Hands-On Data Scientist - Analytics & AI
Summary
Data Scientist builds ML/NLP models and analytics for insurance clients, translating business needs into solutions while ensuring data governance and quality.
Step into a hands-on Data Scientist role focused on Analytics & AI within the insurance sector. Combine your data science skills and insurance know-how to deliver analytical solutions that drive business results.
In this mid-senior level position, you will engage with clients to translate business needs into actionable analytical strategies. Leveraging 4–7 years of experience, you will lead model development and ensure compliance with data governance standards. Strong technical skills are a must, but effective stakeholder engagement is equally essential.
Key Responsibilities:
• Work on analytics and transformation projects
• Utilize machine learning and NLP for business problems
• Drive insurance-focused analytical use cases
• Conduct requirements gathering for data projects
• Ensure data quality and security compliance
Requirements:
• 4–7 years in analytics with expertise in Python/R
• Knowledge of deep learning and statistical techniques
• Strong consulting background and presentation skills
• Experience with BI tools like Tableau or Power BI
• Bachelor's/Master's degree in relevant fields
Drive analytical excellence and client engagement as a Data Scientist in the insurance domain.