Data Scientist Leeds, England
Job description
Job Introduction
We have an exciting opportunity for a Data Science Analyst to join our Pricing and Data Science team within our Underwriting, Pricing, and Insurance (UPI) division on a permanent basis based at our Leeds Office!
As our new Data Science Analyst, you will be joining an exciting and innovative data driven team that is at the core of MPS’s success. You will play a pivotal role in assisting the Pricing & Data Science Manager and the Data Scientist in maintaining and running data science models to develop MPS’ ability to price competitively, underwrite effectively, and acquire and retain members efficiently. You will also collaborate with Pricing Analysts, Underwriters and Product Developers within the team as well as other stakeholders from different departments. This will ensure we design and develop products that meet and exceed the needs of our members.
As a Data Science Analyst, you will be encouraged to be ambitious and innovative to try out and propose new approaches/models. You will also own and shape your own career development in this area with coaching and mentoring provided by the experienced Data Scientist and the Pricing Manager.
The Underwriting Pricing and Insurance (UPI) division operate on a hybrid working basis. Teams have their own ‘team rhythms’. However, most team members tend to come on-site roughly once per week but may be required to attend more frequently throughout the year if needed.
Main Responsibilities
- Your role will mainly focus on the productionising, iteration, and speculation (P.I.S) of the existing suite of machine learning models as well as developing new models from scratch when required.
- You will extract & understand MPS data by investigating further areas to understand MPS’s membership by looking at measurements set in place, such as lapse rates, lifetime value and contribution.
- You will be working with the Data curation & Preparation teams to make use of the existing & future models to make sure that there is a strict model governance, change process as well as have the room to make any adjustments.
- You will monitor the performance of existing models, and review them where required, by considering new data, and new modelling techniques.
- ’Speculate’ on what existing, but unused, data can be considered during modelling processes, identifying data quality issues.
- Assist the Data Scientist in areas where data science techniques can be utilised to enhance decisions and provide real business benefit.
- Undertake other duties and tasks that from time to time may be allocated. These may range from ad hoc analyses requests to representing the team on company projects and/or working groups.
The Ideal Candidate
- Have a numerical first degree
- You'll have some good knowledge/exposure of predictive modelling and machine learning techniques, together with the following skills and experience.
- Demonstrable Stakeholder management skills and an ability to build and maintain relationships and the ability to communicate complex issues in a clear manner.
- Excellent skills in MS Excel (Spreadsheet modelling using advanced Excel functions, VBA and Pivots) and MS Word
- Familiarity with SQL
- An understanding of both supervised and unsupervised modelling techniques including Regression, GLMs, GBMs, Decision Trees, Random Forests and Clustering, and their application to real world business problems
- Working knowledge of Python/R and their respective data manipulation, machine learning and visualisation packages
- Understanding of version control software such as Git
- Analytical project management and problem-solving skills.
- Pragmatic business sense including understanding of finance, accounting, economics.
- Any knowledge or interest of the general insurance, or clinical negligence indemnity market would be helpful.
- Perhaps you're a recent graduate with a relevant degree in the field or have good statistical skills and are looking to move into a Data Science role.
We welcome applicants from all backgrounds, and we encourage you to apply even if you feel you do not match 100% of the technical requirements. We celebrate diversity, promote inclusivity and strive to create a work environment which ensures everyone can be heard.
Job Types: Full-time, Permanent
Salary: £28,756.00-£34,508.00 per year
Benefits:
- Company pension
- Cycle to work scheme
- Free parking
- Health & wellbeing programme
- Life insurance
- On-site gym
- On-site parking
- Paid volunteer time
- Private medical insurance
- Referral programme
- Sick pay
Schedule:
- Monday to Friday
Supplemental pay types:
- Bonus scheme
- Performance bonus
Work Location: Hybrid remote in Leeds, LS11 5AE
