Data Science specialist

We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com , and read about the latest news via our StoryHub . We are looking for a Data & AI Analyst ( Mid-level) to support and drive Data Science and Artificial Intelligence initiatives within the Services organization, acting as a key enabler between business needs and advanced analytics solutions. This professional will play a critical role in identifying opportunities, structuring use cases, developing analytical models, and promoting a data-driven culture across Services. The role involves close collaboration with business stakeholders and external partners to ensure scalable and impactful solutions. Additionally, the analyst will act as a Data & AI evangelist, fostering adoption, educating teams, and supporting the integration of analytics into operational and strategic decision-making, ensuring alignment with corporate guidelines and business objectives. General Responsibilities · Identify opportunities to apply Data Analytics, Machine Learning, AI, and other innovative technologies within Services processes · Perform data collection, cleansing, analysis, and interpretation · Support the structuring of AI/Data Science use cases (business case, ROI, impact) · Develop dashboards, reports, automations, and exploratory analyses · Document analytical processes, models, and data flows · Collaborate with stakeholders to translate business needs into analytical solutions · Ensure data quality, governance, and consistency · Support automation and continuous improvement initiatives · Lead or support training sessions and awareness initiatives on Data and AI usage · Act as a data-driven culture evangelist, promoting best practices Position Responsibilities: · Lead small to medium complexity Data & AI initiatives · Develop machine learning models · Design and implement data pipelines and analytical automations · Build end-to-end solutions (from problem definition to deployment, when applicable) · Influence stakeholders and support data-driven decision-making · Identify and propose new AI opportunities · Act as a technical reference for Services stakeholders · Facilitate workshops, training sessions, and ideation sessions · Advanced English level