Data Scientist

 

Business Description

Verisk Analytics is a multinational data and analytics risk assessment company and a leading source of information about insurance risk. To serve our clients, we draw upon our vast experience in data management and predictive modelling to offer decision analytics to the insurance industry through underwriting to claims management in personal lines, commercial lines, and the London market.

In underwriting we create sophisticated risk models to assist insurers with risk selection and accurate pricing. Our range of models is broad spanning residential and commercial property perils, motor insurance, SME business covers, travel, pet and health insurance. To feed our risk models we source many diverse datasets covering high resolution weather data, property attributes, business activities and financial data, insurance claims and policies, medical information, aerial imagery and geodemographic data. 

In claims solutions we support end-to-end claims handling with analytics and automation tools that streamline workflow, improve claims management and support better customer experiences. We also provide a fraud detection service across multiple perils and lines of business. Using intel processing, real-time fraud analysis and image forensics we help detect fraud at every stage of the claim and manage cases more effectively.

Role Purpose 

Verisk are looking for a Data Scientist to support the development of various data science models to support the development of our risk management products. The International Analytics Team is a dynamic and exciting place to work: our projects are extremely varied and include developing supervised machine learning models, unsupervised  clustering type models, language modelling, network analysis and a variety of other statistical analysis methods. 

The successful candidate(s) will be at an early stage in their career. You will have the opportunity to play a key role in evaluating our datasets, providing analytical insights and in the evolution of models from inception to production. 

This is an exciting and varied role with great potential for career development. We are looking for smart and highly motivated individuals who will enjoy being creative with modern data science techniques. You will have great attention to detail, strong technical skills and a desire to learn about the insurance industry. Excellent communication skills and a strong belief in teamwork are essential. 

 

Skills & Experience 

Masters/PhD in maths, science or analytics related disciplineSolid programming experience ideally with Python and SQLExperience with data manipulation and validation as well as modelling or statistical techniquesExcellent written and verbal communication skillsDetail-oriented technical aptitude with strong logical, problem solving and decision-making skills.

 

#LI-Hybrid

Role Responsibilities 

Support the Analytics Team build out new analytics products for claims and underwritingSupport a high-performance collaborative culture.  Participate in peer-review with colleagues where appropriate to learn, teach, and ultimately, produce high quality results.Execute data analysis and exploratory analysis (project design, processing of and cleaning of data, merging/joining disparate data sources, feature engineering, performing analyses and communicating results). Produce models using a variety of algorithms (GLM, GBM, Random Forest, Neural Networks etc.) and assess the relative strength of each modelIdentify which factors are relevant and predictive and should be included in the model buildDocument processes, code, implement version control, and create functions/template code so that your successes can be applied to new data with minimal effortCreate clear and easy to understand reports. Verbally present analysis ideas, progress and results to colleagues.