At TWG Group Holdings, LLC (TWG Global), the business problem is to drive innovation and business transformation across various industries by leveraging data and AI as core assets, while ensuring responsible data and AI practices and regulatory compliance.
Requirements
- 10-12+ years of experience in data science or machine learning, with proven delivery of enterprise-impact projects.
- Strong expertise in advanced machine learning, causal inference, deep learning, and statistical modelling.
- Hands-on technical depth in Python (or R), cloud-based platforms, and modern ML frameworks.
- Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data-driven insights within enterprise-scale environments.
- Publications in top-tier AI/ML or data science conferences or journals (e.g., NeurIPS, ICML, KDD, AAAI, ACL, JASA).
- Recognized contributions to the open-source data science / ML ecosystem (e.g., libraries, frameworks, toolkits, widely adopted notebooks).
- Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics.
Responsibilities
- Lead execution of flagship AI/ML projects that drive measurable value in financial services and adjacent sectors.
- Act as senior technical authority on advanced AI methods (generative AI, causal inference, LLM-based analytics, RAG, simulation).
- Translate complex business challenges into enterprise-level data science solutions with tangible ROI.
- Mentor and guide a small team of data scientists, fostering technical excellence, rigor, and responsible AI adoption.
- Partner with business leaders, MDs, and executive committees to ensure AI initiatives align with firm-wide priorities.
- Represent TWG Global in external technical forums and partnerships with universities, regulators, and technology leaders.
- Define standards for experimentation, reproducibility, and governance of AI solutions.
Other
- PhD in Data Science, Statistics, Computer Science, or a related quantitative discipline.
- Experience mentoring or leading small, high-performing teams.
- Demonstrated success leading end-to-end projects and influencing senior stakeholders.
- Recognized as a technical thought leader through publications, external talks, or open-source contributions.
- This is a hybrid position ideally based out of our New York, NY office. Candidates based in Santa Monica, CA, will also be considered.
