Senior Associate, AI Data Scientist

At TWG Group Holdings, LLC (‘TWG Global’), we are at the cutting edge of innovation and business transformation, leveraging data and AI to manage a diverse portfolio that spans Investments, Securities, Insurance, Finance, Corporate Lending, Merchant Banking, as well as Sports, Media, and Entertainment. Data is one of our most valuable assets, and our commitment to AI allows us to transform that data into a powerful competitive advantage. We are pioneering a range of data and AI services that provide real-time intelligence to both our customers and workforce, enabling them to make informed decisions within interactive, cloud-native business applications. As we evolve into an AI-first, model-driven, and cloud-native company, we prioritize responsible data and AI practices that protect our customers and workforce while ensuring compliance within a regulated environment. Our goal is to lead by example, acting with the highest standards of ethics, responsibility, and transparency. This commitment drives our development of cutting-edge AI/ML business applications across our diverse product and service offerings. In this role, you will be at the heart of our data and analytics transformation, collaborating closely with management teams to achieve our strategic objectives and operational excellence. Our decentralized structure empowers each business unit to operate autonomously while benefiting from the strategic guidance and support of our central AI Solutions Group. Through our pioneering partnerships with major data and AI vendors, you will have the opportunity to work on transformative projects that will revolutionize marketing, distribution, customer acquisition, and internal processes. These initiatives are designed to enhance productivity, reduce costs, and create high-demand products and services. The advanced data systems we develop will grant management unparalleled access to real-time performance data, enabling swift, informed decision-making and agile business adjustments. Moreover, you will play a crucial role in leveraging our strategic relationships and equity positions in leading tech startups. These collaborations are not just about staying ahead of the competition—they are about creating true competitive advantages across our businesses. You will contribute to projects that are reshaping industries, from harnessing cloud-based supercomputing capabilities to driving key initiatives with major universities that are shaping the future of technology. At TWG Global, your work will directly contribute to our ambitious goal of generating sustained growth and superior returns, with expected annual equity returns exceeding 20%, including growing dividends. Join us as we push the boundaries of technology and innovation, delivering significant value across our portfolio while making a profound impact on the industries we serve. The Role As a Senior Associate, Data Scientist , you’ll work alongside experienced data scientists and ML engineers to design, develop, and apply data-driven models and analyses that deliver measurable business value. Reporting to the Executive Director of AI Science, you’ll gain hands-on experience working on impactful projects across the enterprise, applying advanced analytics and machine learning to areas such as financial services, insurance, and operations optimization. This is a high-growth opportunity for someone with early industry experience (or strong academic grounding) in data science and applied statistics, eager to deepen their expertise and grow within a dynamic AI team working at the frontier of applied analytics and machine learning. Key Responsibilities: Own end-to-end development and ownership of predictive and statistical models addressing business-critical challenges across diverse domains. Conduct exploratory data analysis, feature engineering, and hypothesis testing to uncover patterns and support model development. Collaborate with senior data scientists and ML engineers to refine models, improve accuracy, and enhance interpretability. Support the design and evaluation of experiments and A/B tests, ensuring rigorous measurement of impact. Clean, transform, and prepare data from diverse sources, ensuring high-quality datasets for analysis. Build dashboards, reports, and visualizations that communicate insights clearly to technical and non-technical stakeholders. Stay current with emerging data science methods and tools (e.g., generative AI, LLMs, causal inference) and apply them through prototyping. Contribute to the team’s knowledge base by documenting workflows and sharing best practices. 4+ years of experience applying data science or advanced analytics in a professional setting, ideally structured finance. Solid understanding of statistical modeling, machine learning fundamentals, and experimental design. Experience with predictive modeling techniques such as regression, classification, clustering, or time-series forecasting. Proficiency in Python and experience with data science libraries (e.g., Pandas, NumPy, scikit-learn, XGBoost, PyTorch, TensorFlow). Strong experience with SQL and data manipulation across large datasets. Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Plotly, Tableau, or Power BI). Exposure to modern collaborative data platforms (e.g., Databricks, Snowflake, Palantir Foundry) is a plus. Excellent problem-solving skills, eagerness to learn, and ability to work in fast-paced, evolving environments. Strong written and verbal communication skills, with the ability to translate technical findings into business recommendations. Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or another quantitative discipline. Preferred : Hands-on experience with Palantir platforms (Foundry, AIP, Ontology), including developing analytical workflows and deploying insights within enterprise environments. PhD in Data Science, Statistics, Computer Science, or a related quantitative field. Publications in top data science / ML conferences or journals (e.g., NeurIPS, ICML, KDD, ACL, or similar). Open-source contributions to the data science or ML community (libraries, notebooks, packages, or tutorials). Experience presenting research or applied work at meetups, workshops, or industry conferences. Familiarity with vector databases (FAISS, Pinecone, Milvus, Weaviate) and LLM application frameworks. Cloud or AI/ML certifications (e.g., AWS Machine Learning Specialty, Google Professional Data Engineer, Azure AI Engineer) are a plus. Position Location This position is located onsite at our offices in Santa Monica, CA, or New York, NY. Relocation assistance can be provided for the right candidate. Compensation The base pay will for this position is $190,000-200,000. A bonus will be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.