Senior Data Scientist

About This Role

This Senior Data Scientist role involves applying a blend of insurance domain expertise, consulting principles, and strong data science skills, with a focus on delivering value through analytics, stakeholder engagement, and logical problem-solving.

Requirements

• 7-12 years of experience in analytics, reporting, dashboarding, ETL, Python/R, and associated data management
• Proficiency in machine learning, deep learning algorithms (e.g., neural networks)
• Text analytics techniques (NLTK, Gensim, LDA, word embeddings like Word2Vec, FastText, GloVe)
• Strong consulting background with structured problem-solving and stakeholder management skills
• Excellent communication and presentation skills with the ability to influence and engage senior business leaders
• Ability to independently manage client deliverables and operate in cross-cultural, global environments
• Strong familiarity with advanced analytics tools (Python, R), BI tools (Tableau, Power BI) and related software applications
• Good knowledge of SQL, Informatica, Hadoop/Spark, ETL tools
• Ability to translate business/functional requirements into technical specifications
• Bachelor’s/Master's degree in Economics, Mathematics, Computer Science/Engineering, Operations Research, or related analytical fields.
• Superior analytical, logical, and problem-solving skills
• Outstanding written and verbal communication abilities with a consultative orientation

Qualifications

• Bachelor’s/Master's degree in Economics, Mathematics, Computer Science/Engineering, Operations Research, or related analytical fields.
• 7–12 years of experience in analytics, reporting, dashboarding, ETL, Python/R, and associated data management.

Nice to Have

• Prior insurance industry experience (P&C preferred)
• Exposure to cloud data management and AWS services

Skills

* Required skills