Data Science Intern - SOLT

The Organization

At TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a diverse portfolio—including investments, finance, insurance, and media—by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees.

We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by the central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel transformative projects in marketing, operations, and product development.

You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive industry innovation.

At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver significant value and impact across our businesses.

The Role

As a Data Science Intern on the SOLT (Simulation Optimization and Reinforcement Learning) team , you will help design, build, and test production AI systems that power business workflows across a diversified portfolio. You will be assigned to active use cases based on team needs at the time, gaining hands-on experience across the full range of the team's work—spanning areas such as predictive modeling, time series forecasting, reinforcement learning, optimization, and LLM-powered applications. You will operate with unusual scope for an intern: real business problems and work that ships to production.

You will train as a forward-deployed data scientist, working under the guidance of experienced data scientists and ML engineers and alongside the businesses we serve—developing skills in predictive modeling, experimentation, and optimization while contributing to LLM-powered products. You will gain direct exposure to business stakeholders and learn to translate complex business workflows into working AI systems.

This is a hands-on technical internship: you will spend most of your time building, testing, and evaluating models and applications, contributing to a culture of rapid iteration, rigorous evaluation, and responsible AI.

Key Responsibilities

• Contribute to business problems from ambiguity to production: help operating teams frame the question, build the models and applications that answer it, and support shipping them into daily business workflows.
• Assist in building predictive models (including time series forecasting), experimentation frameworks, optimization, and reinforcement learning systems—turning business data into decision-ready insight for business leaders.
• Contribute to production LLM applications: structured extraction from complex documents, retrieval-augmented generation, conversational AI, multi-step orchestration, and rigorous evaluation.
• Explore emerging AI techniques and tools (e.g., foundation models, intelligent agents and agentic workflows, Graph AI, LLM evaluation frameworks, vector databases, RAG architectures) through hands-on prototyping and benchmarking.
• Conduct exploratory data analysis, feature engineering, and experiment design to uncover patterns and rigorously measure impact.
• Collaborate with team members and business stakeholders to understand workflows and translate business requirements into technical tasks.
• Maintain documentation of your work and contribute to the measurement and reporting of project performance, ensuring adherence to governance and quality standards.

Qualifications

• Currently enrolled in a Master's or PhD program in Computer Science, Data Science, Statistics, Engineering, or a closely related discipline.
• Coursework or project experience in AI/ML, including at least one of: predictive modeling, time series forecasting, experiment design and causal inference, optimization, or reinforcement learning—with strong statistical foundations.
• Hands-on experience building LLM applications—prompt engineering, retrieval-augmented generation, structured output parsing, and evaluation—through coursework, research, internships, or personal projects.
• Proficiency in Python and data science libraries (e.g., Pandas, NumPy, scikit-learn, PyTorch).
• Strong analytical and problem-solving skills, with the ability to work collaboratively in a team environment.
• Strong communication skills, with the ability to present technical concepts to non-technical audiences.

Preferred Qualifications

• Hands-on experience with enterprise data and AI platforms (e.g., Palantir Foundry or similar), or cloud-based AI/ML tools.
• Experience applying data science to real business problems through internships, research collaborations, or industry projects.
• Exposure to AI/ML governance, ethics, or responsible AI practices.

Compensation

The expected hourly rate for this role is $50.00/hour.

Position Location

Santa Monica, CA

TWG is an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

*This job posting is not to be reposted without the explicit permission of TWG AI.