AI/ML Scientist Intern

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 an intern with the AI/ML Center of Excellence on the UK Team, you will contribute to the development and deployment of advanced AI solutions that support key business objectives such as cost savings and revenue growth. Under the guidance of experienced team members, you will participate in AI/ML projects across various domains, gaining hands-on experience in areas like deep learning, time series forecasting, reinforcement learning, optimization, speech and conversational AI, and Graph AI. You will also have the opportunity to support initiatives related to foundational AI models and intelligent agents.

You will work within a team committed to upholding the highest standards of trust, transparency, safety, and security in AI, ensuring ethical practices and compliance with relevant regulations. Collaboration with cross-functional teams and stakeholders will be a key part of your experience, providing exposure to both technical and business aspects of AI/ML initiatives.

Responsibilities 

• Assist in the development and testing of AI/ML models, including deep learning (RNN, CNN, embeddings, transformer/LLM), time series forecasting, reinforcement learning, optimization, and conversational AI.
• Develop robust, well-structured, and testable code to enable a seamless deployment into production by the Engineering team.
• Support the Foundation Model and Agents Task Forces by contributing to research, data preparation, and model evaluation.
• Participate in maintaining documentation and inventory of AI/ML projects, ensuring adherence to governance and quality standards.
• Collaborate with team members and stakeholders to understand business requirements and translate them into technical tasks.
• Stay informed about emerging AI technologies and best practices, sharing insights with the team.
• Contribute to the measurement and reporting of project performance metrics.

Minimum Qualifications: 

• Currently enrolled in a master’s program in Computer Science, Engineering, Data Science, or a related field.
• Coursework or project experience in AI/ML, including exposure to at least one of the following areas: machine learning and deep learning, time series forecasting, reinforcement learning, optimization, or conversational AI.
• Familiarity with Python or similar programming languages and common toolkits and AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NumPy).
• Strong analytical and problem-solving skills.
• Ability to design machine learning experiments and define model performance metrics that ensure AI outputs are aligned with business goals.
• Ability to work collaboratively in a team environment.

Preferred Qualifications: 

• Experience with cloud-based AI/ML and data tools or platforms.
• Exposure to AI/ML governance, ethics, or responsible AI practices.
• Participation in research or industry projects related to Graph AI or Foundation Models
• Strong written and spoken communication skills and ability to present technical concepts to non-technical audiences.

Compensation 

The expected hourly rate for this role is ~$31.97 GBP/hour.

Position Location 

United Kingdom, Remote