Deliver value through analytics, stakeholder engagement, and logical problem solving within the Insurance Analytics & AI team.
Requirements
- 7–12 years of experience in analytics, reporting, dashboarding, ETL, Python/R
- Proficiency in ML, DL algorithms, and NLP techniques (e.g., NLTK, Gensim, LDA, Word2Vec, FastText, GloVe)
- Experience with Python, R, SQL, Tableau, Power BI, Informatica, Hadoop/Spark
- Exposure to AWS and cloud data management (preferred)
Responsibilities
- Design and deliver data-driven solutions across reporting, analytics, and transformation initiatives
- Apply statistical methods, machine learning, deep learning, and NLP techniques to solve business problems
- Support insurance-focused analytics use cases (P&C preferred)
- Conduct requirement gathering and communicate insights to senior stakeholders
- Ensure data quality, governance, and compliance with data privacy guidelines
- Independently research, analyze, and present client-ready deliverables
- Contribute to continuous improvement and support business development activities
Other
- occasional client site visits
- 7–12 years
- Strong consulting background with stakeholder management skills
- Excellent communication and presentation abilities
- Prior insurance industry experience (P&C preferred)
