Junior Data Scientist Team Lead

Kraków, Poland

Verisk

The leading strategic data analytics and technology partner to the global insurance industry.

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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 an exceptional Junior Data Scientist Team Lead to join our dynamic Cracow office. This hybrid role requires a unique blend of people management acumen and hands-on project involvement.

The ideal candidate will support our team and drive forward our projects, ensuring excellence at every step.

Team Lead responsibilities: 

  • Lead the planning and execution of projects, ensuring they meet deadlines and quality standards
     
  • Oversee the day-to-day operations of the data science team, including task allocation and performance monitoring
     
  • Ensure the adoption of best practices within the team, promoting a culture of continuous improvement and innovation
     
  • Facilitate team meetings and brainstorming sessions to foster a collaborative and productive work environment
     
  • Evaluate and integrate new tools and technologies to enhance the team's capabilities and efficiency
     
  • Act as a liaison between the data science team and other departments to ensure effective collaboration and communication
     
  • Provide guidance and mentorship to junior team members, ensuring their professional development and growth
     
  • Foster a positive and inclusive team culture, encouraging open communication and feedback.

Project scope of the position will include:    

  • Participate in the execution and development of analysis project plans for timely project completion under supervision

  • Utilize statistical and machine learning techniques to create high-performing models (GLM, statistical) that comply with regulatory and privacy requirements and address business objectives and client needs

  • Ensure statistical, computational, and algorithmic validity of results

  • Perform analyses of structured and unstructured data to solve multiple and complex business problems by utilizing statistical, mathematical, and machine-learning techniques

  • Work with other technical teams and business units for Research&Development, and delivery of solution

  • Provide required support for project delivery and implementation

  • Create clear and easy-to-understand documents for product support (technical)

  • Present analysis ideas, progress reports, and results to internal stakeholders & project managers

  • Collaborate with Lead or Principal Data Scientist to develop technical approaches and new or enhanced technical tools

  • Demonstrate an ability to keep up to date with emerging methods and environments.

Qualifications

  • Graduate-level degree with a concentration in a quantitative discipline such as statistics, mathematics economics, operations research, computer science, or an aligned discipline

  • Willingness to assume supervisory or team leadership roles within data teams, or previous experience in such capacities

  • Possesses a strong understanding of team management, encompassing both soft skills and operational competencies

  • Skilled with feature engineering, model selection, and assessment methodologies, and familiarity with all stages of the data science pipeline

  • Knowledge in & applied experience with statistical and machine learning

  • Practical experience using statistical and machine learning computer languages (e.g. R, Python & SQL)

  • English at least at B2 level (spoken and written)

  • Working familiarity with cloud computing environments (AWS preferred) 

  • Logical, evidence-based problem-solving and critical thinking skills

  • Willingness to work as a full-time employee in a hybrid model from the Cracow-based office.  

Moreover, we are welcome to people with: 

Insurance experience, focusing on personal lines, commercial lines, underwriting, or related business content would be a strong asset 

Practical experience in:

  • creating unit tests in Python
  • GitLab CI/CD pipelines
  • working with ETL pipelines

 

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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Big Data CI/CD Computer Science Data Analytics Data governance Economics Engineering ETL Feature engineering GitLab Machine Learning Mathematics Pipelines Privacy Python R Research SQL Statistics Unstructured data

Perks/benefits: Career development Insurance Startup environment Team events

Region: Europe
Country: Poland

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