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Mid/ Senior Data Scientist - Time Series Project

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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What You Should Know About Mid/ Senior Data Scientist - Time Series Project, Verisk

Join Verisk as a Mid/Senior Data Scientist in Kraków, Poland, and take the lead on innovative projects within the insurance market! At Verisk, we are committed to harnessing the power of data analytics to create a more resilient world. As a skilled Data Scientist, you'll dive deep into statistical methods and machine learning techniques to develop high-performing models that truly make a difference. Your responsibility will include participating in the planning and execution of project frameworks, analyzing both structured and unstructured data, and ensuring that your models meet regulatory standards. In this collaborative environment, you will work closely with other technical teams and business stakeholders, shaping practical solutions that solve complex business challenges. Plus, you get the chance to stay at the forefront of industry advancements by keeping up with emerging methods in data science. If you're passionate about empowering positive change through analytics and are excited to build a career with flexibility and growth in a company recognized for its outstanding workplace culture, Verisk is the right place for you!

Frequently Asked Questions (FAQs) for Mid/ Senior Data Scientist - Time Series Project Role at Verisk
What responsibilities does the Mid/Senior Data Scientist at Verisk in Kraków have?

As a Mid/Senior Data Scientist at Verisk in Kraków, your roles will encompass developing project plans, utilizing statistical and machine learning techniques to build models, analyzing complex data sets, and collaborating with both technical teams and business stakeholders to deliver solutions. You'll also be responsible for creating technical documentation and presenting your analytical findings to internal stakeholders.

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What qualifications are required for the Mid/Senior Data Scientist position at Verisk in Kraków?

To qualify for the Mid/Senior Data Scientist role at Verisk in Kraków, candidates need a graduate-level degree in a quantitative discipline such as statistics or computer science, along with 2+ years of experience in a data science environment. Proficiency in EDA, feature engineering, and the Python programming language is crucial, alongside a strong foundation in machine learning and statistical methods.

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How important is experience in the insurance market for the Mid/Senior Data Scientist position at Verisk?

While not strictly required, having experience in the insurance market can significantly enhance your application for the Mid/Senior Data Scientist position at Verisk. Candidates with knowledge in personal lines, underwriting, or related business areas will be preferred as you’ll deal directly with related challenges and clients in the insurance sector.

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What technologies will I use as a Mid/Senior Data Scientist at Verisk in Kraków?

In the Mid/Senior Data Scientist role at Verisk in Kraków, you will predominantly use Python for your data projects, and an understanding of cloud computing environments like AWS is preferred. You'll apply various statistical and machine learning techniques to solve complex business problems, so familiarity with these technologies is vital.

Join Rise to see the full answer
What is the work culture like at Verisk in Kraków for Data Scientists?

Verisk in Kraków boasts a collaborative and dynamic work culture, where innovation is encouraged, and employee input is valued. Recognized for its outstanding workplace culture, Verisk promotes inclusivity, learning, and results, ensuring all team members have the support and training they need to thrive.

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Common Interview Questions for Mid/ Senior Data Scientist - Time Series Project
Can you explain your experience with statistical and machine learning techniques relevant to the Mid/Senior Data Scientist position?

In this response, detail your experience with specific statistical models and machine learning algorithms that you've employed successfully in previous roles. Highlight instances when these techniques led to improved outcomes, and showcase your understanding of the entire data science lifecycle.

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How do you handle unstructured data as a Data Scientist?

When answering this question, explain your process for cleaning and preprocessing unstructured data, including the tools and techniques you prefer to use. Share examples of projects where you've transformed unstructured data into actionable insights.

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What are the key components of a successful data science project?

Articulate the essential steps of a data science project, including problem definition, data collection, cleansing, feature engineering, model building, and evaluation. Providing real examples from your experience can help illustrate your familiarity with these components.

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Describe how you ensure the validity of your results in statistical analysis.

Discuss the methodologies you employ for validating results, such as cross-validation techniques, the use of control groups, or statistical significance testing. Emphasize the importance of reliability and accuracy in your analyses.

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What role does collaboration play in your work as a Data Scientist?

Explain how you integrate feedback from colleagues, present your findings to stakeholders, and build solutions that meet business objectives through collaboration. Sample scenarios demonstrating successful teamwork can strengthen your response.

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What programming languages and tools are you most comfortable working with?

Name the programming languages and tools you've extensively used in data science projects, highlighting your proficiency in Python. If relevant, mention any experiences with cloud platforms, databases, or visualization tools that enhance your skillset.

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How do you stay updated with emerging trends in data science?

Talk about your commitment to continuous learning through online courses, industry conferences, or reading research papers and blogs. Demonstrating your proactive approach to self-development can impress the interviewers.

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What is your approach to feature engineering?

Discuss your strategies for identifying and creating relevant features from raw data, including any domain knowledge that informs your decisions. Illustrating your feature engineering process with examples will convey your expertise.

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Can you provide an example of a complex problem you solved using data analytics?

Share a detailed narrative of a challenging project where you successfully utilized data analytics to arrive at a solution. Highlight your problem-solving skills, the techniques you used, and the project's impact on the business.

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What are your thoughts on ethical considerations in data science?

Express your understanding of ethical practices regarding data privacy and fairness in algorithms. Emphasize the importance of maintaining integrity in your work and how you ensure compliance with relevant regulations while addressing business needs.

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Take Risks
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Passion for Exploration
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To be the leading strategic data, analytics and technology partner to the global insurance industry by delivering value to our clients through knowledge, expertise and scale.

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Full-time, hybrid
DATE POSTED
December 4, 2024

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