FBS - Data Scientist

Capgemini; Mexico; Hybrid; PHP 6,086,000 - 8,521,000; Full time

Benefits offered by this job

Private Health Insurance

Pension Plan

Paid Time Off

Training & Development

Flexible work arrangements

Job summary

Capgemini partners with a major US insurer to advance data-driven solutions across Contact Center, Workforce Management, and Customer Experience. A Data Scientist will leverage SQL, Python, and ML to build predictive models addressing real business challenges and deliver measurable impact.

You will collaborate with stakeholders to identify opportunities, develop data-driven solutions, and communicate insights to both technical and non-technical audiences, driving value across the organization.

Qualifications

• Bachelor's degree in a related field.
• Strong experience with SQL and data analysis on large datasets.
• Strong proficiency in Python for data science and model development.
• Experience developing and implementing predictive models and ML 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 stakeholder management.

Responsibilities

• Develop, deploy, and maintain predictive and ML models.
• Collaborate with stakeholders to identify business challenges and solutions.
• Support Customer Retention, Routing, and Customer Experience optimization.
• Enhance forecasting capabilities for Contact Center operations.
• Identify data sources to improve business outcomes.
• Communicate findings to technical and non-technical audiences.
• Drive measurable business impact through analytics solutions.

Skills

SQL

Python

Machine Learning

Communication skills

Problem Solving

Descriptive Statistics

Hypothesis Testing

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field

Tools

Databricks

Microsoft Suite

Github

Job description

Our Client is one of the United States' largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world.

About The Role

We are seeking a highly analytical and business-oriented Data Scientist to join our team. In this role, you will leverage advanced analytics, predictive modeling, and Machine Learning techniques to solve complex business challenges across Contact Center, Workforce Management, and Customer Experience functions.

You will partner closely with business stakeholders to identify opportunities, develop data-driven solutions, and deliver measurable impact through predictive insights and operational improvements.

Key Responsibilities

• Develop, deploy, and maintain predictive and Machine Learning models
• Collaborate with stakeholders to identify business challenges and recommend data-driven solutions
• Support initiatives related to Customer Retention, Customer Routing, and Customer Experience optimization
• Enhance forecasting capabilities for Contact Center operations
• Identify, assess, and leverage relevant data sources to improve business outcomes
• Communicate findings, recommendations, and insights to both technical and non-technical audiences
• Drive measurable business impact through advanced analytics and data science solutions

Required Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field
• Strong experience with SQL and data analysis on large, complex 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 Databricks
• 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 Success Looks Like In The First 6 Months

• Identify high-impact business problems and opportunities
• Discover and leverage the appropriate data sources to support analysis and modeling efforts
• Deliver predictive models and analytical solutions that generate 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 real-world business problems using data and thrive in fast‑paced environments where analytics directly influence business outcomes.

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
• Hypothesis Testing - Intermediate

Software / Tool Skills

• Python - Intermediate
• SQL - Advanced
• Databricks
• Microsoft Suite
• Github

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 within a globally renowned group
• Private Health Insurance
• Pension Plan
• Paid 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 retained for legitimate recruitment and compliance purposes, in accordance with applicable data protection and privacy laws and FBS internal policies
• Legal Authorization to Work: Employment with FBS is conditional upon the candidate having valid, local legal 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 parallel employment, professional activities, or paid 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 external engagement policies prior to the start date or as soon as such circumstances arise

Failure to comply with these conditions may impact the hiring decision or employment continuation.