Job Title:

Senior Data Scientist

Location:

Chicago, IL (Hybrid – occasional client site visits)

Experience Required:

7–12 years

Compensation:

$140K–$160K USD

Job Type:

Full-Time

Position Overview:

We are seeking a hands-on Senior Data Scientist to join our Insurance Analytics & AI team. The ideal candidate will bring a blend of insurance domain expertise (preferably P&C), a 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.

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

Qualifications:

Bachelor’s/Master's degree in Economics, Mathematics, Computer Science/Engineering, Operations Research, or related fields

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)

Strong consulting background with stakeholder management skills

Excellent communication and presentation abilities

Experience with Python, R, SQL, Tableau, Power BI, Informatica, Hadoop/Spark

Exposure to AWS and cloud data management (preferred)

Prior insurance industry experience (P&C preferred)

Flexible work from home options available.