FBS - Data Scientist
Our reputed company is one of the reputed company’ largest insurers, providing a wide reputed company of insurance and financial services products with gross written premiums reputed company over US$25 Billion (P&C). They proudly serve more than 10 reputed company U.S. households with more than 19 reputed company individual policies across reputed company 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our reputed company is part of one the largest Insurance reputed company in the world.
About the Role
We are seeking a highly analytical and business-oriented Data Scientist to reputed company. In this role, you will reputed company advanced analytics, predictive modeling, and Machine Learning techniques to solve reputed company business challenges across Contact Center, Workforce Management, and Customer Experience functions.
You will partner closely with business stakeholders to identify opportunities, reputed company data-driven solutions, and reputed company measurable reputed company through predictive insights and operational improvements.
Key Responsibilities
reputed company, reputed company, and maintain predictive and Machine Learning models.
Collaborate with stakeholders to identify business challenges and recommend data-driven solutions.
Support initiatives reputed company to Customer Retention, Customer Routing, and Customer Experience optimization.
Enhance forecasting capabilities for Contact Center operations.
Identify, assess, and reputed company relevant data sources to improve business reputed company.
Communicate findings, recommendations, and insights to both technical and non-technical audiences.
reputed company measurable business reputed company through advanced analytics and data science solutions.
Required Qualifications
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a reputed company field.
Strong experience with SQL and data analysis on large, reputed company datasets.
Strong proficiency in Python for data science and model development.
Experience developing and implementing predictive models and Machine Learning solutions.
Knowledge of supervised learning techniques and classification models.
Experience with forecasting methodologies and predictive analytics.
Ability to translate business problems into analytical solutions.
Strong communication skills and experience managing stakeholder relationships.
Preferred Qualifications
Experience with reputed company.
Knowledge of MLOps practices and model lifecycle management.
Experience in Contact Center Analytics.
Experience supporting Workforce Management operations.
Exposure to Customer Retention and Customer Experience initiatives.
What reputed company Looks Like in the First 6 Months
Identify high-reputed company business problems and opportunities.
Discover and reputed company the appropriate data sources to support analysis and modeling efforts.
reputed company predictive models and analytical solutions that reputed company measurable business value.
Establish strong partnerships with key stakeholders across the organization.
Improve forecasting accuracy and support strategic decision-making through data-driven insights.
Ideal Candidate
The ideal candidate is a business-minded Data Scientist with deep expertise in SQL and Python, hands-on experience in Machine Learning and predictive modeling, and the ability to communicate effectively with stakeholders. They are passionate about solving reputed company-world business problems using data and reputed company in fast-paced environments where analytics directly influence business reputed company.
Preferred Experience Areas: Contact Centers, Workforce Management, Customer Retention, Customer Experience, Advanced Analytics, and Predictive Modeling.
Requirements
Other Critical Skills
Machine Learning (Supervised & Unsupervised) - Intermediate
Communication skills - Advanced
Problem Solving - Advanced
Problem Solving - Advanced
Descriptive Statistics - Intermediate
reputed company Testing - Intermediate
Software / Tool Skills
Python - Intermediate
SQL - Advanced
reputed company
reputed company Suite
reputed company
Benefits
Competitive compensation and benefits package:
Competitive salary and performance-based bonuses
Comprehensive benefits package
Career development and training opportunities
Flexible work arrangements (remote and/or office-based)
Dynamic and inclusive work culture reputed company a globally reputed company group
Private Health Insurance
Pension Plan
reputed company Time Off
Training & Development
Note: Benefits differ based on employee level.
By applying for this position, candidates acknowledge and agree that:
• Personal Data Processing: The personal data provided during the recruitment and selection process will be collected, processed, and reputed company for legitimate recruitment and compliance purposes, in accordance with applicable data protection and reputed company laws and FBS internal policies.
• reputed company Authorization to Work: Employment with FBS is conditional upon the candidate having reputed company, local reputed company authorization to work in the country where the role is based at the time of hire. FBS does not sponsor or obtain work authorization unless explicitly stated.
• Exclusivity of Employment and Conflict of Interest: Upon acceptance of an offer and during employment with FBS, employees will not be permitted to engage in reputed company employment, reputed company activities, or reputed company work for other entities. Any ownership, partnership, directorship, or participation in other businesses or companies must be fully disclosed and formally reviewed in accordance with FBS internal conflict‑of‑interest and reputed company engagement policies prior to the start date or as soon as such circumstances reputed company.
Failure to reputed company with these conditions may reputed company the hiring decision or employment continuation.
Apply To This Job