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AI Data Science Intern

Job not on LinkedIn

🔥 22 minutes ago

🇬🇧 United Kingdom – Remote

đź’µ ÂŁ36 / hour

👨‍🎓 Internship

⚪️ Entry-level

📊 Data Scientist

đź‘» Ghost score 0%

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Logo of TWG Global

TWG Global

51 - 200 employees

đź’Ľ Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

TWG Global is a diversified holding company that invests in and operates businesses across investment management, securities, finance and corporate lending, merchant banking and private investments, AI and technology, and sports, media & entertainment. The firm emphasizes long‑term value creation through operational transformation and strategic use of proprietary TWG AI to embed intelligence across underwriting, customer engagement, compliance, and capital deployment, driving growth and industry disruption for its portfolio companies.

đź“‹ Description

• Assist in developing, testing, and productionizing AI/ML models and applications • Support agentic and LLM-based pipelines, including retrieval, extraction, grounding, evaluation, and cost/latency profiling • Develop robust, structured, and testable production code on cloud-native data and AI platforms • Work with Engineering on integration, monitoring, and iteration after deployment • Maintain documentation and inventory of AI/ML projects in line with governance and quality standards • Collaborate with team members and business stakeholders to translate requirements into technical tasks and acceptance criteria • Stay informed about emerging AI technologies and best practices and share insights • Measure and report model accuracy, subject-matter-expert agreement rates, latency, cost, and business KPIs before and after launch

🎯 Requirements

• 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 machine learning and deep learning, time series forecasting, reinforcement learning, optimization, or conversational AI • Familiarity with Python and common AI/ML frameworks, including TensorFlow, PyTorch, scikit-learn, Pandas, and NumPy • Software engineering fundamentals: version control, code review, modular design, and writing testable code intended for production • Strong analytical and problem-solving skills • Ability to design machine learning experiments and define model performance metrics aligned with business goals • Ability to work collaboratively in a team environment

🏖️ Benefits

• Expected hourly rate of ~$36.94 GBP/hour • Equal opportunity employment

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