Senior Data Scientist

We are seeking a hands‑on Senior Data Scientist to join an Insurance Analytics & AI Vertical. The ideal candidate will bring a blend of insurance domain expertise (preferably P&C), consulting mindset, and strong data science skills. This is a mid‑senior level role focused on delivering value through analytics, stakeholder engagement, and logical problem solving, rather than people management.

Core Skills

• 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), and text analytics techniques (NLTK, Gensim, LDA, word embeddings like Word2
  
  Vec, Fast Text, Glo Ve).
• 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.
• Hands‑on role with ability to independently manage client deliverables and operate in cross‑cultural, global environments.

Data Management Skills

• 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.
• Exposure to cloud data management and AWS services (preferred).

Candidate Profile

• Bachelor’s/Master's degree in Economics, Mathematics, Computer Science/Engineering, Operations Research, or related analytical fields.
• Prior insurance industry experience (P&C preferred) strongly desired.
• Superior analytical, logical, and problem‑solving skills.
• Outstanding written and verbal communication abilities with a consultative orientation.
• Flexible to work in a fast‑paced, evolving environment with occasional visits to the client’s Chicago office.