Remote Senior Data Scientist — Insurance ML & MLOps

Capgemini; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Private Health Insurance

Pension Plan

Bonuses

Grocery Vouchers

Paid Time Off

Training & Development

Job summary

Capgemini is seeking a Senior Data Scientist to join the Insurance ML & MLOps team in a remote capacity. You will build predictive models and analytics solutions that drive customer retention and agent efficiency, communicating clearly with business stakeholders.

The role demands strong Python, SQL, ML, and MLOps skills, plus experience with Databricks and production deployment. A UK/US-ready candidate will thrive with Capgemini's global reach.

Qualifications

• Bachelor’s degree in a quantitative field is required.
• 3+ years in Data Science, analytics, or ML.
• Experience with Python, SQL, GitHub, and Databricks.
• Knowledge of ML, statistics, and translating analytics to business value.

Responsibilities

• Develop and deploy predictive models for insurance-related initiatives.
• Apply ML, statistics, and data mining to solve business problems.
• Partner with stakeholders to translate objectives into analytics.
• Design scalable, production-ready analytical solutions and mentor juniors.

Skills

Python

Advanced SQL

MLOps

Communication to stakeholders

Statistical Analysis

Education

Bachelor's degree in Data Science / Statistics / CS

Master's degree (preferred)

Tools

Databricks

GitHub

Office Suite

Job description

Capgemini is seeking a Senior Data Scientist to join the Insurance ML & MLOps team in a remote capacity. You will build predictive models and analytics solutions that drive customer retention and agent efficiency, communicating clearly with business stakeholders.

The role demands strong Python, SQL, ML, and MLOps skills, plus experience with Databricks and production deployment. A UK/US-ready candidate will thrive with Capgemini's global reach.