Lead Data Scientist

One of the world’s largest Insurance Service provider is looking for a bilingual Lead Data Scientist for its Data Management Team. This position reports to the Head of Data Analytics team.
The Lead Data Scientist will drive innovative approaches to understanding, interacting, and optimizing customer engagement by leveraging advanced analytics to derive actionable business insights.

Responsibilities:
- Collaborate with business stakeholders to gather requirements, understand business context, and derive data-driven solutions
- Develop, deploy, and manage machine learning models and analytics projects, ensuring alignment with business objectives
- Utilize CI/CD, MLOps, Azure or similar cloud platforms, and DevOps to streamline development and deployment processes
- Apply hands-on expertise with Python, Pandas, AzureML, and PowerBI to develop and implement data models and analytics
- Ensure the responsible use of AI practices, adhering to ethical guidelines and compliance standards
- Employ best practices and methodologies from other markets to improve analytics and data solutions
- Proactively propose new solutions and enhancements based on emerging technologies and business needs
- Communicate effectively with team members and leadership through presentations and reports detailing analytics and machine learning requirements, progress, and outcomes

Why should you apply:
- Opportunity to work with global teams and great Work-Life-Balance 
- Great team dynamics and learning opportunity  
- Opportunities to work with World’s leading insurance company (fortune 500 company)


Company Details:
A US based world’s leading insurance providers, offering a broad range of life, health, and retirement solutions to individuals, families, and businesses. The company is heavily invested in digital transformation, utilizing advanced technologies like cloud computing, data analytics, AI, and cybersecurity to enhance customer experience and streamline operations. As part of its values, it has a strong focus on creating a diverse environment, and in particular on the appointment of women in high-level position.

- 5+ years of experience in advanced analytics roles, delivering successful business outcomes
- Proven leadership experience in managing data science or analytics teams
- Proficiency in quantitative methods and business analytics with strong problem-solving skills
- Expertise in building and applying data models using machine learning techniques such as classification, regression, clustering, time-series analysis, and dimensionality reduction
- Competent programming skills with Python
- Strong understanding of data visualization tools, particularly PowerBI or similar platform
- Experience with CI/CD, MLOps, and cloud platforms such as Azure for deploying analytics and ML solutions
- Hands-on experience with data analytics tools and libraries such as Pandas and AzureML
- Experience with Generative AI (GenAI) to stay ahead of industry trends and enhance analytics capabilities