Senior Data Scientist

Recruiter
HFG
Location
London
Salary
£45000 to £60000 per annum
Posted
12 Aug 2019
Closes
09 Sep 2019
Ref
SZE58L
Contact
Simona Zalyte
Contract Type
Permanent
Hours
Full Time
Senior Data Scientist

London

The UK's largest specialist motor insurer is looking for an experienced Data Scientist to provide technical and thought leadership in the use of data science, machine learning and other statistical techniques within pricing team.

The successful applicant will use advanced methodologies to support business functions by drawing insights from internal and external data sources on insurance products, customers and operational processes as well as helping shape the strategic direction of data usage within the business.

KEY RESPONSIBILITIES:  

- Ensure that the execution of the Pricing Delivery Plan is on time by delivering required activities within agreed timescales and to a high standard
- Take responsibility for the delivery of specific pieces of Data Science work, managing the overall process of delivery and taking responsibility for data, modelling and communication of analysis to stakeholders
- Design and develop sophisticated and innovative data products that will have beneficial impact to the business.
- Develop, operate, support and continually optimise a common data analytical platform that can support rapid discovery and deployment of data products and enables a community of any data scientists and actuaries to easily obtain insight
- Act as a mentor to more junior members of the Data Science team as well as the wider Pricing Team by providing best practice guidance and technical reviews
- Establish credibility and thought leadership in the area of data science and to engage with the business intelligence and MI teams to ensure best practice, influence and contribute to the development of strategic vision for data usage within the company.
- Carry out other reasonable tasks as required by line management

 
KEY DESIRABLE ATTRIBUTES:

- Exceptional statistical skills, experience of building predictive models using a wide variety of tools and techniques (e.g. linear or logistic regression, gradient boosted machines, random forest, regularisation, neural networks)
- Masters` Degree or Doctorate in computer science, engineering, physics, actuarial science, statistics or maths based equivalent
- Advanced data manipulation or experience of managing large-scale data sets within an analytical function (e.g. dplyr, pandas, SQL, etc.) 
- Advanced experience of commercial data science or analytics software (e.g. Python, R, SAS/WPS, MATLAB etc.). Advanced experience in another coding languages, such as C, C++, C#/.NET and/or Java would be considered
- Working knowledge of relevant development environments (e.g. PyCharm, RStudio, Visual Studio Code, eclipse) and shell scripting (e.g. Bash, PowerShell), version control (e.g. git, Subversion, Mercurial) etc
- Capability to reliably review work of others and advise on best practice to modellers and coders.
- Commercially aware with experience in applying data science methodologies to real-world problems within a commercial environment
- Non-life insurance domain knowledge is preferable but not essential

 

 

 

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