Data Scientist

  • Newcastle upon Tyne, UK
  • Full-time
  • Verisk Business: Verisk Analytics
  • Department: Data Science
  • Is this an Analytics Req?: No

Company Description

At the heart of what we do is help clients manage risk. Verisk (Nasdaq: VRSK) provides data and insights to our customers in insurance, energy and the financial services markets so they can make faster and more informed decisions.   

Our global team uses AI, machine learning, automation, and other emerging technologies to collect and analyze billions of records. We provide advanced decision-support to prevent credit, lending, and cyber risks. In addition, we monitor and advise companies on complex global matters such as climate change, catastrophes, and geopolitical issues.  

But why we do our work is what sets us apart. It stems from a commitment to making the world better, safer and stronger.  

It’s the reason Verisk is part of the UN Global Compact sustainability initiative. It’s why we made a commitment to balancing 100 percent of our carbon emissions. It’s the aim of our “returnship” program for experienced professionals rejoining the workforce after time away. And, it’s what drives our annual Innovation Day, where we identify our next first-to-market innovations to solve our customers’ problems.   

At its core, Verisk uses data to minimize risk and maximize value. But far bigger, is why we do what we do. 

At Verisk you can build an exciting career with meaningful work; create positive and lasting impact on business; and find the support, coaching, and training you need to advance your career. We have received the Great Place to Work® Certification for the fifth consecutive year. We’ve been recognized by Forbes as a World’s Best Employer and a Best Employer for Women, testaments to our culture of engagement and the value we place on an inclusive and diverse workforce.  Verisk’s Statement on Racial Equity and Diversity supports our commitment to these values and affecting positive and lasting change in the communities where we live and work.  

Job Description

Verisk is looking for a Data Scientist to support high visibility, high priority, big data projects that have a significant revenue potential. 

They will focus on data cleaning, merging, and feature engineering to create model ready datasets as well as researching, training and making production ready predictive models.

You will play an integral role by transforming large highly complex data (of varying quality) into highly usable datasets and predictive models. 

As a Data Scientist, you will be tasked with synthesizing creative solutions to non-trivial problems such as creating complex matching algorithms to join disparate data sources, backfilling missing data, engineering high quality features, and identifying then resolving computational inefficiencies by utilizing current generation big data techniques.

This role will require the data scientist to work both alone and as part of a team to take disparate data and use unique and novel solutions to generate and create production ready predictive models to meet the business demands. 


  • Experiences with database technologies, specifically SQL Server
  • Maintain an up to date knowledge of current industry best practices and new technologies
  • Experience with technologies such as R, Python to pull and analyse data
  • Proven experience in applying machine learning techniques to provide actionable insights
  • Experience in using visualization tools such as R, Tableau and Spotfire
  • Logical, organized and analytical approach with an attention to detail
  • Have a sufficient understanding of information security and quality procedures to work to an acceptable level on a daily basis


Additional Information

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. 

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