Sr Data Scientist
BH-12915
Posted: 20/02/2026
- $120,000-$177,000 per annum
- New York, United States
- Permanent
Senior Data Scientist / Applied AI Engineer
Hybrid (3 days onsite per week)
120-177K base salary + bonus
We’re partnering with a major enterprise organization undergoing significant investment in AI and data capabilities. This role sits within a central AI function focused on building production-grade machine learning and generative AI solutions that improve customer experience, operational efficiency, and decision intelligence across the business.
You’ll work on real, deployed AI systems - collaborating closely with product, engineering, and business stakeholders to design, build, and scale intelligent applications.
What You’ll Be Doing
What We’re Looking For
If you're interested, please apply now!
Hybrid (3 days onsite per week)
120-177K base salary + bonus
We’re partnering with a major enterprise organization undergoing significant investment in AI and data capabilities. This role sits within a central AI function focused on building production-grade machine learning and generative AI solutions that improve customer experience, operational efficiency, and decision intelligence across the business.
You’ll work on real, deployed AI systems - collaborating closely with product, engineering, and business stakeholders to design, build, and scale intelligent applications.
What You’ll Be Doing
- Deliver AI and machine learning solutions that solve real operational and customer-facing challenges
- Contribute across the full model lifecycle — from data exploration and feature engineering through to deployment, monitoring, and iteration
- Build and productionize ML and GenAI solutions using modern cloud and data platforms
- Design and evaluate intelligent automation solutions using LLMs, retrieval systems, and agent-style architectures
- Implement and optimize RAG pipelines, including embeddings, vector search, retrieval tuning, and prompt orchestration
- Expose AI capabilities through APIs, internal tools, and workflow applications used by business teams
- Build rapid prototypes and lightweight interfaces to support validation and adoption
- Follow best practices around model governance, testing, monitoring, and CI/CD in collaboration with platform and MLOps teams
What We’re Looking For
- Advanced degree in Computer Science, Engineering, Mathematics, Statistics, or similar quantitative field
- 7+ years applying data science, machine learning, or applied AI in production environments
- Strong Python and SQL skills
- Solid understanding of software engineering fundamentals (version control, testing, logging, deployment workflows)
- Experience working with modern cloud and data platforms (e.g. AWS-based ML tooling, enterprise data warehouses, distributed compute platforms)
- Practical exposure to LLMs, RAG architectures, or agent-based systems
- Strong grounding in core ML concepts including feature engineering, model evaluation, and classical ML approaches (e.g. tree-based models, supervised/unsupervised learning)
- Ability to communicate technical work clearly to non-technical stakeholders and influence decision making
If you're interested, please apply now!
Declan Foster
Managing Consultant