COMPANY OVERVIEW:

This is a leading operations management and analytics company that helps businesses enhance growth and profitability. The company integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance.

The Analytics Practice provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. The company takes an industry-specific approach to transform clients’ decision making and embed analytics more deeply into their business processes. The global footprint of nearly 10,000 data scientists and analysts serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.

POSITION OVERVIEW:

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.

The role involves working closely with clients on reporting, data engineering, transformation, and advanced analytics projects. While strong technical skills are important, we are looking for someone who can engage directly with clients, translate business needs into analytical solutions, and drive measurable impact.

RESPONSIBILITIES:

• Collaborate with EXL and client stakeholders to design and deliver data-driven solutions across reporting, analytics, and transformation initiatives.
• Apply traditional statistical methods, machine learning, deep learning, and NLP techniques to solve business problems.
• Support insurance-focused analytics use cases (with preference for P&C lines of business).
• Work in a consulting setup: conduct requirement gathering, structure problem statements, and communicate insights effectively to senior stakeholders.
• Ensure data quality, governance, and compliance with Data Privacy and Protection Guidelines.
• Independently research, analyze, and present findings, ensuring client-ready deliverables.
• Contribute to continuous improvement initiatives and support business development activities where required.

PREFERRED PROFILE:

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 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.
• 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.

LOCATION: Hybrid in Chicago

Job ID# 3447959

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