Analyst Programmer - Data Science

We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$69 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 , and read about the latest news via our StoryHub . Description and Requirements

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Analyst Programmer – Data Scientist Description LPS is a leading E2E solution provider, company partner dedicated to unlocking IT systems across regions, is actively passionate talent to join their dynamic team. This role offers an exciting opportunity to the growing team in Malaysia. By joining LPS Technology, you'll help create a smooth and seamless experience for customers interacting with LPS, while also enhancing their independence. Your mission will be to enhance these interactions through ongoing improvements and updates to our technology You will : Collaborate with data scientists, engineers, and product teams to design and build AI-driven applications and automation solutions that improve operational efficiency. Support the development and integration of Generative AI capabilities using Large Language Models (LLMs), prompt engineering. Design, develop, and maintain full-stack applications or system components involving but not limited to AI / ML models, APIs, and data pipelines. Integrate AI features (e.g., chatbots, document understanding, summarization, or vision analytics) into internal tools and systems. Manage and integrate REST APIs to connect analytics services, LLM backends, and external systems securely and efficiently. Support the deployment and monitoring of AI models using DevOps / MLOps tools such as Docker, Kubernetes, and MLflow, and deploy to AWS or Edge environments. Translate business or user requirements into technical specifications and system designs. Continuously learn and apply emerging technologies in AI / ML, LLMs, and cloud-native applications to production use cases. You bring : Bachelor’s or master’s degree in computer science, Data Science, Engineering, Statistics, or a related discipline. 3 to 5+ years of experience in data science, with at least 2–3 years of hands-on experience in data engineering or backend data workflows. Proficient in Python (Pandas, NumPy, scikit-learn) and SQL. Strong grasp of machine learning, deep learning, and statistical modeling. Deep understanding of cloud platforms (AWS / GCP / Azure), especially cloud-based data services. Familiarity with CI / CD pipelines, Docker, and container orchestration (e.g., Kubernetes). Exposure to modern data platforms : Snowflake, Databricks, BigQuery, etc. Knowledge of data pipelines, SQL, and data processing frameworks is a plus. If you require an accommodation to complete this application, please

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