Data Scientist- Team Lead - Analytics

at  Claims Solutions

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 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.
This is an exciting and varied role with great potential for career development. We are looking for a smart and highly motivated individual who will enjoy being creative with modern data science techniques. You will have great attention to detail, strong technical skills and a desire to learn about the insurance industry. Excellent communication skills and a strong belief in teamwork are essential.

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
  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.

• 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.