Experienced Data Scientist

Company Description

We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable.

Job Description

Verisk is seeking a highly skilled and experienced Data Scientist to join our Cracow team and spearhead our projects for the US-based insurance market.

As an experienced Data Scientist, you will have an opportunity to:

• Participate in the development and execution of project plans for timely project completion.  May contribute to setting up project framework and project goal setting.
   
• Utilize statistical and machine learning techniques to develop high-performing models (GLM, statistical, time series and other) that adhere to regulatory and privacy standards while addressing complex business objectives and client needs.
   
• Ensure statistical, computational, and algorithmic validity of results.
   
• Perform analyses of structured and unstructured data to solve complex business problems, utilizing advanced statistical, mathematical and machine learning techniques.
   
• Cooperate with other technical teams and business stakeholders to deliver practical solution(s) that meet business objectives.
   
• Provide required support for project delivery and implementation.
   
• Create clear and comprehensive technical documentation to support product development, and maintenance.
   
• Present analytical ideas, report progress and results to internal stakeholders and project managers.
   
• Collaborate with other data scientists to devise innovative technical approaches and enhance existing technical tools.
   
• Stay abreast of emerging methods to ensure the application of cutting-edge techniques.

Additional Responsibilities

• Completes all responsibilities as outlined on annual Performance Plan.
• Completes all special projects and other duties as assigned.

Qualifications

Requirements:

• Graduate-level degree with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or aligned discipline.  
   
• 2+ years of experience in the Data Science area in a business environment.
   
• Skilled with EDA, feature engineering, model selection and assessment methodologies, as well as familiar with all stages of the data science project lifecycle.
   
• Extensive knowledge in and applied experience with statistical and machine learning methods.
   
• Experience in using Python programming language in data-related projects. 
• Experience with cloud computing environments - AWS preferred.
   
• Highly developed logical, evidence-based problem solving and critical thinking skills.

Nice to have:

• Practical experience and knowledge about time series analysis and modeling (for one of the projects within project portfolio supported by the team).
• Insurance experience, focusing on the personal lines, commercial lines, underwriting or related business content.

Additional Information

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. 

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland.  We value learning, caring and results and make inclusivity and diversity a top priority.  In addition to our Great Place to Work® Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.

We’re 7,000 people strong.  We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

Verisk Businesses

Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision

Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences

Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient

Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.

Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance

Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement

Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.

Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger

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.

http://www.verisk.com/careers.html

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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