• Work with raw, high-frequency sensor data: GPS, accelerometer, gyroscope, at scale • Research new behavioural features and detection algorithms • Design and build behavioural features and factors that feed Zego's understanding of driving quality • Take ideas from hypothesis to production • Prioritise simple, robust solutions • Lead experiments, validate impact with data, and automate insight generation • Collaborate closely with software engineers, product managers, and actuaries

• Define and execute a multi-year product vision and roadmap for search relevance. • Partner closely with data science, engineering and digital stakeholders to define requirements, prioritize initiatives, and deliver measurable business impact. • Translate complex data science and search concepts into clear business and athlete value. • Establish KPIs to measure value realization and impact of search data science capabilities. • Define and monitor metrics to continuously improve search relevance and model performance. • Partner with analytics and optimization teams to design and execute A/B tests across digital channels. • Own prioritization and tradeoff decisions across search relevance models, experimentation strategy, and platform investments.

About the Role This internship is part of Tech Seeds 2026 — our program to identify and develop AI-native young talent. As an Applied Data Scientist young talent, you will take on a hands-on builder role at the intersection of AI research and production systems, working alongside full-time algorithm engineers on LLM applications and AI system architecture from day one. This is not a shadowing role. You will own deliverables, run experiments, and ship code that matters. What You'll Do Support the design and development of LLM-powered pipelines and AI application components Build and test prompt engineering strategies, retrieval-augmented generation (RAG) setups, or agent workflows Assist in model evaluation — designing metrics, running benchmarks, and interpreting results Analyze system performance and identify opportunities for improvement in latency, accuracy, or cost Use AI coding tools as a core part of your workflow — not as a shortcut, but as a force multiplier Collaborate with senior engineers and researchers to understand production AI system architecture What We're Looking For Currently pursuing Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field Expected graduation in 2026 or 2027 Solid Python programming skills and comfort with data manipulation (Pandas, NumPy) Basic understanding of machine learning concepts and at least one deep learning framework (PyTorch preferred) Curiosity about LLMs and generative AI — hands-on experimentation is a strong signal Ability to break down complex problems and work through them systematically Available for a 6-month full-time commitment Bonus Points Personal projects, coursework, or competition experience involving LLMs or generative AI Familiarity with tools like LangChain, OpenAI API, or Hugging Face Experience with Git and collaborative development workflows What Makes You a Fit for Tech Seeds 2026 You've already been experimenting with AI tools on your own — not because you had to, but because you were curious. You learn fast and want to build things that work in the real world.

• As a Data Scientist (m/f/d), you drive data-driven decision making across the company. • You design and develop new data products for our service division, with a focus on group-wide reporting. • In the longer term, you will also support organizational development through the introduction and use of process mining tools for process analysis and optimization. • In addition, you will be responsible for further data-related development initiatives and provide valuable decision-making insights through your analyses. • Your work strengthens a culture of data thinking and makes data-driven services actionable, giving you a direct impact on the success of the entire company.