Job Information
AON Data Scientist in Madrid, Spain
Who we are
At CoverWallet we are determined to revolutionize the insurance industry! We launched in 2015 and since then we are the leading digital platform for contracting insurance for small and medium-sized companies. Thanks to state-of-the-art technology and meticulous design we have turned insurance management and processing into a simple, fast and convenient process for our clients. All online, in minutes!
Our passion is in delivering innovation and value creation through technology, and our mission is to become the world’s leading InsurTech. For this, we have built an incredible team of 800 people based in New York, Spain, Poland and Singapore. Success is guaranteed as we are part of Aon, the global leaders in risk, retirement and health solutions with 50,000 colleagues worldwide. We combine the mindset and culture of a high-growth startup with the backing and support of a global multinational. The best of both worlds in one company - what more could we ask for?
What you will do
We are looking for highly motivated individuals to help design and develop new data initiatives in our incredible Data Science team, whose mission is to accelerate innovation and technology in machine learning, and to have firm-wide impact using data science to solve strategic problems. There is a rich problem space waiting for you across all areas of the business including product, sales, marketing, operations, product, etc. and the potential to have large scale impact.The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
A typical day
Develop predictive models, advanced analytics solutions and visualization tools for the end customer or internal teams. Some initial initiatives include: scoring models for sales and customer service, recommendation systems or automating repeatable tasks done by humans to free them up to work on the tasks that require their human intelligence.
Develop complex analysis for business collaborators. Understand the problem and the key metrics.
Own the feedback loop of testing and improving the created models.
Propose and measure A/B Test analysis related to product features. Understand the value proposition of each new feature.
Find data opportunities to improve the different stages of the customer journey. Understand business objectives and goals working together with other business departments.
Work closely with data engineering and infrastructure to build out end to end solutions.
Act as a technical representative with external collaborators on behalf of the team.
Address performance issues
Recommend and implement new technologies, processes, security adjustments and systems to increase efficiencies, productivity, customer engagement, and company revenue.
Specify, evaluate and approve design and implementation partnering with the team
Maintain an ongoing awareness of emerging developments and trends in technology that could impact or influence current and future product development
Understand business flows to apply criteria on how to solve issues with technology
Find data opportunities to improve the different stages of the customer journey.
Create and deliver detailed user documentation and presentations
Produce clean and efficient code based on specifications.
Address performance issues
Understand business flows and Company operations.
What you need to succeed
Communications skills for translating technical or statistical analysis results into business recommendations.
Extensive knowledge of visualization frameworks Plotly, Seaborn...
Extensive experience with Python.
Excellent English communication skills
Extensive knowledge of SQL.
Experience with data modeling and analysis.
Experience cloud infrastructure and deployment processes.
Experience with clean code principles
Good knowledge of Git
Familiarity with cloud environments (Google Cloud, AWS, ...)
Good to have: Knowledge of standard methodologies around service-oriented architectures or microservices.
Good to have: Experience building and measuring experiments, A/B Tests
Great teammate.
Usually BSc/BA in Computer Science, Mathematics, Statistics, Economics, Physics, Engineering or a related field.
#LI-ED1
2534842
Who we are
At CoverWallet we are determined to revolutionize the insurance industry! We launched in 2015 and since then we are the leading digital platform for contracting insurance for small and medium-sized companies. Thanks to state-of-the-art technology and meticulous design we have turned insurance management and processing into a simple, fast and convenient process for our clients. All online, in minutes!
Our passion is in delivering innovation and value creation through technology, and our mission is to become the world’s leading InsurTech. For this, we have built an incredible team of 800 people based in New York, Spain, Poland and Singapore. Success is guaranteed as we are part of Aon, the global leaders in risk, retirement and health solutions with 50,000 colleagues worldwide. We combine the mindset and culture of a high-growth startup with the backing and support of a global multinational. The best of both worlds in one company - what more could we ask for?
What you will do
We are looking for highly motivated individuals to help design and develop new data initiatives in our incredible Data Science team, whose mission is to accelerate innovation and technology in machine learning, and to have firm-wide impact using data science to solve strategic problems. There is a rich problem space waiting for you across all areas of the business including product, sales, marketing, operations, product, etc. and the potential to have large scale impact.The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
A typical day
Develop predictive models, advanced analytics solutions and visualization tools for the end customer or internal teams. Some initial initiatives include: scoring models for sales and customer service, recommendation systems or automating repeatable tasks done by humans to free them up to work on the tasks that require their human intelligence.
Develop complex analysis for business collaborators. Understand the problem and the key metrics.
Own the feedback loop of testing and improving the created models.
Propose and measure A/B Test analysis related to product features. Understand the value proposition of each new feature.
Find data opportunities to improve the different stages of the customer journey. Understand business objectives and goals working together with other business departments.
Work closely with data engineering and infrastructure to build out end to end solutions.
Act as a technical representative with external collaborators on behalf of the team.
Address performance issues
Recommend and implement new technologies, processes, security adjustments and systems to increase efficiencies, productivity, customer engagement, and company revenue.
Specify, evaluate and approve design and implementation partnering with the team
Maintain an ongoing awareness of emerging developments and trends in technology that could impact or influence current and future product development
Understand business flows to apply criteria on how to solve issues with technology
Find data opportunities to improve the different stages of the customer journey.
Create and deliver detailed user documentation and presentations
Produce clean and efficient code based on specifications.
Address performance issues
Understand business flows and Company operations.
What you need to succeed
Communications skills for translating technical or statistical analysis results into business recommendations.
Extensive knowledge of visualization frameworks Plotly, Seaborn...
Extensive experience with Python.
Excellent English communication skills
Extensive knowledge of SQL.
Experience with data modeling and analysis.
Experience cloud infrastructure and deployment processes.
Experience with clean code principles
Good knowledge of Git
Familiarity with cloud environments (Google Cloud, AWS, ...)
Good to have: Knowledge of standard methodologies around service-oriented architectures or microservices.
Good to have: Experience building and measuring experiments, A/B Tests
Great teammate.
Usually BSc/BA in Computer Science, Mathematics, Statistics, Economics, Physics, Engineering or a related field.
#LI-ED1