Team Lead – Analytics

Job title:

Team Lead – Analytics

Company:

Claims Solutions

Job description

Company DescriptionWe 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 DescriptionVerisk is looking for an experienced Data Scientist to support the development of various analytics models and supervise several junior data scientists. The successful candidate will have experience in data science with coding experience in Python and the ability to develop models using GLMs and machine learning. You will have the skills to manage a small group of data scientists and contribute to the development of new and existing products.This is an exciting and varied role with great potential for career development. We are looking for a motivated and dynamic individual who will enjoy following the process of product development from concept development to execution to customer delivery. Excellent communication skills and commercial awareness are essential. You will have an entrepreneurial mindset, strong technical skills, the ability to operate independently in a matrixed organization, work with staff in multiple geographic locations, and own/drive projects to their successful completion.Role Responsibilities

• Support the Analytics Team build out new analytics products for claims and underwriting
• Execute data analysis and exploratory analysis (project design, processing of and cleaning of data, merging/joining disparate data sources, feature engineering, performing analyses and communicating results).
• Produce models using a variety of algorithms (GLM, GBM, Random Forest, Neural Networks etc.) and assess the relative strength of each model
• Identify which factors are relevant and predictive and should be included in the model build
• Document processes, code, implement version control, and create functions/template code so that your successes can be applied to new data with minimal effort
• Create clear and easy to understand reports. Verbally present analysis ideas, progress and results to colleagues.
• Support a high-performance collaborative culture. Participate in peer-review with colleagues where appropriate to learn, teach, and ultimately, produce high quality results.

Qualifications

• Masters/PhD in maths, science or analytics related discipline
• Solid programming experience ideally with Python and SQL
• Experience with data manipulation and validation as well as modelling or statistical techniques
• Excellent written and verbal communication skills
• Detail-oriented technical aptitude with strong logical, problem solving and decision-making skills.
• Fluency in English
• Eligible to work in the European Union

#LI-AA1#LI-HybridAdditional InformationFor 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— provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision— supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences— 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— provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.— 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— delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement– 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.— provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become strongerVerisk 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. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.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.

Expected salary

Location

Kraków, małopolskie

Job date

Sat, 08 Jun 2024 22:48:37 GMT

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