FBS Associate Data Scientist

Capgemini; United States; On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Private Health Insurance

Pension Plan

Paid Time Off

Training & Development

Job summary

Capgemini is seeking a data scientist to join a team serving one of the United States' largest insurers. You will apply analytics and modeling techniques to improve business results, leveraging consumer data and behavioral insights to influence strategic decisions.

The role emphasizes basic data science concepts, ETL, and development of models with MLOps deployment, while learning business operations with guidance from senior roles. Master’s preferred; 1 year experience; SQL skills are required.

Qualifications

• Minimum 1 year of data science experience.
• Data analytics or similar internship preferred.
• Modeling experience using Python and Python libraries
• Experience with SQL

Responsibilities

• Utilizes basic analytics and modeling to improve business results.
• Performs routine assignments and uses data to influence decisions with ML techniques.
• Learns business operations and best practices in data science with guidance.
• Executes on low-complexity challenges and supports project timelines.
• Communicates complex material to non-technical colleagues and supports ML deployments via MLOps.

Skills

Data science

Analytical thinking

Communication

Education

Master's degree in Data Science or related field

Bachelor's degree with internship/project/experience

Tools

Python

SQL

ETL

Job description

OurClientis one of the United States' largest insurers,providinga 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 andnearly18,500employees. Finally, ourClientis part of one the largest Insurance Groups in the world.

Job Summary

• Utilizes basic knowledge to apply analytics and modeling techniques to improve business results.
• Performs routine assignments and leverages customer information and behavioral data to influence strategic business decisions while using analytics, multi-variate models, machine learning and data mining technologies.
• The role actively learns about business operations and best practices in data science with guidance from more senior roles.

Essential Job Functions

• Utilizes conceptual knowledge of consumer analytics including retention models, agency economics, and lead optimization in their daily work.
• Utilizes basic knowledge of programing, ETL and modeling methods to execute projects and assists the team through examples of good technical skills.
• Executes on low- complexity business challenges involving data science.
• Succeeds in projects by utilizing a data science vision for project success, and accomplishes successfully within prescribed timelines.
• Executes on routine projects with a sense of urgency. Contributes to development of presentations.
• Occasionally communicates complex technical material understandable to non-technical associates. Executes basic to intermediate model deployments via established MLOps techniques. Works with analytics and IT teams to deploy models/rules.

Education Requirements

• Master's degree highly preferred in Data Science, Statistics, Mathematics, Business Analytics, Computer Science, or a related field.
• Bachelor's degree may be considered with relevant internship, project, research, or professional experience demonstrating strong data science and analytics capabilities.

Experience Requirements

• Minimum 1 year of data science experience.
• Data analytics or similar internship preferred.
• Modeling experience using Python and Python libraries
• Experience with SQL

Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package: Grocery vouchers, saving funds, SGMM, etc.
3. Career development and training opportunities
4. Dynamic and inclusive work culture within a globally renowned group
5. Private Health Insurance
6. Pension Plan
7. Paid Time Off
8. Training & Development

Note: Benefits differ based on employee level.

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.