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NEXTMOVEFDE careers · United States
SWBC

Senior Data Scientist

AI summary of the role

This is a technical leadership role responsible for setting the strategic direction of data science projects, mentoring the team, and ensuring scalable, reliable models tied to business outcomes.

No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.

What you’ll do

  • Act as technical lead for high-impact data science projects from ideation through production deployment.
  • Design and implement ML/AI solutions including predictive models, forecasting, segmentation, and NLP.
  • Lead development and enhancement of Clara, SWBC's AI decision assistant, including context engineering and model evaluation.
  • Develop and deploy AI/ML solutions within SWBC Intelligence platform using AWS Bedrock and SageMaker.

What you’ll bring

  • Master's or Ph.D. in quantitative field (or 8+ years equivalent experience).
  • Minimum 5 years progressive data science experience with deployed models driving business value.
  • Extensive experience with deep learning, NLP, time series forecasting, or computer vision.
  • Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).

Technologies

AWS Bedrock · AWS SageMaker · Hex · Omni · MLflow · Snowflake · TensorFlow · PyTorch · scikit-learn · Python

Source and classification

Internal deployment & tooling · Evidence for this classification:

SWBC is seeking a talented individual who will lead the development of our most critical and complex machine learning and AI initiatives. This role is a technical leadership position responsible for setting the strategic direction for data science projects, mentoring the Data Science team, and ensuring our models are scalable, reliable, and directly tied to business outcomes. The Senior Data Scientist will serve as a subject matter expert and strategic partner to business and executive leadership, driving the development and deployment of intelligent solutions across SWBC's enterprise AI/ML platform. Why you'll love this role: In this role, you will lead the design and delivery of intelligent solutions that power Clara, SWBC's AI decision assistant, and drive enterprise-wide analytics through forecasting models, segmentation analysis, and context engineering for AI self-service. Your
More from the job description

SWBC is seeking a talented individual who will lead the development of our most critical and complex machine learning and AI initiatives. This role is a technical leadership position responsible for setting the strategic direction for data science projects, mentoring the Data Science team, and ensuring our models are scalable, reliable, and directly tied to business outcomes. The Senior Data Scientist will serve as a subject matter expert and strategic partner to business and executive leadership, driving the development and deployment of intelligent solutions across SWBC's enterprise AI/ML platform. Why you'll love this role: In this role, you will lead the design and delivery of intelligent solutions that power Clara, SWBC's AI decision assistant, and drive enterprise-wide analytics through forecasting models, segmentation analysis, and context engineering for AI self-service. Your daily work will center on developing and deploying within SWBC Intelligence, our multi-model AI orchestration platform spanning AWS Bedrock, AWS Sagemaker, alongside Hex for experimentation and Omni for AI context development powering Clara and SWBC Insights. Essential duties include the following: Act as the technical lead for high-impact data science projects, from ideation through production deployment, ensuring alignment with business objectives and compliance standards. Design and impleme [... source excerpt omitted ...] ment. Develop and deploy AI/ML solutions within SWBC Intelligence, the enterprise multi-model AI orchestration platform, leveraging AWS Bedrock and AWS Sagemaker for internal and client-facing use cases. Build and maintain AI/ML experiment workflows using Hex for prototyping and exploration, and AWS SageMaker and MLflow for experiment tracking, model versioning, and lifecycle management within the platform. Contribute to the platform's Evaluation Harness process, including golden dataset curation, rubric-based scoring, adversarial testing, and model performance benchmarking to ensure solution quality before production deployment. Conduct AI experimentation and prototyping w [... source excerpt omitted ...] rness metrics, and model auditability in alignment with SWBC's governance framework. Lead model validation, A/B testing, and performance monitoring to ensure models meet business requirements and maintain production-grade reliability. Partner with IT platform engineering teams to provide feedback on platform capabilities, identify gaps, and advocate for enhancements that improve the Data Science team's development and deployment experience. Mentor, coach, and provide technical guidance to the Data Science team, fostering a culture of continuous learning, empirical rigor, and innovation. Publish technical documentation and best practices to advance the team's capabilities and cont

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