistical techniques
- Creation of meaningful datasets for modelling and evaluation from a vast quantity of data in multiple formats
- Collaborate with business stakeholders to solve key issues using a range of machine learning and statistical techniques
- Be up to date with trends in data science, learning and sharing new skills and methods
- Understanding business needs and adapting accordingly
Skills and experience
- Highly numerate with a solid degree (2 or above) in Mathematics, Data science, Statistics, Economics, or related subject.
- An interest in using data to understand the world around you, and the ability to communicate that understanding to a non-technical audience
- Good working knowledge of general computing package such as MS Excel, Word and PowerPoint.
- Exceptional numerical ability and a desire to solve problems using innovative and creative techniques
Desirable skills and experience
- Experience using supervised machine learning techniques (such as generalised linear models, random forests, or gradient boosted ensembles) is highly preferred
- Experience using standard data science tools such as R, Python, or SQL is preferred
- Exposure to commercial activities
Personal attributes
- Communication and presentation skills with ability to convey technical matters coherently across business
- You must have a deep interest in machine learning or statistics and be ready to grow your skills as the field progresses
- Ability to work in co-operative fashion
- Self-motivated
- Good eye for detail
- Flair for manipulating and interpreting data
- Forward thinking and innovative
- High standard of work ethics
- Desire to understand the dynamics of the business
- Desire for continued professional development
Our benefits
- Monday to Thursday, 34-hour week (paid for 37.5 hours)
- Discount portal, save whilst you shop
- Employee Assistance Program
- X4 life assurance
- Salary sacrifice scheme for pension
- Earn more as you progress through our employee development programme
- Volunteering days
Job Types: Full-time, Permanent
Benefits:
- Casual dress
- Company events
- Company pension
- Life insurance
- On-site parking
- Store discount
- Wellness programme
- Work from home
Schedule:
- Monday to Friday
Work Location: Hybrid remote in Peterborough
