Junior Data Science Specialist

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Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 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 (Junior / Mid-level) to support and drive Data Science and AI 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 analysis
• 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
  
  

• Support the development of analyses and models under supervision
• Perform data preparation and cleaning (data wrangling)
• Develop analytical projects
• Document activities and processes
• Apply Data Science and AI tools and methodologies
• Support operational demands of the area
• Intermediate/Avanced English level required.