Team Lead - Data Science-Data Engineering

VERISK ANALYTICS sp. z o.o.O firmie

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Rekrutacja zdalna

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Rekrutacja zdalna
  • Rakowicka 7
    Kraków, małopolskie
  • Ogłoszenie wygasło 3 dni temu
  • Umowa o pracę
  • Pełny etat
  • Kierownik


Rakowicka 7


ISO, a Verisk business, has been a leading source of information about property/casualty insurance risk since 1971. For a broad spectrum of commercial and personal lines of insurance, ISO provides statistical, actuarial, underwriting, and claims information and analytics; compliance and fraud identification tools; policy language; information about specific locations; and technical services. ISO serves insurers, reinsurers, agents and brokers, insurance regulators, risk managers, and other participants in the property/casualty insurance marketplace. To learn more about ISO please visit us at: We are proud to be a part of the Verisk family of companies! 

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’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. 

Team Lead - Data Science-Data Engineering

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

As a Data Scientist - Engineer Team Lead, you will play an integral role by applying data cleaning, merging, and feature engineering techniques, to transform large, very complex data (of varying quality) into highly usable, model-ready datasets.   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, identifying computational inefficiencies, and resolving them with current-generation big data techniques.   

This role will support senior data scientists, who will use these modeling datasets to generate underwriting and rating products across personal, commercial, property, and auto insurance lines of business.  Most of your work will revolve around utilizing SQL (SparkSQL, PostgreSQL, and MS SQL) and packages such as Pandas/Dask, NumPy, Numba, and h2o.   


  • Supervise the execution of data analysis and modeling projects, including project/sample design, reception, and processing of data; performing analyses and modeling; creation of final reports/presentations, communication of results and sales support. 

  • Utilize advanced statistical techniques and state-of-the-art big data tools to create high-performing predictive models and creative analyses, that are in compliance with regulatory and privacy requirements, to address business objectives and client needs. 

  • Test new statistical analysis methods, software and data sources for continual improvement of quantitative solutions. Share knowledge within the analytics group. 

  • Create clear and easy to understand reports and/or PowerPoint decks for client meetings or third-party collaborations. Verbally present analyses, ideas, progress and results to internal managers, external partners and customers. 

  • Communicate with internal groups on data specifications and with IT engineers on model/algorithm implementation. 

  • Contribute to the creation of detailed project plans to ensure projects are completed on time and within budget. Provides high-quality ongoing customer/partner support; answering questions, resolving problems and building solutions. 

  • Exhibit creativity in an active problem-solving environment. 

  • Develop an understanding and knowledge of: 

    • The structure of insurance datasets 

    • The Property & Casualty insurance business, including coverages, components of rating variables, etc.  

    • Basic actuarial concepts

    • Verisk Analytics’ business practices, products, and data sources. 


  • 4-8 years experience, and Masters or PhD in the field of: Mathematics, Data Science, Statistics, Economics, Risk Management, Computation Biology, Operational Research or related discipline. 

  • At least 2 years of Project Leadership and at least 1 year of People Leadership. 

  • Substantial programming experience, including Python or R (at least 4 years), and SQL (at least 2 years). 

  • Distributed computing experience a plus. AWS experience additionally valuable. 

  • Fluency in English is required. 

  • Strong verbal and written communications skills, listening and teamwork skills, and effective summarization skills. 

  • Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills. Excellent organization/planning skills and talent for managing many large and complex datasets. 

  • Aptitude in performing multiple tasks and dealing with changing deadline requirements. This includes knowing when to escalate issues. Maintain a focused, flexible, organized, and proactive manner. 

  • Experience with Geographic Information Systems a plus. 

  • Ability to perform essential job duties with or without reasonable accommodation.  

Along with a competitive salary, we also offer

  • Life Assurance.
  • Healthcare.
  • Gym Card.
  • Flexible working & the ability to work from home.

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