Data Scientist

We are a leading consulting firm that excels in automating business processes through advanced artificial intelligence solutions. We empower IT specialists to elevate their careers within a thriving B2B environment. Our diverse portfolio includes impactful projects across fintech, medtech, edutech, and industrial automation sectors. Through our strong collaboration with clients, we drive their growth by delivering swift and measurable results while equipping IT professionals with unparalleled opportunities for career advancement and valuable experience.

Why is it worth working with us?

✨ Flexibility - You choose projects tailored to your skills and interests, with the possibility of changing within our company or the Euvic group, of which we are a part.

💡 Transparency - You have clear rules of cooperation and full transparency of remuneration and conditions.

🚀 Speed ​​of action - Thanks to our efficiency, you will quickly find or change a project that perfectly suits your competencies.

🌟 Development opportunity - You work on innovative projects, developing key competencies and gaining valuable experience.

With us, you are sure of cooperation at the highest level and the opportunity to develop ambitious projects tailored to your competencies.

Detailed job description: In this role, you will create a predictive pricing model based on a dataset of life insurance products. You will work closely with product and data teams to ensure that pricing models are accurate, efficient, and able to handle the complexities of non-linear pricing changes. Your work will help automate and streamline pricing estimates for various insurance products, making them accessible via an API. 

Tech Stack: 

• Python 
• SQL 
• Google Big Query and AWS. 
• Proficient in data science techniques and predictive modeling. 

Key Responsibilities: 

• Data Analysis & Modeling: 
• Analyze a diverse dataset of life insurance products to understand the functional behavior of each product and the key factors influencing price. 
• Identify and evaluate how different assumptions (e.g., risk factors, applicant demographics) impact pricing for various life insurance products. 
• Develop a predictive pricing model capable of handling non-linear price changes for different insurance products. 
• Ensure that the model accounts for all relevant attributes and product features, producing accurate and consistent pricing results. 

• Collaboration & Cross-Functional Work: 
• Collaborate with the product team to understand the business requirements and ensure that the pricing model aligns with product goals. 
• Work with data teams to refine the granularity of the underlying dataset, ensuring that it is comprehensive enough to generate accurate pricing predictions. 
• Provide feedback to the product team on dataset needs and assumptions required for better model accuracy. 

• Model Deployment & API Integration: 
• Develop and help support deploying the predictive pricing model as an API that can provide real-time pricing estimates for different life insurance products based on a set of defined inputs. 
• Support data engineering in ensuring that the API is robust, scalable, and easily accessible by the product team and other stakeholders. 
• Utilize AWS infrastructure to deploy and manage the API, ensuring reliable performance and data security. 

• Model Maintenance & Data Refresh Strategy: 
• Work with relevant stakeholders to inform how we should monitor the accuracy of the model.