Data Science Innovator

2 days ago


Atlanta, Georgia, United States BCG X Full time
Job Overview

Become part of a pioneering team at BCG X, where you'll spearhead the development and deployment of cutting-edge Generative AI solutions in the insurance sector.

About the Role

We're seeking an exceptional Lead Applied Data Scientist to join our innovative team. As a key player, you'll drive the end-to-end creation and implementation of data-driven solutions, ensuring they meet ethical and regulatory standards.

Your primary responsibilities will include:

  • Designing, developing, and deploying data science and GenAI/ML models from conceptualization to operational rollout.
  • Collaborating with cross-functional teams—product managers, business leaders, engineers, and others—to craft impactful data-driven solutions.
  • Fostering a collaborative environment where knowledge-sharing and creativity thrive among the data science community.
  • Utilizing Retrieval-Augmented Generation (RAG) and Prompt Engineering techniques to enhance Large Language Model (LLM) performance on specific tasks.
  • Developing evaluation frameworks to measure LLM efficacy, ground truth dataset quality, and guide product development roadmaps.
  • Driving continuous improvement of AI capabilities by staying abreast of emerging technologies and identifying opportunities for enhancement.
  • Providing day-to-day direction for multiple components of Data Science activities.
Requirements

To succeed in this role, you'll need:

  • Significant experience as an applied data scientist and/or data engineer.
  • Recent hands-on experience with Retrieval-Augmented Generation (RAG), prompting, and model fine-tuning.
  • A strong understanding across the full ML-Ops lifecycle.
  • Ideal experience in financial services or insurance.
  • Deep expertise in data science techniques such as deep learning, machine learning, statistical modeling, and NLP.
Desired Skills

We're looking for professionals with:

  • Strong data engineering skills in Python and PySpark.
  • Proficiency with one or more modern AI/ML platforms (e.g., Palantir Foundry, AWS SageMaker, Azure ML, or Snowflake).
  • Experience using key Python packages for data wrangling, machine learning, and deep learning.
  • Experience with GitHub code versioning.
What We Offer

BECOME A KEY PLAYER IN THE DEVELOPMENT OF GENERATIVE AI SOLUTIONS IN THE INSURANCE INDUSTRY WITH OUR TOP-NOTCH TEAM AT BCG X. $150,000 - $180,000 per year, depending on experience.



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