Requirements: English
Company: CoverWallet, an Aon company
Region: Madrid , Community of Madrid
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 worlds 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 a highly motivated and skilled Data Scientist to join our dynamic Data Science team. Our mission is to drive innovation and leverage machine learning and data-driven solutions to solve strategic business challenges. You will work across various domains, including product, sales, marketing, and operations, impacting business outcomes at scale. The ideal candidate thrives in a fast-paced environment, enjoys solving complex problems, and is passionate about learning and leveraging data science to create real-world impact.
A typical day
- Develop predictive models, advanced analytics solutions, and visualization tools for internal teams and end customers. Initial projects may include: scoring models for sales and customer service, recommendation systems, automation of repetitive tasks to improve efficiency.
- Conduct complex analyses for business stakeholders, translating insights into actionable recommendations.
- Own the feedback loop for testing and improving machine learning models.
- Design, propose, and measure A/B tests for product features, ensuring alignment with business goals.
- Identify data-driven opportunities to enhance different stages of the customer journey.
- Collaborate with data engineering and infrastructure teams to develop scalable, end-to-end solutions.
- Serve as a technical representative when engaging with external stakeholders.
- Recommend and implement new technologies, processes, and systems to optimize efficiencies and business performance.
- Maintain awareness of emerging trends in data science, machine learning, and technology.
- Write clean, efficient, and well-documented code.
- Produce detailed technical documentation and presentations for both technical and non-technical audiences.
What you need to succeed
- BSc/BA in Computer Science, Mathematics, Statistics, Economics, Physics, Engineering, or a related field.
- Around 4 - 5 years of experience as a Data Scientist
- Strong communication skills to translate technical analysis into business insights.
- Extensive experience with Python and data visualization frameworks (e.g., Plotly, Seaborn, Matplotlib).
- Proficiency in SQL for data extraction and manipulation.
- Experience with data modeling and statistical analysis.
- Familiarity with cloud environments (Google Cloud, AWS, etc.).
- Experience with cloud infrastructure and deployment processes.
- Solid understanding of clean code principles and version control (Git).
- Knowledge of Docker and containerization technologies.
- Ability to work collaboratively in a cross-functional team environment.
- Nice to have: Experience in designing and measuring A/B tests.
- Nice to have: Knowledge of Large Language Models (LLMs) and their applications.
- Nice to have: Knowledge of best practices around service-oriented architectures or microservices.
About the recruitment process
- Your first contact with CoverWallet will be through an HR interview with one of our colleagues from the Talent Acquisition area, who will tell you everything about our company and its history, as well as the details of the position, functions and your future conditions. We would love to know your professional and academic career, and of course, your motivations and expectations for a new professional project. We will be happy to answer all your questions!
- Do we have a match? Lets move on to your First Technical Interview! You will meet two of the colleagues from the Data Science team, who will explain to you in more detail what the team''s day-to-day life is and its responsibilities. They will be very interested in expanding infor